Example of Scandinavian Journal of Immunology format
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Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format
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Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format Example of Scandinavian Journal of Immunology format
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Scandinavian Journal of Immunology — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Immunology #115 of 202 up up by 5 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 360 Published Papers | 1680 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 20/06/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

2.717

6% from 2018

Impact factor for Scandinavian Journal of Immunology from 2016 - 2019
Year Value
2019 2.717
2018 2.563
2017 2.314
2016 2.256
graph view Graph view
table view Table view

4.7

7% from 2019

CiteRatio for Scandinavian Journal of Immunology from 2016 - 2020
Year Value
2020 4.7
2019 4.4
2018 4.3
2017 4.0
2016 4.0
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 6% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 7% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.934

10% from 2019

SJR for Scandinavian Journal of Immunology from 2016 - 2020
Year Value
2020 0.934
2019 0.849
2018 0.845
2017 0.891
2016 0.979
graph view Graph view
table view Table view

0.838

1% from 2019

SNIP for Scandinavian Journal of Immunology from 2016 - 2020
Year Value
2020 0.838
2019 0.85
2018 0.702
2017 0.635
2016 0.651
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 10% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 1% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Scandinavian Journal of Immunology

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Wiley

Scandinavian Journal of Immunology

Approved by publishing and review experts on SciSpace, this template is built as per for Scandinavian Journal of Immunology formatting guidelines as mentioned in Wiley author instructions. The current version was created on 19 Jun 2020 and has been used by 296 authors to write and format their manuscripts to this journal.

Medicine

i
Last updated on
19 Jun 2020
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ISSN
0300-9475
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Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
apa
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Citation Type
Numbered
[25]
i
Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

open accessOpen access Journal Article
A Tissue-Based Map of the Human Proteome

Abstract:

Protein expression across human tissues Sequencing the human genome gave new insights into human biology and disease. However, the ultimate goal is to understand the dynamic expression of each of the approximately 20,000 protein-coding genes and the function of each protein. Uhlén et al. now present a map of protein expressio... Protein expression across human tissues Sequencing the human genome gave new insights into human biology and disease. However, the ultimate goal is to understand the dynamic expression of each of the approximately 20,000 protein-coding genes and the function of each protein. Uhlén et al. now present a map of protein expression across 32 human tissues. They not only measured expression at an RNA level, but also used antibody profiling to precisely localize the corresponding proteins. An interactive website allows exploration of expression patterns across the human body. Science, this issue 10.1126/science.1260419 Transcriptomics and immunohistochemistry map protein expression across 32 human tissues. INTRODUCTION Resolving the molecular details of proteome variation in the different tissues and organs of the human body would greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on quantitative transcriptomics on a tissue and organ level combined with protein profiling using microarray-based immunohistochemistry to achieve spatial localization of proteins down to the single-cell level. We provide a global analysis of the secreted and membrane proteins, as well as an analysis of the expression profiles for all proteins targeted by pharmaceutical drugs and proteins implicated in cancer. RATIONALE We have used an integrative omics approach to study the spatial human proteome. Samples representing all major tissues and organs (n = 44) in the human body have been analyzed based on 24,028 antibodies corresponding to 16,975 protein-encoding genes, complemented with RNA-sequencing data for 32 of the tissues. The antibodies have been used to produce more than 13 million tissue-based immunohistochemistry images, each annotated by pathologists for all sampled tissues. To facilitate integration with other biological resources, all data are available for download and cross-referencing. RESULTS We report a genome-wide analysis of the tissue specificity of RNA and protein expression covering more than 90% of the putative protein-coding genes, complemented with analyses of various subproteomes, such as predicted secreted proteins (n = 3171) and membrane-bound proteins (n = 5570). The analysis shows that almost half of the genes are expressed in all analyzed tissues, which suggests that the gene products are needed in all cells to maintain “housekeeping” functions such as cell growth, energy generation, and basic metabolism. Furthermore, there is enrichment in metabolism among these genes, as 60% of all metabolic enzymes are expressed in all analyzed tissues. The largest number of tissue-enriched genes is found in the testis, followed by the brain and the liver. Analysis of the 618 proteins targeted by clinically approved drugs unexpectedly showed that 30% are expressed in all analyzed tissues. An analysis of metabolic activity based on genome-scale metabolic models (GEMS) revealed liver as the most metabolically active tissue, followed by adipose tissue and skeletal muscle. CONCLUSIONS A freely available interactive resource is presented as part of the Human Protein Atlas portal (www.proteinatlas.org), offering the possibility to explore the tissue-elevated proteomes in tissues and organs and to analyze tissue profiles for specific protein classes. Comprehensive lists of proteins expressed at elevated levels in the different tissues have been compiled to provide a spatial context with localization of the proteins in the subcompartments of each tissue and organ down to the single-cell level. The human tissue–enriched proteins. All tissue-enriched proteins are shown for 13 representative tissues or groups of tissues, stratified according to their predicted subcellular localization. Enriched proteins are mainly intracellular in testis, mainly membrane bound in brain and kidney, and mainly secreted in pancreas and liver. Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray–based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. read more read less

Topics:

Human proteome project (82%)82% related to the paper
2,562 Citations
Journal Article DOI: 10.1111/J.1365-3083.1976.TB03851.X
Isolation of lymphocytes, granulocytes and macrophages.
Arne Bøyum1

Abstract:

This paper presents the standard procedure for isolating lymphocytes and granulocytes from blood, using the Isopaque-Ficoll technique. A procedure for isolating granulocytes and macrophages from peritoneal fluid is also described. This paper presents the standard procedure for isolating lymphocytes and granulocytes from blood, using the Isopaque-Ficoll technique. A procedure for isolating granulocytes and macrophages from peritoneal fluid is also described. read more read less

Topics:

Myelopoiesis (56%)56% related to the paper, Ficoll (52%)52% related to the paper
1,581 Citations
open accessOpen access Journal Article DOI: 10.1046/J.1365-3083.2003.01176.X
Mesenchymal stem cells inhibit and stimulate mixed lymphocyte cultures and mitogenic responses independently of the major histocompatibility complex.
K. Le Blanc, L. Tammik1, Berit Sundberg1, S. E. Haynesworth2, O Ringdén1

Abstract:

We aimed to study the effects of mesenchymal stem cells (MSCs) on alloreactivity and effects of T-cell activation on human peripheral blood lymphocytes (PBLs) in vitro. MSCs were expanded from the bone marrow of healthy subjects. MSCs isolated from second to third passage were positive for CD166, CD105, CD44, CD29, SH-3 and S... We aimed to study the effects of mesenchymal stem cells (MSCs) on alloreactivity and effects of T-cell activation on human peripheral blood lymphocytes (PBLs) in vitro. MSCs were expanded from the bone marrow of healthy subjects. MSCs isolated from second to third passage were positive for CD166, CD105, CD44, CD29, SH-3 and SH-4, but negative for CD34 and CD45. MSCs cultured in osteogenic, adipogenic or chondrogenic media differentiated, respectively, into osteocytes, adipocytes or chondrocytes. MSC added to PBL cultures had various effects, ranging from slight inhibition to stimulation of DNA synthesis. The stimulation index (SI = (PBL + MSC)/PBL) varied between 0.2 and 7.3. The SI was not affected by the MSC dose or by the addition of allogeneic or autologous MSCs to the lymphocytes. Suppression of proliferative activity was observed in all experiments after the addition of 10,000-40,000 MSCs to mixed lymphocyte cultures (MLCs). Lymphocyte proliferation was 10-90%, compared with a control MLC run in parallel without MSCs. In contrast, the addition of fewer MSCs (10-1000 cells) led to a less consistent suppression or a marked lymphocyte proliferation in several experiments, ranging from 40 to 190% of the maximal lymphocyte proliferation in control MLCs. The ability to inhibit or stimulate T-cell alloresponses appeared to be independent of the major histocompatibility complex, as results were similar using 'third party' MSCs or MSCs that were autologous to the responder or stimulating PBLs. The strongest inhibitory effect was seen if MSCs were added at the beginning of the 6 day culture, and the effect declined if MSCs were added on day 3 or 5. Marked inhibitory effects of allogeneic and autologous MSCs (15,000) were also noted after mitogenic lymphocyte stimulation by phytohaemagglutinin (median lymphocyte proliferation of 30% of controls), Concanavalin A (56%) and protein A (65%). Little, if any, inhibition occurred after stimulation with pokeweed mitogen. Low numbers of MSCs (150 cells) were unable to inhibit mitogen-induced T-cell responses. MSCs have significant immune modulatory effects on MLCs and after mitogenic stimulation of PBL. High numbers of MSCs suppress alloreactive T cells, whereas very low numbers clearly stimulated lymphocyte proliferation in some experiments. The effect of a larger number of MSCs on MLCs seems more dependent on cell dose than histocompatibility and could result from an 'overload' of a stimulatory mechanism. read more read less

Topics:

Lymphocyte proliferation (58%)58% related to the paper, Mesenchymal stem cell (54%)54% related to the paper, Lymphocyte (52%)52% related to the paper, Stem cell (50%)50% related to the paper
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1,379 Citations
Journal Article DOI: 10.1111/J.1365-3083.1973.TB03798.X
Immunization, isolation of immunoglobulins, estimation of antibody titre.

Abstract:

Summary. High titred monospecific antibodies are obtained in rabbits injecting as little as 25 μg pure antigen per kg body weight. For polyspecific antibodies the dose is increased 10 times. The immunization schedule is described in detail. A procedure is given for the isolation of the immunoglobulins from antiserum by saltin... Summary. High titred monospecific antibodies are obtained in rabbits injecting as little as 25 μg pure antigen per kg body weight. For polyspecific antibodies the dose is increased 10 times. The immunization schedule is described in detail. A procedure is given for the isolation of the immunoglobulins from antiserum by salting out and ion exchange chromatography. Finally antibody titres as measured by 4 different titration methods are compared using anti-human IgG from rabbits as a model. read more read less

Topics:

Antiserum (52%)52% related to the paper
882 Citations
open accessOpen access Journal Article DOI: 10.1111/J.1365-3083.2009.02308.X
How do Regulatory T Cells Work
Alexandre Corthay1

Abstract:

CD4(+) T cells are commonly divided into regulatory T (Treg) cells and conventional T helper (Th) cells. Th cells control adaptive immunity against pathogens and cancer by activating other effector immune cells. Treg cells are defined as CD4(+) T cells in charge of suppressing potentially deleterious activities of Th cells. T... CD4(+) T cells are commonly divided into regulatory T (Treg) cells and conventional T helper (Th) cells. Th cells control adaptive immunity against pathogens and cancer by activating other effector immune cells. Treg cells are defined as CD4(+) T cells in charge of suppressing potentially deleterious activities of Th cells. This review briefly summarizes the current knowledge in the Treg field and defines some key questions that remain to be answered. Suggested functions for Treg cells include: prevention of autoimmune diseases by maintaining self-tolerance; suppression of allergy, asthma and pathogen-induced immunopathology; feto-maternal tolerance; and oral tolerance. Identification of Treg cells remains problematic, because accumulating evidence suggests that all the presently-used Treg markers (CD25, CTLA-4, GITR, LAG-3, CD127 and Foxp3) represent general T-cell activation markers, rather than being truly Treg-specific. Treg-cell activation is antigen-specific, which implies that suppressive activities of Treg cells are antigen-dependent. It has been proposed that Treg cells would be self-reactive, but extensive TCR repertoire analysis suggests that self-reactivity may be the exception rather than the rule. The classification of Treg cells as a separate lineage remains controversial because the ability to suppress is not an exclusive Treg property. Suppressive activities attributed to Treg cells may in reality, at least in some experimental settings, be exerted by conventional Th cell subsets, such as Th1, Th2, Th17 and T follicular (Tfh) cells. Recent reports have also demonstrated that Foxp3(+) Treg cells may differentiate in vivo into conventional effector Th cells, with or without concomitant downregulation of Foxp3. read more read less

Topics:

Immune tolerance (66%)66% related to the paper, IL-2 receptor (59%)59% related to the paper, Interleukin 21 (59%)59% related to the paper, Cytotoxic T cell (58%)58% related to the paper, FOXP3 (57%)57% related to the paper
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577 Citations
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Frequently asked questions

1. Can I write Scandinavian Journal of Immunology in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Scandinavian Journal of Immunology guidelines and auto format it.

2. Do you follow the Scandinavian Journal of Immunology guidelines?

Yes, the template is compliant with the Scandinavian Journal of Immunology guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Scandinavian Journal of Immunology?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Scandinavian Journal of Immunology citation style.

4. Can I use the Scandinavian Journal of Immunology templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Scandinavian Journal of Immunology.

5. Can I use a manuscript in Scandinavian Journal of Immunology that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Scandinavian Journal of Immunology that you can download at the end.

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7. Where can I find the template for the Scandinavian Journal of Immunology?

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SciSpace's Scandinavian Journal of Immunology is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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After writing your paper autoformatting in Scandinavian Journal of Immunology, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Scandinavian Journal of Immunology's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Scandinavian Journal of Immunology?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Scandinavian Journal of Immunology. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Scandinavian Journal of Immunology?

The 5 most common citation types in order of usage for Scandinavian Journal of Immunology are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Scandinavian Journal of Immunology?

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16. Can I download Scandinavian Journal of Immunology in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Scandinavian Journal of Immunology Endnote style according to Elsevier guidelines.

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