Example of Critical Reviews in Biochemistry and Molecular Biology format
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Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format
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Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format Example of Critical Reviews in Biochemistry and Molecular Biology format
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open access Open Access
recommended Recommended

Critical Reviews in Biochemistry and Molecular Biology — Template for authors

Publisher: Taylor and Francis
Categories Rank Trend in last 3 yrs
Biochemistry #20 of 415 up up by 5 ranks
Molecular Biology #32 of 382 up up by 2 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 128 Published Papers | 1783 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 12/06/2020
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Top papers
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FAQ

Related Journals

open access Open Access

De Gruyter

Quality:  
High
CiteRatio: 6.5
SJR: 1.246
SNIP: 0.854
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Oxford University Press

Quality:  
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CiteRatio: 9.9
SJR: 3.599
SNIP: 2.056
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American Association for the Advancement of Science

Quality:  
High
CiteRatio: 10.6
SJR: 3.659
SNIP: 1.504
open access Open Access

Springer

Quality:  
High
CiteRatio: 6.8
SJR: 1.329
SNIP: 1.08

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.

7.634

26% from 2018

Impact factor for Critical Reviews in Biochemistry and Molecular Biology from 2016 - 2019
Year Value
2019 7.634
2018 6.069
2017 5.279
2016 6.639
graph view Graph view
table view Table view

13.9

18% from 2019

CiteRatio for Critical Reviews in Biochemistry and Molecular Biology from 2016 - 2020
Year Value
2020 13.9
2019 11.8
2018 9.7
2017 11.2
2016 14.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 26% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 18% 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.

4.634

2% from 2019

SJR for Critical Reviews in Biochemistry and Molecular Biology from 2016 - 2020
Year Value
2020 4.634
2019 4.542
2018 3.703
2017 4.977
2016 5.283
graph view Graph view
table view Table view

2.046

15% from 2019

SNIP for Critical Reviews in Biochemistry and Molecular Biology from 2016 - 2020
Year Value
2020 2.046
2019 1.775
2018 1.462
2017 1.7
2016 1.792
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 2% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 15% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Critical Reviews in Biochemistry and Molecular Biology

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Taylor and Francis

Critical Reviews in Biochemistry and Molecular Biology

Approved by publishing and review experts on SciSpace, this template is built as per for Critical Reviews in Biochemistry and Molecular Biology formatting guidelines as mentioned in Taylor and Francis author instructions. The current version was created on 12 Jun 2020 and has been used by 519 authors to write and format their manuscripts to this journal.

Biochemistry

Molecular Biology

Biochemistry, Genetics and Molecular Biology

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Last updated on
12 Jun 2020
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ISSN
1040-9238
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Impact Factor
High - 1.558
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
Taylor and Francis Custom Citation
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Citation Type
Numbered
[25]
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Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys Rev B. 1982; 25(7):4515–4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Journal Article DOI: 10.3109/10409239509083491
The glutathione S-transferase supergene family: regulation of GST and the contribution of the isoenzymes to cancer chemoprotection and drug resistance.
John D. Hayes1, David J. Pulford1

Abstract:

The glutathione S-transferases (GST) represent a major group of detoxification enzymes. All eukaryotic species possess multiple cytosolic and membrane-bound GST isoenzymes, each of which displays distinct catalytic as well as noncatalytic binding properties: the cytosolic enzymes are encoded by at least five distantly related... The glutathione S-transferases (GST) represent a major group of detoxification enzymes. All eukaryotic species possess multiple cytosolic and membrane-bound GST isoenzymes, each of which displays distinct catalytic as well as noncatalytic binding properties: the cytosolic enzymes are encoded by at least five distantly related gene families (designated class alpha, mu, pi, sigma, and theta GST), whereas the membrane-bound enzymes, microsomal GST and leukotriene C, synthetase, are encoded by single genes and both have arisen separately from the soluble GST. Evidence suggests that the level of expression of GST is a crucial factor in determining the sensitivity of cells to a broad spectrum of toxic chemicals. In this article the biochemical functions of GST are described to show how individual isoenzymes contribute to resistance to carcinogens, antitumor drugs, environmental pollutants, and products of oxidative stress.A description of the mechanisms of transcriptional and posttranscriptional regulat... read more read less

Topics:

Glutathione S-transferase (61%)61% related to the paper, Glutathione S-Transferase A1 (53%)53% related to the paper, Glutathione S-Transferase pi (52%)52% related to the paper, Isozyme (51%)51% related to the paper, GSTA4 (51%)51% related to the paper
3,516 Citations
Journal Article DOI: 10.3109/10409239509085140
The Use and Misuse of FTIR Spectroscopy in the Determination of Protein Structure
Michael B. Jackson1, Henry H. Mantsch1

Abstract:

Fourier transform infrartd (FTIR) spectroscopy is an established tool for the structural character- ization of proteins. However, many potential pitfalls exist for the unwary investigator. In this review we critically assess the application of FIlR spectroscopy to the determination of protein structure by (1) outlining the pr... Fourier transform infrartd (FTIR) spectroscopy is an established tool for the structural character- ization of proteins. However, many potential pitfalls exist for the unwary investigator. In this review we critically assess the application of FIlR spectroscopy to the determination of protein structure by (1) outlining the principles underlying protein secondary structure determination by FZZR spectroscopy. (2) highhghting the situations in which FZZR spectroscopy should be considered the technique of choice, (3) discussing the manner in which experiments should be conducted to derive as much physiologically relevant information as possible, and (4) outlining current methods for the determination of secondary structure from infrared spectm of proteins, read more read less
1,760 Citations
Journal Article DOI: 10.3109/10409239309078440
Evolution and Taxonomy of Positive-Strand RNA Viruses: Implications of Comparative Analysis of Amino Acid Sequences
Eugene V. Koonin1, Valerian V. Dolja2, T. Jack Morris

Abstract:

Despite the rapid mutational change that is typical of positive-strand RNA viruses, enzymes mediating the replication and expression of virus genomes contain arrays of conserved sequence motifs. Proteins with such motifs include RNA-dependent RNA polymerase, putative RNA helicase, chymotrypsin-like and papain-like proteases, ... Despite the rapid mutational change that is typical of positive-strand RNA viruses, enzymes mediating the replication and expression of virus genomes contain arrays of conserved sequence motifs. Proteins with such motifs include RNA-dependent RNA polymerase, putative RNA helicase, chymotrypsin-like and papain-like proteases, and methyltransferases. The genes for these proteins form partially conserved modules in large subsets of viruses. A concept of the virus genome as a relatively evolutionarily stable "core" of housekeeping genes accompanied by a much more flexible "shell" consisting mostly of genes coding for virion components and various accessory proteins is discussed. Shuffling of the "shell" genes including genome reorganization and recombination between remote groups of viruses is considered to be one of the major factors of virus evolution. Multiple alignments for the conserved viral proteins were constructed and used to generate the respective phylogenetic trees. Based primarily on the tentative phylogeny for the RNA-dependent RNA polymerase, which is the only universally conserved protein of positive-strand RNA viruses, three large classes of viruses, each consisting of distinct smaller divisions, were delineated. A strong correlation was observed between this grouping and the tentative phylogenies for the other conserved proteins as well as the arrangement of genes encoding these proteins in the virus genome. A comparable correlation with the polymerase phylogeny was not found for genes encoding virion components or for genome expression strategies. It is surmised that several types of arrangement of the "shell" genes as well as basic mechanisms of expression could have evolved independently in different evolutionary lineages. The grouping revealed by phylogenetic analysis may provide the basis for revision of virus classification, and phylogenetic taxonomy of positive-strand RNA viruses is outlined. Some of the phylogenetically derived divisions of positive-strand RNA viruses also include double-stranded RNA viruses, indicating that in certain cases the type of genome nucleic acid may not be a reliable taxonomic criterion for viruses. Hypothetical evolutionary scenarios for positive-strand RNA viruses are proposed. It is hypothesized that all positive-strand RNA viruses and some related double-stranded RNA viruses could have evolved from a common ancestor virus that contained genes for RNA-dependent RNA polymerase, a chymotrypsin-related protease that also functioned as the capsid protein, and possibly an RNA helicase. read more read less

Topics:

RNA virus (69%)69% related to the paper, RNA-dependent RNA polymerase (68%)68% related to the paper, RNA polymerase (66%)66% related to the paper, Viral evolution (66%)66% related to the paper, RNA (66%)66% related to the paper
1,107 Citations
Journal Article DOI: 10.3109/10409239509083488
Prediction of protein structural classes.
Kuo-Chen Chou, Chun-Ting Zhang1

Abstract:

A protein is usually classified into one of the following five struc- tural classes: a!, j3, a! +j3, a!/j3, and ( (irregular). The structural class of aprotein is correlated with its amino acid composition. However, given the amino acid composition of aprotein, how may one predict its structural class? Various efforts have be... A protein is usually classified into one of the following five struc- tural classes: a!, j3, a! +j3, a!/j3, and ( (irregular). The structural class of aprotein is correlated with its amino acid composition. However, given the amino acid composition of aprotein, how may one predict its structural class? Various efforts have been made in addressing this problem. This review addresses the progress in this field, with the focus on the state of the art, which is featured by a novel prediction algorithm and a recently developed database. The novel algorithm is characterized by a covariance matrix that takes into account the coupling effect among different amino acid components of a protein. The new database was established based on the requirement that the classes should have (1) as many nonhomologous structures as possible, (2) good quality structure, and (3) typical or distinguishable features for each of the structural classes concerned. The very high success rate for both the training-set proteins and the testing-set proteins, which has been further validated by a simulated analysis and a jackknife analysis, indicates that it is possible to predict the structural class of a protein according to its amino acid composition if an ideal and complete database can be established. It also suggests that the overall fold of a protein is basically determined by its amino acid composition. read more read less

Topics:

Pseudo amino acid composition (63%)63% related to the paper
1,055 Citations
Journal Article DOI: 10.3109/10409239009090612
Cold denaturation of proteins.
Peter L. Privalov1

Abstract:

This article summarizes all experimental facts concerning the cold denaturation of single-domain, multi-domain, and multimeric globular proteins in aqueous solutions with and without urea and guanidine hydrochloride. The facts obtained by various experimental techniques are analyzed thermodynamically and it is shown that the ... This article summarizes all experimental facts concerning the cold denaturation of single-domain, multi-domain, and multimeric globular proteins in aqueous solutions with and without urea and guanidine hydrochloride. The facts obtained by various experimental techniques are analyzed thermodynamically and it is shown that the cold denaturation is a general phenomenon caused by the very specific and strongly termperature-dependent interaction of protein nonpolar groups with water. Hydration of these groups, in contrast to expectations, is favorable thermodynamically, i.e., the Gibbs energy of hydration is negative and increases in magnitude at a temperature decrease. As a result, the polypeptide chain, tightly packed in a compact native structure, unfolds at a sufficiently low temperature, exposing internal nonpolar groups to water. The reev-aluation of the hydration effect on the base of direct calorimetric studies of protein denaturation and of transfer of non-polar compounds into water leads to r... read more read less

Topics:

Denaturation (biochemistry) (58%)58% related to the paper, Denaturation midpoint (57%)57% related to the paper, Globular protein (53%)53% related to the paper
938 Citations
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12. Is Critical Reviews in Biochemistry and Molecular Biology'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 Critical Reviews in Biochemistry and Molecular Biology?

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 Critical Reviews in Biochemistry and Molecular Biology. 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 Critical Reviews in Biochemistry and Molecular Biology?

The 5 most common citation types in order of usage for Critical Reviews in Biochemistry and Molecular Biology are:.

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

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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 Critical Reviews in Biochemistry and Molecular Biology Endnote style according to Elsevier guidelines.

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