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Gian Maria Fimia

Researcher at Sapienza University of Rome

Publications -  179
Citations -  34222

Gian Maria Fimia is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Autophagy & Programmed cell death. The author has an hindex of 61, co-authored 171 publications receiving 26419 citations. Previous affiliations of Gian Maria Fimia include French Institute of Health and Medical Research & National Institutes of Health.

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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Daniel J. Klionsky, +2522 more
- 21 Jan 2016 - 
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Journal ArticleDOI

Guidelines for the use and interpretation of assays for monitoring autophagy

Daniel J. Klionsky, +1287 more
- 01 Apr 2012 - 
TL;DR: These guidelines are presented for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Journal ArticleDOI

Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018.

Lorenzo Galluzzi, +186 more
TL;DR: The Nomenclature Committee on Cell Death (NCCD) has formulated guidelines for the definition and interpretation of cell death from morphological, biochemical, and functional perspectives.
Journal Article

Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018

Lorenzo Galluzzi, +168 more
- 01 Jan 2018 - 
TL;DR: An updated classification of cell death subroutines focusing on mechanistic and essential aspects of the process is proposed, and the utility of neologisms that refer to highly specialized instances of these processes are discussed.