Gérard Pierron
Impact in
- Physiology top 0.2%
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
Papers in
- Virology 5
- Cell Biology 17
- Endoplasmic Reticulum Stress and Disease 8
- Co-authors
- Sylvie SouquèreGuido KroemerFrancis HarperPatrice CodognoDidier MétivierNoëlia CasaresThiérry HeidmannRosa A. González‐Polo
- Journals
- Experimental Cell Research (7 papers)Nucleic Acids Research (6 papers)Proceedings of the National Academy of Sciences (6 papers)The EMBO Journal (5 papers)Cell Cycle (5 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Gérard Pierron
99 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Physiology 673
- Epidemiology 3.8k
- Immunology 2.0k
- Molecular Biology 6.4k
- Cancer Research 1.4k
Countries citing papers authored by Gérard Pierron
This map shows the geographic impact of Gérard Pierron's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gérard Pierron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Pierron more than expected).
Fields of papers citing papers by Gérard Pierron
This network shows the impact of papers produced by Gérard Pierron. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gérard Pierron. The network helps show where Gérard Pierron may publish in the future.
Co-authors
The 25 scholars most cited alongside Gérard Pierron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 2 | |
| 5 | 2019 | 24 | |
| 6 | Functional Domains of NEAT1 Architectural lncRNA Induce Paraspeckle Assembly through Phase Separation Hit paper breakdown → | 2018 | 422 |
| 7 | 2017 | 2 | |
| 8 | 2016 | 8 | |
| 9 | 2015 | 108 | |
| 10 | 2014 | 46 | |
| 11 | 2014 | 44 | |
| 12 | 2014 | 19 | |
| 13 | 2010 | 177 | |
| 14 | 2010 | 2 | |
| 15 | 2009 | 260 | |
| 16 | 2009 | 67 | |
| 17 | 2007 | 109 | |
| 18 | 2007 | 2 | |
| 19 | 1999 | 12 | |
| 20 | 1993 | 6 |
About Gérard Pierron
Gérard Pierron is a scholar working on Virology, Cell Biology, Molecular Biology, Biomaterials and Cancer Research, having authored 100 papers that have together received 10.9k indexed citations. Recurring topics across this work include Slime Mold and Myxomycetes Research (21 papers), Autophagy in Disease and Therapy (21 papers), RNA Research and Splicing (13 papers), Diatoms and Algae Research (12 papers), RNA modifications and cancer (11 papers), Chromosomal and Genetic Variations (10 papers), Cancer-related molecular mechanisms research (8 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). The work is most often cited by research in Physiology (673 citations), Epidemiology (3.8k citations), Immunology (2.0k citations), Molecular Biology (6.4k citations) and Cancer Research (1.4k citations). Gérard Pierron has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Sylvie Souquère, Guido Kroemer, Francis Harper, Patrice Codogno, Didier Métivier, Noëlia Casares, Thiérry Heidmann, Rosa A. González‐Polo, Nathanaël Larochette and Patricia Boya. Their work appears in journals such as Experimental Cell Research, Nucleic Acids Research, Proceedings of the National Academy of Sciences, The EMBO Journal and Cell Cycle.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.