Jérôme Reboul
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
-
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Marc VidalPhilippe VaglioGeorges LutfallaJonathan J. EwbankK. E. MogensenYuji KoharaGilles UzéLaurence Sabatier
- Journals
- Genome Research (3 papers)Nature Genetics (2 papers)Nature Methods (1 paper)Current Biology (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jérôme Reboul
25 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 104
- Aging 540
- Immunology 562
- Molecular Biology 1.8k
- Cell Biology 334
- Endocrine and Autonomic Systems 108
Countries citing papers authored by Jérôme Reboul
This map shows the geographic impact of Jérôme Reboul'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 Jérôme Reboul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Reboul more than expected).
Fields of papers citing papers by Jérôme Reboul
This network shows the impact of papers produced by Jérôme Reboul. 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 Jérôme Reboul. The network helps show where Jérôme Reboul may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Reboul, 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 | 2024 | 0 | |
| 2 | 2020 | 6 | |
| 3 | 2016 | 25 | |
| 4 | 2013 | 21 | |
| 5 | 2013 | 49 | |
| 6 | 2011 | 43 | |
| 7 | 2010 | 34 | |
| 8 | 2005 | 17 | |
| 9 | 2004 | 81 | |
| 10 | 2004 | 388 | |
| 11 | 2003 | 414 | |
| 12 | 2002 | 229 | |
| 13 | 2002 | 134 | |
| 14 | Combined functional genomic maps of the C-elegans DNA damage response | 2002 | 9 |
| 15 | 2001 | 134 | |
| 16 | 2001 | 350 | |
| 17 | 2001 | 141 | |
| 18 | 2000 | 4 | |
| 19 | 1999 | 76 | |
| 20 | 1999 | 213 |
About Jérôme Reboul
Jérôme Reboul is a scholar working on Aging, Cell Biology, Endocrine and Autonomic Systems, Immunology and Molecular Biology, having authored 28 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), Immune Response and Inflammation (3 papers), Bioinformatics and Genomic Networks (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Genomics and Phylogenetic Studies (2 papers), GABA and Rice Research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (540 citations), Immunology (562 citations), Molecular Biology (1.8k citations), Cell Biology (334 citations) and Endocrine and Autonomic Systems (108 citations). Jérôme Reboul has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Marc Vidal, Philippe Vaglio, Georges Lutfalla, Jonathan J. Ewbank, K. E. Mogensen, Yuji Kohara, Gilles Uzé, Laurence Sabatier, Nathalie Pujol and Jean‐François Guichou. Their work appears in journals such as Genome Research, Nature Genetics, Nature Methods, Current Biology and Molecular & Cellular Proteomics.
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.