Jérôme Reboul

5.6k citations
28 papers · 2.7k indexed · h-index 18

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

    • Genetics, Aging, and Longevity in Model Organisms 10
    • Endoplasmic Reticulum Stress and Disease 2

Jérôme Reboul

25 papers receiving 2.6k citations

Peers

Jérôme Reboul
Comparison fields: 5 of 104
  • Aging 540
  • Immunology 562
  • Molecular Biology 1.8k
  • Cell Biology 334
  • Endocrine and Autonomic Systems 108
Replace Dona C. Love with:
Dona C. Love United States
Ian A. Hope United Kingdom
Jean Vandenhaute Belgium
David Michaelson United States
Keith P. Ray United Kingdom
Alejandro Chavez United States
Hiroko Kozuka‐Hata Japan
Masaaki Oyama Japan
Martha J. Larsen United States
Thomas Lo United States
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Citations per field
00.5×2.6×
Dona C. Love · 1×
Citations per year

Countries citing papers authored by Jérôme Reboul

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jérôme Reboul Line = papers co-authored together Jérôme Reboul links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20206
3 201625
4 201321
5 201349
6 201143
7 201034
8 200517
9 200481
10 2004388
11 2003414
12 2002229
13 2002134
14
Combined functional genomic maps of the C-elegans DNA damage response
20029
15 2001134
16 2001350
17 2001141
18 20004
19 199976
20 1999213

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.

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