Claude Gérard
Impact in
-
- Circadian rhythm and melatonin
- Physiology top 2%
- Adenosine and Purinergic Signaling
Papers in
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- Gene Regulatory Network Analysis 12
- RNA Research and Splicing 3
- Protein Structure and Dynamics 3
- Cell Biology 12
- Microtubule and mitosis dynamics 12
- Co-authors
- Albert Goldbeter (14 shared papers)Gilbert Vassart (4 shared papers)Didier Gonze (8 shared papers)Marc Parmentier (3 shared papers)Catherine Mollereau (1 shared paper)J.E. Dumont (3 shared papers)Béla Novák (4 shared papers)Frédéric P. Lemaigre (8 shared papers)
- Journals
- PLoS Computational Biology (4 papers)Nucleic Acids Research (2 papers)Interface Focus (2 papers)The Journal of Immunology (2 papers)Hepatology (2 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Claude Gérard
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Endocrine and Autonomic Systems 191
- Physiology 116
- Modeling and Simulation 78
- Cell Biology 203
- Aging 21
Countries citing papers authored by Claude Gérard
This map shows the geographic impact of Claude Gérard'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 Claude Gérard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Gérard more than expected).
Fields of papers citing papers by Claude Gérard
This network shows the impact of papers produced by Claude Gérard. 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 Claude Gérard. The network helps show where Claude Gérard may publish in the future.
Co-authors
The 25 scholars most cited alongside Claude Gérard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 178 | |
| 2 | 1991 | 162 | |
| 3 | 2014 | 140 | |
| 4 | 1990 | 105 | |
| 5 | 2012 | 102 | |
| 6 | 2012 | 68 | |
| 7 | 1996 | 62 | |
| 8 | 2010 | 57 | |
| 9 | 2012 | 45 | |
| 10 | 1989 | 45 | |
| 11 | 2015 | 41 | |
| 12 | 1982 | 39 | |
| 13 | 2012 | 34 | |
| 14 | 2016 | 30 | |
| 15 | 2010 | 30 | |
| 16 | 2009 | 27 | |
| 17 | 2018 | 25 | |
| 18 | 2015 | 17 | |
| 19 | 2012 | 17 | |
| 20 | 2014 | 14 |
About Claude Gérard
Claude Gérard is a scholar working on Molecular Biology, Cell Biology, Plant Science, Oncology and Endocrine and Autonomic Systems, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (12 papers), Gene Regulatory Network Analysis (12 papers), Circadian rhythm and melatonin (5 papers), Plant Molecular Biology Research (4 papers), Light effects on plants (4 papers), RNA Research and Splicing (3 papers), Protein Structure and Dynamics (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (191 citations), Physiology (116 citations), Modeling and Simulation (78 citations), Cell Biology (203 citations) and Aging (21 citations). Claude Gérard has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Albert Goldbeter, Gilbert Vassart, Didier Gonze, Marc Parmentier, Catherine Mollereau, J.E. Dumont, Béla Novák, Frédéric P. Lemaigre, Anne Lefort and J.J. Vanderhaeghen. Their work appears in journals such as PLoS Computational Biology, Nucleic Acids Research, Interface Focus, The Journal of Immunology and Hepatology.
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.