Jean‐Claude Chambard
- Molecular Biology top 1%
- Oncology top 2%
- Cancer Research top 2%
- Genetics top 2%
- Immunology top 5%
- Co-authors
- Jacques PouysségurSébastien CagnolPhilippe LenormandGilles L’AllemainMichael KarinHsin‐Fang Yang‐YenTod SmealThomas J. Schmidt
- Topics
- Protein Kinase Regulation and GTPase Signaling (10 papers)Blood Coagulation and Thrombosis Mechanisms (7 papers)Adipose Tissue and Metabolism (7 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Jean‐Claude Chambard
52 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 4.6k
- Oncology 1.2k
- Cancer Research 1.0k
- Genetics 972
- Immunology 874
Countries citing papers authored by Jean‐Claude Chambard
This map shows the geographic impact of Jean‐Claude Chambard'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 Jean‐Claude Chambard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Claude Chambard more than expected).
Fields of papers citing papers by Jean‐Claude Chambard
This network shows the impact of papers produced by Jean‐Claude Chambard. 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 Jean‐Claude Chambard. The network helps show where Jean‐Claude Chambard may publish in the future.
Co-authorship network of co-authors of Jean‐Claude Chambard
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Claude Chambard. A scholar is included among the top collaborators of Jean‐Claude Chambard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Claude Chambard. Jean‐Claude Chambard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 82 | |
| 2 | 52 | |
| 3 | 157 | |
| 4 | 14 | |
| 5 | ERK and cell death: Mechanisms of ERK‐induced cell death – apoptosis, autophagy and senescencebreakdown → | 1080 |
| 6 | 78 | |
| 7 | 59 | |
| 8 | 6 | |
| 9 | アンカレッジと血清除去によって誘発されるアポトーシスを妨げるp42/p44 MAPキナーゼ経路 | 2 |
| 10 | 5 | |
| 11 | 87 | |
| 12 | 140 | |
| 13 | 44 | |
| 14 | 21 | |
| 15 | 32 | |
| 16 | 34 | |
| 17 | Transcriptional interference between c-Jun and the glucocorticoid receptor: Mutual inhibition of DNA binding due to direct protein-protein interactionbreakdown → | 1389 |
| 18 | 16 | |
| 19 | 23 | |
| 20 | 35 |
About Jean‐Claude Chambard
Jean‐Claude Chambard is a scholar working on Hematology, Cancer Research and Molecular Biology, having authored 52 papers that have together received 7.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Cancer Research (1.0k citations) and Immunology and Allergy (296 citations). Jean‐Claude Chambard has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Jacques Pouysségur, Sébastien Cagnol, Philippe Lenormand, Gilles L’Allemain, Michael Karin, Hsin‐Fang Yang‐Yen, Tod Smeal, Thomas J. Schmidt, Jacques Drouin and Gilles Pagès. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.