Jean‐Pascal Capp
Impact in
- Aging top 10%
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
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- Cancer Genomics and Diagnostics 11
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- Mathematical Biology Tumor Growth 7
- Co-authors
- Frédéric Thomas A (17 shared papers)Jean François (10 shared papers)Beáta Újvári (13 shared papers)Régis Bataille (4 shared papers)Aurora M. Nedelcu (8 shared papers)Yvan Canitrot (4 shared papers)François Boudsocq (4 shared papers)Christophe Cazaux (4 shared papers)
- Journals
- BioEssays (8 papers)Evolutionary Applications (4 papers)Cancers (3 papers)Evolution Medicine and Public Health (3 papers)Nucleic Acids Research (2 papers)
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Jean‐Pascal Capp
50 papers receiving 891 citations
Peers
Comparison fields: 5 of 90
- Aging 22
- Modeling and Simulation 66
- Cancer Research 123
- Oncology 202
- Molecular Biology 409
Countries citing papers authored by Jean‐Pascal Capp
This map shows the geographic impact of Jean‐Pascal Capp'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‐Pascal Capp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pascal Capp more than expected).
Fields of papers citing papers by Jean‐Pascal Capp
This network shows the impact of papers produced by Jean‐Pascal Capp. 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‐Pascal Capp. The network helps show where Jean‐Pascal Capp may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean‐Pascal Capp, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 101 | |
| 2 | 2006 | 78 | |
| 3 | 2020 | 70 | |
| 4 | 2005 | 59 | |
| 5 | 2021 | 54 | |
| 6 | 2005 | 51 | |
| 7 | 2007 | 46 | |
| 8 | 2015 | 31 | |
| 9 | 2021 | 31 | |
| 10 | 2017 | 25 | |
| 11 | 2021 | 25 | |
| 12 | 2016 | 20 | |
| 13 | 2012 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2009 | 17 | |
| 17 | 2021 | 17 | |
| 18 | 2023 | 17 | |
| 19 | 2024 | 17 | |
| 20 | 2020 | 15 |
About Jean‐Pascal Capp
Jean‐Pascal Capp is a scholar working on Cancer Research, Modeling and Simulation, Oncology, Genetics and Molecular Biology, having authored 50 papers that have together received 911 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (12 papers), Evolution and Genetic Dynamics (12 papers), Gene Regulatory Network Analysis (12 papers), Cancer Genomics and Diagnostics (11 papers), Mathematical Biology Tumor Growth (7 papers), DNA Repair Mechanisms (6 papers), Fungal and yeast genetics research (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Aging (22 citations), Modeling and Simulation (66 citations), Cancer Research (123 citations), Oncology (202 citations) and Molecular Biology (409 citations). Jean‐Pascal Capp has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Frédéric Thomas A, Jean François, Beáta Újvári, Régis Bataille, Aurora M. Nedelcu, Yvan Canitrot, François Boudsocq, Christophe Cazaux, Jean‐Sébastien Hoffmann and Antoine Marie Dujon. Their work appears in journals such as BioEssays, Evolutionary Applications, Cancers, Evolution Medicine and Public Health and Nucleic Acids Research.
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.