Jean‐Pascal Capp

1.2k citations
47 papers · 766 · h-index 16

Impact in

Papers in

    • Gene Regulatory Network Analysis 13
    • Fungal and yeast genetics research 9
    • Epigenetics and DNA Methylation 7
    • DNA Repair Mechanisms 6
    • Cancer Genomics and Diagnostics 12

Jean‐Pascal Capp

47 papers receiving 753 citations

Peers

Jean‐Pascal Capp
Comparison fields: 5 of 89
  • Aging 26
  • Cancer Research 195
  • Modeling and Simulation 49
  • Oncology 212
  • Molecular Biology 531
Replace Christopher D. McFarland with:
Christopher D. McFarland United States
Erin Pleasance Canada
Reinhard Stindl Austria
Dávid Szüts Hungary
Michelle Moksa Canada
Anita Göndör Sweden
L J Cisek United States
Nancy George United Kingdom
Alka A. Potdar United States
Dan Frumkin Israel
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Citations per field
00.5×2.6×
Christopher D. McFarland · 1×
Citations per year

Countries citing papers authored by Jean‐Pascal Capp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jean‐Pascal Capp Line = papers co-authored together Jean‐Pascal Capp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 200674
3 200554
4 202146
5
Modulation of cellular response to cisplatin by a novel inhibitor of DNA polymerase Β
200543
6 200543
7 200743
8 201529
9 202127
10 202124
11 201723
12 201620
13 202116
14 201916
15 201816
16 201216
17 200914
18 202013
19 202313
20 202012

About Jean‐Pascal Capp

Jean‐Pascal Capp is a scholar working on Molecular Biology, Cancer Research, Genetics, Modeling and Simulation and Oncology, having authored 47 papers that have together received 766 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Cancer Genomics and Diagnostics (12 papers), Fungal and yeast genetics research (9 papers), Mathematical Biology Tumor Growth (8 papers), Epigenetics and DNA Methylation (7 papers), Evolution and Genetic Dynamics (7 papers), DNA Repair Mechanisms (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Aging (26 citations), Cancer Research (195 citations), Modeling and Simulation (49 citations), Oncology (212 citations) and Molecular Biology (531 citations). Jean‐Pascal Capp has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Frédéric Thomas, Jean François, Jian Liu, Beáta Újvári, Régis Bataille, Christophe Cazaux, François Boudsocq, Yvan Canitrot, Jean‐Sèbastien Hoffmann and Aurora M. Nedelcu. Their work appears in journals such as BioEssays, Cancers, Evolution Medicine and Public Health, Evolutionary Applications and Frontiers in Cell and Developmental Biology.

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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