Jean‐Pascal Capp

1.2k total citations
47 papers, 766 citations indexed

About

Jean‐Pascal Capp is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jean‐Pascal Capp has authored 47 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 17 papers in Cancer Research and 10 papers in Genetics. Recurrent topics in Jean‐Pascal Capp's work include Gene Regulatory Network Analysis (13 papers), Cancer Genomics and Diagnostics (12 papers) and Fungal and yeast genetics research (9 papers). Jean‐Pascal Capp is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), Cancer Genomics and Diagnostics (12 papers) and Fungal and yeast genetics research (9 papers). Jean‐Pascal Capp collaborates with scholars based in France, Australia and United States. Jean‐Pascal Capp's co-authors include Frédéric Thomas, Jean François, Jian Liu, Beáta Újvári, Régis Bataille, Christophe Cazaux, Jean‐Sèbastien Hoffmann, Yvan Canitrot, François Boudsocq and Aurora M. Nedelcu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Jean‐Pascal Capp

47 papers receiving 753 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jean‐Pascal Capp France	16	531	212	195	118	54	47	766
Steven N. Steinway United States	12	459 0.9×	207 1.0×	104 0.5×	44 0.4×	30 0.6×	19	731
Michelle Moksa Canada	16	518 1.0×	166 0.8×	194 1.0×	83 0.7×	19 0.4×	35	734
Christopher D. McFarland United States	9	443 0.8×	143 0.7×	326 1.7×	211 1.8×	19 0.4×	14	693
Reinhard Stindl Austria	11	314 0.6×	149 0.7×	202 1.0×	128 1.1×	55 1.0×	16	629
Erin Pleasance Canada	14	646 1.2×	185 0.9×	355 1.8×	211 1.8×	103 1.9×	41	1.1k
Dávid Szüts Hungary	23	1.4k 2.6×	428 2.0×	515 2.6×	217 1.8×	102 1.9×	56	1.7k
Atish Mohanty United States	16	355 0.7×	218 1.0×	101 0.5×	38 0.3×	16 0.3×	43	661
Nancy George United Kingdom	7	483 0.9×	64 0.3×	91 0.5×	47 0.4×	32 0.6×	9	670
Eric Kowarz Germany	11	429 0.8×	81 0.4×	59 0.3×	71 0.6×	23 0.4×	24	621
Steven W. Bremer United States	16	823 1.5×	135 0.6×	539 2.8×	479 4.1×	163 3.0×	19	1.3k

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-authorship network of co-authors of Jean‐Pascal Capp

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pascal Capp. A scholar is included among the top collaborators of Jean‐Pascal Capp 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‐Pascal Capp. Jean‐Pascal Capp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Thomas, Frédéric, Jean‐Pascal Capp, Antoine M. Dujon, et al.. (2025). Leveraging selection for function in tumor evolution: System-level cancer therapies. Evolution Medicine and Public Health. 13(1). 248–268. 1 indexed citations

Dujon, Antoine M., Jean‐François Lemaître, Jean‐Pascal Capp, et al.. (2025). The Role of Selection for Function in Aging and Chronic Diseases: A Novel Evolutionary Perspective. Aging Cell. 25(1). e70207–e70207. 1 indexed citations

Dujon, Antoine M., Nynke Raven, Beáta Újvári, et al.. (2024). When Do Tumours Develop? Neoplastic Processes Across Different Timescales: Age, Season and Round the Circadian Clock. Evolutionary Applications. 17(10). e70024–e70024. 1 indexed citations

Capp, Jean‐Pascal, Francesco Catania, & Frédéric Thomas. (2024). From genetic mosaicism to tumorigenesis through indirect genetic effects. BioEssays. 46(7). e2300238–e2300238. 1 indexed citations

Meouche, Imane El, et al.. (2024). Drug tolerance and persistence in bacteria, fungi and cancer cells: Role of non-genetic heterogeneity. Translational Oncology. 49. 102069–102069. 9 indexed citations

François, Jean, et al.. (2023). Tuning the expression of the bacterial relBE toxin–antitoxin system inSaccharomyces cerevisiaeallows characterizing the subsequent growth inhibition. FEMS Yeast Research. 23. 2 indexed citations

Capp, Jean‐Pascal & Régis Bataille. (2023). The Ins and Outs of Endosteal Niche Disruption in the Bone Marrow: Relevance for Myeloma Oncogenesis. Biology. 12(7). 990–990. 3 indexed citations

Capp, Jean‐Pascal & Frédéric Thomas. (2022). From developmental to atavistic bet‐hedging: How cancer cells pervert the exploitation of random single‐cell phenotypic fluctuations. BioEssays. 44(9). e2200048–e2200048. 4 indexed citations

Capp, Jean‐Pascal, James DeGregori, Aurora M. Nedelcu, et al.. (2021). Group phenotypic composition in cancer. eLife. 10. 24 indexed citations

10.

Dujon, Antoine M., Jean‐Pascal Capp, Joel S. Brown, et al.. (2021). Is There One Key Step in the Metastatic Cascade?. Cancers. 13(15). 3693–3693. 27 indexed citations

11.

Capp, Jean‐Pascal. (2021). Interplay between genetic, epigenetic, and gene expression variability: Considering complexity in evolvability. Evolutionary Applications. 14(4). 893–901. 16 indexed citations

12.

Capp, Jean‐Pascal, Aurora M. Nedelcu, Antoine M. Dujon, et al.. (2021). Does Cancer Biology Rely on Parrondo’s Principles?. Cancers. 13(9). 2197–2197. 9 indexed citations

13.

Capp, Jean‐Pascal & Frédéric Thomas. (2020). Tissue‐disruption‐induced cellular stochasticity and epigenetic drift: Common origins of aging and cancer?. BioEssays. 43(1). e2000140–e2000140. 11 indexed citations

14.

Capp, Jean‐Pascal & Frédéric Thomas. (2020). A Similar Speciation Process Relying on Cellular Stochasticity in Microbial and Cancer Cell Populations. iScience. 23(9). 101531–101531. 13 indexed citations

15.

Liu, Jian, et al.. (2020). SIR2Expression Noise Can Generate Heterogeneity in Viability but Does Not Affect Cell-to-Cell Epigenetic Silencing of SubtelomericURA3in Yeast. G3 Genes Genomes Genetics. 10(9). 3435–3443. 3 indexed citations

16.

Capp, Jean‐Pascal. (2019). Cancer Stem Cells: From Historical Roots to a New Perspective. Journal of Oncology. 2019. 1–10. 89 indexed citations

17.

Liu, Jian, Jean François, & Jean‐Pascal Capp. (2019). Gene Expression Noise Produces Cell-to-Cell Heterogeneity in Eukaryotic Homologous Recombination Rate. Frontiers in Genetics. 10. 475–475. 16 indexed citations

18.

Liu, Jian, et al.. (2018). A GRX1 Promoter Variant Confers Constitutive Noisy Bimodal Expression That Increases Oxidative Stress Resistance in Yeast. Frontiers in Microbiology. 9. 2158–2158. 4 indexed citations

19.

Terrados, Gloria, Jean‐Pascal Capp, Yvan Canitrot, et al.. (2009). Characterization of a Natural Mutator Variant of Human DNA Polymerase λ which Promotes Chromosomal Instability by Compromising NHEJ. PLoS ONE. 4(10). e7290–e7290. 14 indexed citations

20.

Capp, Jean‐Pascal. (2005). Stochastic gene expression, disruption of tissue averaging effects and cancer as a disease of development. BioEssays. 27(12). 1277–1285. 54 indexed citations

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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