Jean-Philippe Coppé

1.6k total citations
7 papers, 1.1k citations indexed

About

Jean-Philippe Coppé is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Jean-Philippe Coppé has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cancer Research. Recurrent topics in Jean-Philippe Coppé's work include Telomeres, Telomerase, and Senescence (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Cancer-related gene regulation (2 papers). Jean-Philippe Coppé is often cited by papers focused on Telomeres, Telomerase, and Senescence (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Cancer-related gene regulation (2 papers). Jean-Philippe Coppé collaborates with scholars based in United States, Canada and Austria. Jean-Philippe Coppé's co-authors include Pierre-Yves Desprez, Françis Rodier, Judith Campisi, Christian Beauséjour, Denise P. Muñoz, Koei Chin, Simona Parrinello, Christopher K. Patil, John Hodgson and Ana Krtolica and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Cell Science.

In The Last Decade

Jean-Philippe Coppé

6 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean-Philippe Coppé United States 6 582 559 237 189 155 7 1.1k
Nicolas Malaquin Canada 16 545 0.9× 538 1.0× 247 1.0× 188 1.0× 112 0.7× 20 1.0k
Matteo Pecoraro Switzerland 8 642 1.1× 627 1.1× 267 1.1× 182 1.0× 166 1.1× 15 1.2k
Peter Krasnov United States 13 452 0.8× 428 0.8× 334 1.4× 181 1.0× 250 1.6× 14 1.2k
Jacob A. Boyer United States 7 440 0.8× 388 0.7× 303 1.3× 209 1.1× 86 0.6× 9 1.1k
Shauna L Houlihan United States 5 392 0.7× 330 0.6× 248 1.0× 189 1.0× 97 0.6× 6 910
Pierre-Yves Desprez United States 10 553 1.0× 312 0.6× 158 0.7× 250 1.3× 164 1.1× 12 932
Tristan V. de Jong Netherlands 9 561 1.0× 415 0.7× 183 0.8× 111 0.6× 180 1.2× 10 1.0k
Valeria Di Giacomo Italy 4 470 0.8× 613 1.1× 226 1.0× 63 0.3× 115 0.7× 7 903
Cristina Pantoja Spain 11 1.0k 1.8× 477 0.9× 154 0.6× 293 1.6× 156 1.0× 18 1.4k
Douglas V. Faget Brazil 10 567 1.0× 329 0.6× 290 1.2× 256 1.4× 144 0.9× 11 1.0k

Countries citing papers authored by Jean-Philippe Coppé

Since Specialization
Citations

This map shows the geographic impact of Jean-Philippe Coppé'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-Philippe Coppé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Philippe Coppé more than expected).

Fields of papers citing papers by Jean-Philippe Coppé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Philippe Coppé. 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-Philippe Coppé. The network helps show where Jean-Philippe Coppé may publish in the future.

Co-authorship network of co-authors of Jean-Philippe Coppé

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

All Works

7 of 7 papers shown
1.
Chen, Li-Nan, Christopher S. Chen, Wilson Ho, et al.. (2025). Suppression of NRAS-mutant melanoma growth with NRAS-targeting Antisense Oligonucleotide treatment reveals therapeutically relevant kinase co-dependencies. Communications Medicine. 5(1). 216–216.
2.
Muñoz, Denise P., Steven M. Yannone, Anneleen Daemen, et al.. (2019). Targetable mechanisms driving immunoevasion of persistent senescent cells link chemotherapy-resistant cancer to aging. JCI Insight. 4(14). 118 indexed citations
3.
Coppé, Jean-Philippe, Zhida Xu, Yi Chen, & G. Logan Liu. (2011). Metallic nanocone array photonic substrate for high-uniformity surface deposition and optical detection of small molecules. Nanotechnology. 22(24). 245710–245710. 16 indexed citations
4.
Rodier, Françis, Denise P. Muñoz, Oanh Lê, et al.. (2010). DNA-SCARS: distinct nuclear structures that sustain damage-induced senescence growth arrest and inflammatory cytokine secretion. Journal of Cell Science. 124(1). 68–81. 405 indexed citations
5.
Coppé, Jean-Philippe, Christopher K. Patil, Françis Rodier, et al.. (2010). A Human-Like Senescence-Associated Secretory Phenotype Is Conserved in Mouse Cells Dependent on Physiological Oxygen. PLoS ONE. 5(2). e9188–e9188. 345 indexed citations
6.
Desprez, Pierre-Yves, Tomoki Sumida, & Jean-Philippe Coppé. (2003). Helix-Loop-Helix Proteins in Mammary Gland Development and Breast Cancer. Journal of Mammary Gland Biology and Neoplasia. 8(2). 225–239. 55 indexed citations
7.
Fong, Sylvia, Yoko Itahana, Tomoki Sumida, et al.. (2003). Id-1 as a molecular target in therapy for breast cancer cell invasion and metastasis. Proceedings of the National Academy of Sciences. 100(23). 13543–13548. 174 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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