Peter J. Coopman

2.7k total citations
51 papers, 2.3k citations indexed

About

Peter J. Coopman is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Peter J. Coopman has authored 51 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 13 papers in Oncology and 12 papers in Cell Biology. Recurrent topics in Peter J. Coopman's work include Cell Adhesion Molecules Research (12 papers), Protease and Inhibitor Mechanisms (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Peter J. Coopman is often cited by papers focused on Cell Adhesion Molecules Research (12 papers), Protease and Inhibitor Mechanisms (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Peter J. Coopman collaborates with scholars based in France, United States and Belgium. Peter J. Coopman's co-authors include Susette C. Mueller, Alexandre Djiane, Emma T. Bowden, Dianne M. Thomas, Erik W. Thompson, Paul Mangeat, Ana Olivera, Sarah Spiegel, Timothy Hla and Ramil Menzeleev and has published in prestigious journals such as Nature, The Journal of Cell Biology and Cancer Research.

In The Last Decade

Peter J. Coopman

50 papers receiving 2.3k citations

Peers

Peter J. Coopman

ONCOL

IMMUN

Kathrin H. Kirsch United States

Steve Silletti United States

Elisabeth Génot France

Julie L. Wilsbacher United States

Stéphane Dedieu France

Christian R. Lombardo United States

Emmanuelle Liaudet‐Coopman France

David R. Croucher Australia

Barbara Marte United States

Konstantin Stoletov United States

Kathrin H. Kirsch United States

Peter J. Coopman

1.5k ×1.1

326 ×0.5

364 ×0.8

ONCOL

356 ×0.8

410 ×1.1

IMMUN

Citations per year, relative to Peter J. Coopman Peter J. Coopman (= 1×) peers Kathrin H. Kirsch

Countries citing papers authored by Peter J. Coopman

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Coopman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Coopman. 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 Peter J. Coopman. The network helps show where Peter J. Coopman may publish in the future.

Co-authorship network of co-authors of Peter J. Coopman

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Coopman. A scholar is included among the top collaborators of Peter J. Coopman 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 Peter J. Coopman. Peter J. Coopman 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

Coopman, Peter J., et al.. (2026). Syk activation during FcγR-mediated phagocytosis involves Syk palmitoylation and desulfenylation. Life Science Alliance. 9(4). e202503500–e202503500.

Vendrell, Julie A., Jérôme Solassol, Baptiste Louveau, et al.. (2025). MelanoDB: A dataset of clinical and molecular features of patients with advanced melanoma treated with MAPK inhibitors. Scientific Data. 12(1). 1144–1144. 2 indexed citations

D’Hondt, Véronique, Jérôme Solassol, O. Dereure, et al.. (2025). Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning. npj Precision Oncology. 9(1). 231–231. 1 indexed citations

Puech, Carole, Evelyne Lopez‐Crapez, Marion Peter, et al.. (2023). PTPN13 Participates in the Regulation of Epithelial–Mesenchymal Transition and Platinum Sensitivity in High-Grade Serous Ovarian Carcinoma Cells. International Journal of Molecular Sciences. 24(20). 15413–15413. 2 indexed citations

Mangé, Alain, et al.. (2022). La résistance aux inhibiteurs de BRAF. médecine/sciences. 38(6-7). 570–578. 1 indexed citations

Naldi, Aurélien, Gilles Freiss, Marcel Deckert, et al.. (2021). Comparison of SYK Signaling Networks Reveals the Potential Molecular Determinants of Its Tumor-Promoting and Suppressing Functions. Biomolecules. 11(2). 308–308. 3 indexed citations

Coopman, Peter J., et al.. (2020). Dual Role of the PTPN13 Tyrosine Phosphatase in Cancer. Biomolecules. 10(12). 1659–1659. 25 indexed citations

Wickström, Malin, Peter J. Coopman, Per Kogner, et al.. (2019). SYK Inhibition Potentiates the Effect of Chemotherapeutic Drugs on Neuroblastoma Cells In Vitro. Cancers. 11(2). 202–202. 7 indexed citations

Larive, Romain M., Anne Morel, Serge Urbach, et al.. (2019). The Syk Kinase Promotes Mammary Epithelial Integrity and Inhibits Breast Cancer Invasion by Stabilizing the E-Cadherin/Catenin Complex. Cancers. 11(12). 1974–1974. 16 indexed citations

10.

Pichard, Alexandre, S Marcatili, Julie Constanzo, et al.. (2019). The therapeutic effectiveness of 177Lu-lilotomab in B-cell non-Hodgkin lymphoma involves modulation of G2/M cell cycle arrest. Leukemia. 34(5). 1315–1328. 14 indexed citations

11.

Naldi, Aurélien, Romain M. Larive, Urszula Czerwińska, et al.. (2017). Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells. PLoS Computational Biology. 13(3). e1005432–e1005432. 13 indexed citations

12.

Vendrell, Julie A., et al.. (2017). Circulating Cell Free Tumor DNA Detection as a Routine Tool forLung Cancer Patient Management. International Journal of Molecular Sciences. 18(2). 264–264. 77 indexed citations

13.

Coopman, Peter J. & Alexandre Djiane. (2016). Adherens Junction and E-Cadherin complex regulation by epithelial polarity. Cellular and Molecular Life Sciences. 73(18). 3535–3553. 127 indexed citations

14.

Montcourrier, Philippe, et al.. (2005). The Syk Tyrosine Kinase Localizes to the Centrosomes and Negatively Affects Mitotic Progression. Cancer Research. 65(23). 10872–10880. 55 indexed citations

15.

Coopman, Peter J., Myoung‐Sool Do, Erik W. Thompson, & Susette C. Mueller. (1998). Phagocytosis of cross-linked gelatin matrix by human breast carcinoma cells correlates with their invasive capacity. QUT ePrints (Queensland University of Technology). 61 indexed citations

16.

Coopman, Peter J., Dianne M. Thomas, Kurt R. Gehlsen, & Susette C. Mueller. (1996). Integrin alpha 3 beta 1 participates in the phagocytosis of extracellular matrix molecules by human breast cancer cells.. Molecular Biology of the Cell. 7(11). 1789–1804. 76 indexed citations

17.

Coopman, Peter J., Marcel Garcia, Nils Brünner, et al.. (1994). Anti‐proliferative and anti‐estrogenic effects of ICI 164,384 and ICI 182,780 in 4‐OH‐tamoxifen‐resistant human breast‐cancer cells. International Journal of Cancer. 56(2). 295–300. 59 indexed citations

18.

Coopman, Peter J., Bruno Verhasselt, Marc Bracke, et al.. (1991). Arrest of MCF-7 cell migration by lamininin vitro: possible mechanisms. Clinical & Experimental Metastasis. 9(5). 469–484. 4 indexed citations

19.

Bracke, Marc, Vincent Castronovo, Georges De Bruyne, et al.. (1988). Interactions of Invasive Cells with Native and Modified Extracellular Matrix In Vitro. Advances in experimental medicine and biology. 233. 171–178. 4 indexed citations

20.

Bracke, Marc, Vincent Castronovo, Peter J. Coopman, et al.. (1987). The anti-invasive flavonoid (+)-catechin binds to laminin and abrogates the effect of laminin on cell morphology and adhesion. Experimental Cell Research. 173(1). 193–205. 22 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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