Jean-Pierre Roperch

856 total citations
10 papers, 503 citations indexed

About

Jean-Pierre Roperch is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Jean-Pierre Roperch has authored 10 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Surgery. Recurrent topics in Jean-Pierre Roperch's work include Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Jean-Pierre Roperch is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Jean-Pierre Roperch collaborates with scholars based in France, Saudi Arabia and Israel. Jean-Pierre Roperch's co-authors include Sylvie Prieur, Adam Telerman, Robert Amson, David Israeli, Marie‐Claude Gendron, Moshe Oren, Mona Nemani, Marcel Tuynder, J Dausset and J Dausset and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Jean-Pierre Roperch

10 papers receiving 495 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-Pierre Roperch France 9 335 164 84 75 71 10 503
Wen‐Liang Kuo United States 11 344 1.0× 95 0.6× 98 1.2× 44 0.6× 72 1.0× 17 493
Silvia Siteni United States 9 270 0.8× 119 0.7× 73 0.9× 39 0.5× 61 0.9× 13 508
Simona Citro Italy 11 292 0.9× 83 0.5× 105 1.3× 30 0.4× 44 0.6× 21 438
Elke Hengstschläger-Ottnad Austria 13 246 0.7× 162 1.0× 67 0.8× 45 0.6× 61 0.9× 13 397
Xavier Gauthereau France 11 253 0.8× 140 0.9× 54 0.6× 26 0.3× 65 0.9× 16 469
Yufeng Yang China 8 166 0.5× 84 0.5× 169 2.0× 66 0.9× 54 0.8× 11 459
Amanda Mawson Australia 12 307 0.9× 183 1.1× 40 0.5× 78 1.0× 80 1.1× 15 516
Chantal Depatie Canada 10 443 1.3× 109 0.7× 48 0.6× 162 2.2× 80 1.1× 13 661
Cheng‐Da Hsu Taiwan 14 382 1.1× 101 0.6× 18 0.2× 92 1.2× 56 0.8× 25 517

Countries citing papers authored by Jean-Pierre Roperch

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Pierre Roperch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Pierre Roperch

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

All Works

10 of 10 papers shown
1.
2.
Peltier, Julien, Jean-Pierre Roperch, Stéphane Audebert, Jean‐Paul Borg, & Luc Camoin. (2018). Activation peptide of the coagulation factor XIII (AP-F13A1) as a new biomarker for the screening of colorectal cancer. Clinical Proteomics. 15(1). 15–15. 11 indexed citations
3.
Peltier, Julien, Jean-Pierre Roperch, Stéphane Audebert, Jean‐Paul Borg, & Luc Camoin. (2016). Quantitative proteomic analysis exploring progression of colorectal cancer: Modulation of the serpin family. Journal of Proteomics. 148. 139–148. 37 indexed citations
4.
5.
Roperch, Jean-Pierre, et al.. (2015). Improved amplification efficiency on stool samples by addition of spermidine and its use for non-invasive detection of colorectal cancer. BMC Biotechnology. 15(1). 41–41. 16 indexed citations
6.
Sobhani, Iradj, Roberto Incitti, & Jean-Pierre Roperch. (2013). A new noninvasive blood-test for the early detection of colorectal cancer.. Journal of Clinical Oncology. 31(4_suppl). 348–348. 1 indexed citations
7.
Amson, Robert, Jean‐Michel Lassalle, Hélène Halley, et al.. (2000). Behavioral alterations associated with apoptosis and down-regulation of presenilin 1 in the brains of p53-deficient mice. Proceedings of the National Academy of Sciences. 97(10). 5346–5350. 55 indexed citations
8.
Roperch, Jean-Pierre, Sylvie Prieur, David Israeli, et al.. (1999). SIAH-1 promotes apoptosis and tumor suppression through a network involving the regulation of protein folding, unfolding, and trafficking: Identification of common effectors with p53 and p21 Waf1. Proceedings of the National Academy of Sciences. 96(14). 8070–8073. 105 indexed citations
9.
Roperch, Jean-Pierre, Sylvie Prieur, Marcel Tuynder, et al.. (1998). Inhibition of presenilin 1 expression is promoted by p53 and p21WAF-1and results in apoptosis and tumor suppression. Nature Medicine. 4(7). 835–838. 151 indexed citations
10.
Linares‐Cruz, Gustavo, Heriberto Bruzzoni‐Giovanelli, Jean-Pierre Roperch, et al.. (1998). p21 WAF-1 reorganizes the nucleus in tumor suppression. Proceedings of the National Academy of Sciences. 95(3). 1131–1135. 49 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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