Jean‐Philippe Peyrat

5.6k citations
86 papers · 3.4k indexed · h-index 32

Jean‐Philippe Peyrat

83 papers receiving 3.3k citations

Peers

Jean‐Philippe Peyrat
Comparison fields: 5 of 119
  • Oncology 1.3k
  • Cancer Research 680
  • Endocrinology, Diabetes and Metabolism 503
  • Molecular Biology 1.8k
  • Genetics 644
Replace M. E. Harper with:
M. E. Harper United Kingdom
A Hittmair Austria
Bassem R. Haddad United States
Donald Ogilvie United Kingdom
Pernilla Wikström Sweden
Steven McKinney Canada
Ricardo M. Attar United States
Christopher S. Foster United Kingdom
Philippe Rochaix France
Jan Erik Varhaug Norway
Jean‐Philippe Peyrat relative to M. E. Harper United Kingdom M. E. Harper's profile →
Citations per field
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M. E. Harper · 1×
Citations per year

Countries citing papers authored by Jean‐Philippe Peyrat

Since Specialization
Citations

This map shows the geographic impact of Jean‐Philippe Peyrat'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 Peyrat 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 Peyrat more than expected).

Fields of papers citing papers by Jean‐Philippe Peyrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jean‐Philippe Peyrat, 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‐Philippe Peyrat Line = papers co-authored together Jean‐Philippe Peyrat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201426
2 20113
3 201119
4 200841
5 20086
6 200524
7 200436
8 200449
9 2001102
10 2000108
11 200017
12 2000145
13 199939
14 1998377
15
Quantification of c-erbB-2 gene expression in breast cancer by competitive RT-PCR.
199717
16
Germline BRCA1 mutations in patients from 36 families with breast and/or ovarian cancers in Northern France
19971
17 199541
18 199024
19 19903
20 198829

About Jean‐Philippe Peyrat

Jean‐Philippe Peyrat is a scholar working on Cancer Research, Oncology and Genetics, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Estrogen and related hormone effects (12 papers), HER2/EGFR in Cancer Research (11 papers), Cancer-related Molecular Pathways (9 papers), Glycosylation and Glycoproteins Research (8 papers), BRCA gene mutations in cancer (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Breast Cancer Treatment Studies (8 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (680 citations) and Endocrinology, Diabetes and Metabolism (503 citations). Jean‐Philippe Peyrat has collaborated with scholars based in France, Canada and Australia. Frequent co-authors include Françoise Révillion, Jacques Bonneterre, Louis Hornez, Mohamed Hebbar, Valérie Pawlowski, A Demaille, Jean Djiane, R. Beuscart, Hubert Hondermarck and M M Louchez. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology and Cancer Research.

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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