Jean-Claude Philippe

467 citations
12 papers · 412 indexed · h-index 9
Topics
Estrogen and related hormone effects (8 papers)Steroid Chemistry and Biochemistry (4 papers)Effects and risks of endocrine disrupting chemicals (2 papers)

In The Last Decade

Jean-Claude Philippe

12 papers receiving 383 citations

Peers

Jean-Claude Philippe
Comparison fields: 5 of 63
  • Genetics 328
  • Molecular Biology 152
  • Oncology 112
  • Endocrinology, Diabetes and Metabolism 103
  • Cancer Research 59
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Countries citing papers authored by Jean-Claude Philippe

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Claude Philippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 11
2
Control of sulfatase activity by nomegestrol acetate in normal and cancerous human breast tissues.
18
3
Dydrogesterone (Duphaston) and its 20-dihydro-derivative as selective estrogen enzyme modulators in human breast cancer cell lines. Effect on sulfatase and on 17beta-hydroxysteroid dehydrogenase (17beta-HSD) activity.
18
4
Effect of nomegestrol acetate on human estrogen sulfotransferase activity in the hormone-dependent MCF-7 and T-47D breast cancer cell lines.
16
5 15
6 238
7 17
8
Effect of Org OD14 (LIVIAL) and its metabolites on human estrogen sulphotransferase activity in the hormone-dependent MCF-7 and T-47D, and the hormone-independent MDA-MB-231, breast cancer cell lines.
55
9 10
10 6
11 5
12 3

About Jean-Claude Philippe

Jean-Claude Philippe is a scholar working on Genetics, Toxicology and Pharmacology, having authored 12 papers that have together received 412 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Steroid Chemistry and Biochemistry (4 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Genetics (328 citations), Endocrinology, Diabetes and Metabolism (103 citations) and Reproductive Medicine (38 citations). Jean-Claude Philippe has collaborated with scholars based in France, Spain and Central African Republic. Frequent co-authors include Jörge R. Pasqualini, Gérard S. Chetrite, J Cortés-Prieto, F Wright, H.J. Kloosterboer, Hubert Thole, Bertrand Picard, Patrick Caubel, Andrew J. Friedman and Ph. Goullet. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Research in Microbiology and Biochemical Genetics.

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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