J. Pâris

52 papers receiving 768 citations

Peers

J. Pâris
Comparison fields: 5 of 103
  • Equine 39
  • Genetics 343
  • Biological Psychiatry 27
  • Endocrinology, Diabetes and Metabolism 150
  • Toxicology 29
Replace Y. Sugita with:
Y. Sugita Japan
George E. Chapman United Kingdom
Koji Ono Japan
Akiko Fukushima Japan
Masaki Ishihara Japan
Hong Deng China
Vladislav A. Litosh United States
Takanobu Sato Japan
Joachim Biwersi United States
Yoshiyuki Suzuki Japan
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Countries citing papers authored by J. Pâris

Since Specialization
Citations

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

Fields of papers citing papers by J. Pâris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199577
2 199865
3 201456
4 197553
5 199446
6 201246
7 199645
8 199043
9 198742
10 199529
11 197729
12
Antiandrogenic properties of nomegestrol acetate.
199528
13
The pharmacological profile of TX 066 (17 alpha-acetoxy-6-methyl-19-nor-4,6-pregna-diene-3,20-dione), a new oral progestative.
198326
14 198624
15 198924
16 200319
17
Interaction of new 19 nor progesterone derivatives with progestagen, mineralocorticoid and glucocorticoid cytosolic receptors.
198718
18 199717
19 200312
20 199512

About J. Pâris

J. Pâris is a scholar working on Genetics, Molecular Biology, Organic Chemistry, Endocrinology, Diabetes and Metabolism and Materials Chemistry, having authored 55 papers that have together received 868 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (19 papers), Parasitic infections in humans and animals (5 papers), Parasitic Infections and Diagnostics (4 papers), Bioactive Compounds and Antitumor Agents (4 papers), Steroid Chemistry and Biochemistry (4 papers), Chemical Synthesis and Analysis (4 papers), Hormonal and reproductive studies (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Equine (39 citations), Genetics (343 citations), Biological Psychiatry (27 citations), Endocrinology, Diabetes and Metabolism (150 citations) and Toxicology (29 citations). J. Pâris has collaborated with scholars based in France, Monaco and Belgium. Frequent co-authors include J. Botella, Gérard S. Chetrite, Jörge R. Pasqualini, Rémi Delansorne, A. Rousset, Régine Sitruk‐Ware, B. Lahlou, P. Mollard, A. Collomb and F. Chassagneux. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Journal of Pharmacology and Experimental Therapeutics, Canadian Journal of Chemistry, Veterinary Record and Biochemical Pharmacology.

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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