Jean Secchi

402 citations
23 papers · 344 · h-index 10

Impact in

Papers in

Jean Secchi

23 papers receiving 295 citations

Peers

Jean Secchi
Comparison fields: 5 of 66
  • Reproductive Medicine 84
  • Immunology 90
  • Behavioral Neuroscience 15
  • Endocrinology, Diabetes and Metabolism 65
  • Genetics 100
Replace Inoru HASHIMOTO with:
Inoru HASHIMOTO Japan
Bernard F. Rice United States
M. Apostolakis Germany
J. W. Clemens United States
R. L. Elton United States
Bobbie Mayhew United States
H M Schulte Germany
G. F. Erickson United States
Mitzilee Dyson Australia
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Jean Secchi relative to Inoru HASHIMOTO Japan Inoru HASHIMOTO's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jean Secchi

Since Specialization
Citations

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

Fields of papers citing papers by Jean Secchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985118
2 197629
3 198129
4 198023
5
Combined effects of testosterone and estradiol on rat ventral prostate in organ culture.
197818
6 198616
7 198215
8 198413
9 200112
10 198511
11 19929
12
Effects of 4 weeks of treatment with trandolapril on renal hypertension and cardiac and vascular hypertrophy in the rat.
19949
13 19948
14 19946
15 19806
16
Sexualité et reproduction des mammifères domestiques et de laboratoire
19775
17 19865
18 19844
19 19882
20 19942

About Jean Secchi

Jean Secchi is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Dermatology and Immunology, having authored 23 papers that have together received 344 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Reproductive System and Pregnancy (4 papers), Hormonal Regulation and Hypertension (4 papers), Endometriosis Research and Treatment (3 papers), Acne and Rosacea Treatments and Effects (3 papers), Hormonal and reproductive studies (2 papers), Dermatology and Skin Diseases (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Reproductive Medicine (84 citations), Immunology (90 citations), Behavioral Neuroscience (15 citations), Endocrinology, Diabetes and Metabolism (65 citations) and Genetics (100 citations). Jean Secchi has collaborated with scholars based in France. Frequent co-authors include Dominique Lecaque, C. Tournemine, D. Philibert, R. Deraedt, M. Moguilewsky, Jean‐Pierre Raynaud, John Cavanagh, M.M. Bouton, Étienne-Émile Baulieu and P Röbel. Their work appears in journals such as Cell and Tissue Research, Journal of Cardiovascular Pharmacology, British Journal of Dermatology, The American Journal of Cardiology and Journal of Investigative Dermatology.

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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