Fernand Labrie

36 papers receiving 1.2k citations

Peers

Fernand Labrie
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 706
  • Reproductive Medicine 173
  • Genetics 495
  • Behavioral Neuroscience 47
  • Pharmacology 68
Replace Anice E. Thigpen with:
Anice E. Thigpen United States
Gilles Leblanc Canada
Yves Lachance Canada
Fernand Labrie Canada
H.J. Kloosterboer Netherlands
Christa Hegele‐Hartung Germany
MARGARET A. HIRST United States
B.‐L. Nguyen France
Margaret Moore United States
William H. Pearlman United States
Fernand Labrie relative to Anice E. Thigpen United States Anice E. Thigpen's profile →
Citations per field
00.5×1.5×1.9×
Anice E. Thigpen · 1×
Citations per year

Countries citing papers authored by Fernand Labrie

Since Specialization
Citations

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

Fields of papers citing papers by Fernand Labrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988158
2 1992124
3 200190
4 199786
5 200680
6 199469
7
Molecular biology and genetics of the 3 beta-hydroxysteroid dehydrogenase/delta5-delta4 isomerase gene family.
199666
8 199958
9 199051
10 198945
11 200142
12 199042
13 199641
14 199040
15 199837
16 199833
17 199531
18 198831
19 199523
20 200115

About Fernand Labrie

Fernand Labrie is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Genetics, Pulmonary and Respiratory Medicine and Cancer Research, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (12 papers), Estrogen and related hormone effects (11 papers), Prostate Cancer Treatment and Research (10 papers), Hormonal Regulation and Hypertension (6 papers), Aldose Reductase and Taurine (6 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Steroid Chemistry and Biochemistry (4 papers) and Sexual Differentiation and Disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (706 citations), Reproductive Medicine (173 citations), Genetics (495 citations), Behavioral Neuroscience (47 citations) and Pharmacology (68 citations). Fernand Labrie has collaborated with scholars based in Canada, Netherlands and Sweden. Frequent co-authors include Alain Bélanger, Claude Labrie, Jacques Simard, Georges Pelletier, ALAIN BÉLANGER, Georges Pelletier, Isabelle Dufort, Éric Rhéaume, Éric Dupont and Xun Yan. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, The Journal of Clinical Endocrinology & Metabolism, Breast Cancer Research and Treatment, Endocrinology and Molecular and Cellular Endocrinology.

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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