Jacques Simard

45.6k citations
296 papers · 14.0k · 1 hit paper · h-index 60

Impact in

Papers in

Jacques Simard

292 papers receiving 13.5k citations

Jacques Simard's Hit Papers

BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors 2019 · 403 citations
4030+2+4Years since publication100200300400

Peers

Jacques Simard
Comparison fields: 5 of 167
  • Endocrinology, Diabetes and Metabolism 5.3k
  • Genetics 5.9k
  • Reproductive Medicine 1.2k
  • Behavioral Neuroscience 443
  • Pharmacology 698
Replace Alain Bélanger with:
Alain Bélanger Canada
Claude Labrie Canada
Jean D. Wilson United States
Pentti K. Siiteri United States
Richard J. Auchus United States
Richard J. Santen United States
Walter L. Miller United States
E R Simpson United States
Evan R. Simpson United States
Eva Enmark Sweden
Jacques Simard relative to Alain Bélanger Canada Alain Bélanger's profile →
Citations per field
00.5×1.5×1.9×
Alain Bélanger · 1×
Citations per year

Countries citing papers authored by Jacques Simard

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Simard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 296 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005465
2 2003424
3 1997405
4
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
Hit paper breakdown →
2019403
5 2005367
6 1991295
7 2001293
8 1996269
9 1998267
10 1994263
11 1999257
12 1989249
13 2000234
14 1995232
15 1986221
16 2006206
17 1992204
18 1992170
19 1992164
20 1990163

About Jacques Simard

Jacques Simard is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology and Cell Biology, having authored 296 papers that have together received 14.0k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (76 papers), Hormonal Regulation and Hypertension (73 papers), Estrogen and related hormone effects (64 papers), Hormonal and reproductive studies (59 papers), Sexual Differentiation and Disorders (33 papers), Aldose Reductase and Taurine (26 papers), DNA Repair Mechanisms (20 papers) and Prostate Cancer Treatment and Research (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.3k citations), Genetics (5.9k citations), Reproductive Medicine (1.2k citations), Behavioral Neuroscience (443 citations) and Pharmacology (698 citations). Jacques Simard has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Fernand Labrie, Claude Labrie, Fernand Labrie, Sébastien Gingras, Alain Bélanger, Éric Rhéaume, Georges Pelletier, A. Bèlanger, Francine Durocher and Yvan de Launoit. Their work appears in journals such as Endocrinology, The Journal of Steroid Biochemistry and Molecular Biology, Molecular and Cellular Endocrinology, Molecular Endocrinology and Genetics in Medicine.

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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