Jacques Simard
Impact in
- Genetics top 0.05%
- BRCA gene mutations in cancer
- Genetic Associations and Epidemiology
- Estrogen and related hormone effects
- Reproductive Medicine top 0.2%
Papers in
- Genetics 362
- BRCA gene mutations in cancer 219
- Genetic Associations and Epidemiology 108
- Estrogen and related hormone effects 84
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- Adrenal Hormones and Disorders 46
- Co-authors
- Fernand Labrie (123 shared papers)Claude Labrie (52 shared papers)Georges Pelletier (34 shared papers)Fernand Labrie (15 shared papers)Sébastien Gingras (13 shared papers)Alain Bélanger (14 shared papers)Éric Rhéaume (33 shared papers)Francine Durocher (32 shared papers)
- Journals
- Endocrinology (19 papers)Nature Genetics (18 papers)Cancer Epidemiology Biomarkers & Prevention (17 papers)Human Molecular Genetics (17 papers)Breast Cancer Research (16 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Jacques Simard
494 papers receiving 34.3k citations
Jacques Simard's Hit Papers
Peers
Comparison fields: 5 of 210
- Genetics 18k
- Reproductive Medicine 2.1k
- Endocrinology, Diabetes and Metabolism 3k
- Cancer Research 2.3k
- Oncology 3k
Countries citing papers authored by Jacques Simard
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
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.
All Works
Showing the 20 most-cited of 503 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers Hit paper breakdown → | 2017 | 2149 |
| 2 | Association analysis identifies 65 new breast cancer risk loci Hit paper breakdown → | 2017 | 1040 |
| 3 | Large-scale genotyping identifies 41 new loci associated with breast cancer risk Hit paper breakdown → | 2013 | 913 |
| 4 | Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes Hit paper breakdown → | 2018 | 775 |
| 5 | The complete BRCA2 gene and mutations in chromosome 13q-linked kindreds Hit paper breakdown → | 1996 | 690 |
| 6 | RAD51B in Familial Breast Cancer Hit paper breakdown → | 2016 | 641 |
| 7 | MicroRNA Related Polymorphisms and Breast Cancer Risk Hit paper breakdown → | 2014 | 610 |
| 8 | Pathology of Breast and Ovarian Cancers among BRCA1 and BRCA2 Mutation Carriers: Results from the Consortium of Investigators of Modifiers of BRCA1 / 2 (CIMBA) Hit paper breakdown → | 2012 | 538 |
| 9 | 2005 | 519 | |
| 10 | BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors Hit paper breakdown → | 2019 | 515 |
| 11 | Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer Hit paper breakdown → | 2015 | 489 |
| 12 | Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer Hit paper breakdown → | 2013 | 468 |
| 13 | 2001 | 466 | |
| 14 | 2003 | 460 | |
| 15 | Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants Hit paper breakdown → | 2015 | 450 |
| 16 | 1997 | 430 | |
| 17 | Association of Type and Location ofBRCA1andBRCA2Mutations With Risk of Breast and Ovarian Cancer Hit paper breakdown → | 2015 | 406 |
| 18 | 2005 | 383 | |
| 19 | Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer Hit paper breakdown → | 2017 | 368 |
| 20 | 2013 | 349 |
About Jacques Simard
Jacques Simard is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 503 papers that have together received 35.6k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (219 papers), Genetic Associations and Epidemiology (108 papers), Estrogen and related hormone effects (84 papers), Sexual Differentiation and Disorders (47 papers), Adrenal Hormones and Disorders (46 papers), Steroid Chemistry and Biochemistry (33 papers), Prostate Cancer Treatment and Research (33 papers) and Global Cancer Incidence and Screening (18 papers). The work is most often cited by research in Genetics (18k citations), Reproductive Medicine (2.1k citations), Endocrinology, Diabetes and Metabolism (3k citations), Cancer Research (2.3k citations) and Oncology (3k citations). Jacques Simard has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Fernand Labrie, Claude Labrie, Georges Pelletier, Fernand Labrie, Sébastien Gingras, Alain Bélanger, Éric Rhéaume, Francine Durocher, A. Bèlanger and Yvan de Launoit. Their work appears in journals such as Endocrinology, Nature Genetics, Cancer Epidemiology Biomarkers & Prevention, Human Molecular Genetics and Breast Cancer Research.
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.