Mario Vaillancourt
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Pathology and Forensic Medicine top 10%
- Psychiatry and Mental health top 10%
- Reproductive Medicine top 10%
- Co-authors
- Fernand LabrieCéline MartelDavid F. ArcherMarlene MontesinoLyne LavoieJohn BalserÉrick MoyneurIsabelle Côté
- Topics
- Menopause: Health Impacts and Treatments (11 papers)Estrogen and related hormone effects (7 papers)Phytoestrogen effects and research (5 papers)
- Journals
- Current Pharmaceutical DesignThe Journal of Steroid Biochemistry and Molecular BiologyThe Journal of Sexual Medicine
- Partner nations
- United StatesCanada
In The Last Decade
Mario Vaillancourt
13 papers receiving 470 citations
Peers
Comparison fields: 5 of 49
- Endocrinology, Diabetes and Metabolism 405
- Genetics 224
- Pathology and Forensic Medicine 138
- Psychiatry and Mental health 130
- Reproductive Medicine 92
Countries citing papers authored by Mario Vaillancourt
This map shows the geographic impact of Mario Vaillancourt'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 Mario Vaillancourt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Vaillancourt more than expected).
Fields of papers citing papers by Mario Vaillancourt
This network shows the impact of papers produced by Mario Vaillancourt. 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 Mario Vaillancourt. The network helps show where Mario Vaillancourt may publish in the future.
Co-authorship network of co-authors of Mario Vaillancourt
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Vaillancourt. A scholar is included among the top collaborators of Mario Vaillancourt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Vaillancourt. Mario Vaillancourt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 20 | |
| 3 | 32 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 168 | |
| 7 | 51 | |
| 8 | 18 | |
| 9 | 34 | |
| 10 | 69 | |
| 11 | 7 | |
| 12 | 24 | |
| 13 | 11 |
About Mario Vaillancourt
Mario Vaillancourt is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Genetics, having authored 13 papers that have together received 507 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (11 papers), Estrogen and related hormone effects (7 papers) and Phytoestrogen effects and research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (405 citations), Reproductive Medicine (92 citations) and Psychiatry and Mental health (130 citations). Mario Vaillancourt has collaborated with scholars based in United States and Canada. Frequent co-authors include Fernand Labrie, Céline Martel, David F. Archer, Marlene Montesino, Lyne Lavoie, John Balser, Érick Moyneur, Isabelle Côté, David Portman and William Koltun. Their work appears in journals such as Current Pharmaceutical Design, The Journal of Steroid Biochemistry and Molecular Biology and The Journal of Sexual 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.