Thomas P. Bouchard

1.6k total citations
44 papers, 1.2k citations indexed

About

Thomas P. Bouchard is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Agronomy and Crop Science. According to data from OpenAlex, Thomas P. Bouchard has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Public Health, Environmental and Occupational Health, 24 papers in Reproductive Medicine and 9 papers in Agronomy and Crop Science. Recurrent topics in Thomas P. Bouchard's work include Ovarian function and disorders (21 papers), Reproductive Biology and Fertility (13 papers) and Reproductive Physiology in Livestock (9 papers). Thomas P. Bouchard is often cited by papers focused on Ovarian function and disorders (21 papers), Reproductive Biology and Fertility (13 papers) and Reproductive Physiology in Livestock (9 papers). Thomas P. Bouchard collaborates with scholars based in Canada, United States and France. Thomas P. Bouchard's co-authors include Richard Camicioli, Nikolai Malykhin, René Leiva, Derek Emery, Nicholas J. Coupland, Richard J. Fehring, Myrlene Gee, W. R. Wayne Martin, Nancy Fisher and Stephen J. Genuis and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Neurobiology of Aging.

In The Last Decade

Thomas P. Bouchard

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas P. Bouchard Canada 20 404 272 252 225 208 44 1.2k
Ellen Trautmann Germany 12 646 1.6× 36 0.1× 107 0.4× 300 1.3× 22 0.1× 16 1.1k
A Fabbrini Italy 16 371 0.9× 92 0.3× 44 0.2× 99 0.4× 41 0.2× 66 792
Stephan Behrens Germany 14 203 0.5× 52 0.2× 73 0.3× 83 0.4× 78 0.4× 37 1.2k
Matteo Cioni Italy 22 148 0.4× 45 0.2× 100 0.4× 115 0.5× 24 0.1× 57 1.2k
Anson Kairys United States 11 30 0.1× 140 0.5× 103 0.4× 278 1.2× 48 0.2× 15 857
Nirit Weiss United States 15 94 0.2× 26 0.1× 44 0.2× 357 1.6× 35 0.2× 25 681
F. Galeotti Italy 25 687 1.7× 19 0.1× 37 0.1× 282 1.3× 139 0.7× 40 1.8k
Min-Su Kim South Korea 20 354 0.9× 12 0.0× 36 0.1× 80 0.4× 107 0.5× 92 1.3k
Thomas F. Flood United States 13 131 0.3× 20 0.1× 39 0.2× 99 0.4× 174 0.8× 19 782

Countries citing papers authored by Thomas P. Bouchard

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Bouchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas P. Bouchard. 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 Thomas P. Bouchard. The network helps show where Thomas P. Bouchard may publish in the future.

Co-authorship network of co-authors of Thomas P. Bouchard

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Bouchard. A scholar is included among the top collaborators of Thomas P. Bouchard 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 Thomas P. Bouchard. Thomas P. Bouchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Écochard, René, et al.. (2024). The menstrual cycle is influenced by weekly and lunar rhythms. Fertility and Sterility. 121(4). 651–659. 2 indexed citations
2.
Écochard, René, et al.. (2024). Early menstrual cycle impacts of oestrogen and progesterone on the timing of the fertile window. Human Reproduction. 39(12). 2798–2805. 1 indexed citations
3.
Bouchard, Thomas P., et al.. (2023). Survey Analysis of Quantitative and Qualitative Menstrual Cycle Tracking Technologies. Medicina. 59(9). 1509–1509. 10 indexed citations
4.
Bouchard, Thomas P., et al.. (2023). Using Quantitative Hormone Monitoring to Identify the Postpartum Return of Fertility. Medicina. 59(11). 2008–2008. 1 indexed citations
5.
Bouchard, Thomas P., Paul J. Yong, & Patricia K. Doyle–Baker. (2023). Establishing a Gold Standard for Quantitative Menstrual Cycle Monitoring. Medicina. 59(9). 1513–1513. 6 indexed citations
6.
Bouchard, Thomas P., et al.. (2022). Distinct urinary progesterone metabolite profiles during the luteal phase. Hormone Molecular Biology and Clinical Investigation. 44(2). 137–144. 3 indexed citations
7.
Bouchard, Thomas P., et al.. (2022). Menstrual Cycle Parameters Are Not Significantly Different After COVID-19 Vaccination. Journal of Women s Health. 31(8). 1097–1102. 15 indexed citations
8.
Écochard, René, René Leiva, Thomas P. Bouchard, et al.. (2022). Descriptive analysis of the relationship between progesterone and basal body temperature across the menstrual cycle. Steroids. 178. 108964–108964. 7 indexed citations
9.
10.
Bouchard, Thomas P., Richard J. Fehring, & Mary Schneider. (2019). Pilot Evaluation of a New Urine Progesterone Test to Confirm Ovulation in Women Using a Fertility Monitor. Frontiers in Public Health. 7. 184–184. 17 indexed citations
11.
Bouchard, Thomas P., René Leiva, Cecilia Pyper, et al.. (2018). A Quadriparametric Model to Describe the Diversity of Waves Applied to Hormonal Data. Methods of Information in Medicine. 57(3). 101–110. 2 indexed citations
12.
Bouchard, Thomas P., Richard J. Fehring, & Mary Schneider. (2018). Achieving Pregnancy Using Primary Care Interventions to Identify the Fertile Window. Frontiers in Medicine. 4. 250–250. 17 indexed citations
13.
Écochard, René, Thomas P. Bouchard, René Leiva, et al.. (2017). Characterization of hormonal profiles during the luteal phase in regularly menstruating women. Fertility and Sterility. 108(1). 175–182.e1. 27 indexed citations
14.
Leiva, René, et al.. (2017). Urinary Luteinizing Hormone Tests: Which Concentration Threshold Best Predicts Ovulation?. Frontiers in Public Health. 5. 320–320. 36 indexed citations
15.
Écochard, René, et al.. (2015). Self-identification of the clinical fertile window and the ovulation period. Fertility and Sterility. 103(5). 1319–1325.e3. 47 indexed citations
16.
Bouchard, Thomas P., Richard J. Fehring, & Marie Paule Schneider. (2013). Efficacy of a New Postpartum Transition Protocol for Avoiding Pregnancy. The Journal of the American Board of Family Medicine. 26(1). 35–44. 26 indexed citations
17.
Gee, Myrlene, et al.. (2012). Intact limbic-prefrontal connections and reduced amygdala volumes in Parkinson's disease with mild depressive symptoms. Parkinsonism & Related Disorders. 18(7). 809–813. 73 indexed citations
18.
Genuis, Stephen J. & Thomas P. Bouchard. (2010). High-tech family planning: reproductive regulation through computerized fertility monitoring. European Journal of Obstetrics & Gynecology and Reproductive Biology. 153(2). 124–130. 3 indexed citations
19.
Bouchard, Thomas P. & Stephen J. Genuis. (2010). Personal fertility monitors for contraception. Canadian Medical Association Journal. 183(1). 73–76. 16 indexed citations
20.
Camicioli, Richard, Christopher C. Hanstock, Thomas P. Bouchard, et al.. (2007). Magnetic resonance spectroscopic evidence for presupplementary motor area neuronal dysfunction in Parkinson's disease. Movement Disorders. 22(3). 382–386. 33 indexed citations

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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