Thomas Bourquard
Impact in
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
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- Neuropeptides and Animal Physiology
Papers in ⓘ
- Aging 1
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Anne Poupon (17 shared papers)Éric Reiter (11 shared papers)Pascale Crépieux (9 shared papers)Nathalie Gallay (5 shared papers)Jérôme Azé (3 shared papers)Flavie Landomiel (4 shared papers)Olivier Lichtarge (5 shared papers)Astrid Musnier (7 shared papers)
- Journals
- Nature Communications (2 papers)mAbs (2 papers)Stem Cells (1 paper)Scientific Reports (1 paper)Cell Genomics (1 paper)
- Partner nations
- FranceUnited StatesUnited Arab Emirates
In The Last Decade
Thomas Bourquard
22 papers receiving 416 citations
Peers
Comparison fields: 5 of 82
- Reproductive Medicine 50
- Cellular and Molecular Neuroscience 84
- Molecular Biology 280
- Computational Theory and Mathematics 45
- Radiology, Nuclear Medicine and Imaging 65
Countries citing papers authored by Thomas Bourquard
This map shows the geographic impact of Thomas Bourquard'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 Bourquard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Bourquard more than expected).
Fields of papers citing papers by Thomas Bourquard
This network shows the impact of papers produced by Thomas Bourquard. 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 Bourquard. The network helps show where Thomas Bourquard may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Bourquard, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 56 | |
| 2 | 2013 | 47 | |
| 3 | 2015 | 38 | |
| 4 | 2017 | 34 | |
| 5 | 2018 | 26 | |
| 6 | 2011 | 24 | |
| 7 | 2014 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2017 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2019 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2017 | 16 | |
| 14 | 2021 | 13 | |
| 15 | 2023 | 11 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2025 | 2 |
About Thomas Bourquard
Thomas Bourquard is a scholar working on Aging, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computational Theory and Mathematics and Developmental Neuroscience, having authored 22 papers that have together received 419 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Receptor Mechanisms and Signaling (6 papers), vaccines and immunoinformatics approaches (5 papers), Computational Drug Discovery Methods (4 papers), Neuropeptides and Animal Physiology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Structure and Dynamics (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Reproductive Medicine (50 citations), Cellular and Molecular Neuroscience (84 citations), Molecular Biology (280 citations), Computational Theory and Mathematics (45 citations) and Radiology, Nuclear Medicine and Imaging (65 citations). Thomas Bourquard has collaborated with scholars based in France, United States and United Arab Emirates. Frequent co-authors include Anne Poupon, Éric Reiter, Pascale Crépieux, Nathalie Gallay, Jérôme Azé, Flavie Landomiel, Olivier Lichtarge, Astrid Musnier, Guillaume Durand and Sylvie Claeysen. Their work appears in journals such as Nature Communications, mAbs, Stem Cells, Scientific Reports and Cell Genomics.
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.