Philippe Leroux
Impact in
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- Neuropeptides and Animal Physiology 23
- Neuroscience and Neuropharmacology Research 20
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- Receptor Mechanisms and Signaling 24
- Co-authors
- Hubert Vaudry (40 shared papers)G. Pelletier (12 shared papers)Corinne Bodénant (18 shared papers)Bruno J. Gonzalez (32 shared papers)Sylvie Jégou (23 shared papers)F. Leboulenger (17 shared papers)Stéphane Marret (34 shared papers)Catherine Delarue (14 shared papers)
In The Last Decade
Philippe Leroux
121 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 116
- Behavioral Neuroscience 301
- Cellular and Molecular Neuroscience 1.4k
- Endocrine and Autonomic Systems 467
- Developmental Neuroscience 244
- Reproductive Medicine 256
Countries citing papers authored by Philippe Leroux
This map shows the geographic impact of Philippe Leroux'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 Philippe Leroux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Leroux more than expected).
Fields of papers citing papers by Philippe Leroux
This network shows the impact of papers produced by Philippe Leroux. 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 Philippe Leroux. The network helps show where Philippe Leroux may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Leroux, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 183 | |
| 2 | 1985 | 106 | |
| 3 | 1983 | 102 | |
| 4 | 1992 | 96 | |
| 5 | 1982 | 88 | |
| 6 | 1983 | 84 | |
| 7 | 1989 | 78 | |
| 8 | 1989 | 78 | |
| 9 | 1993 | 75 | |
| 10 | 1988 | 75 | |
| 11 | 1979 | 75 | |
| 12 | 1984 | 63 | |
| 13 | 1980 | 61 | |
| 14 | 1986 | 58 | |
| 15 | 1984 | 56 | |
| 16 | 2007 | 55 | |
| 17 | 2001 | 51 | |
| 18 | 1991 | 50 | |
| 19 | 1985 | 49 | |
| 20 | 1983 | 49 |
About Philippe Leroux
Philippe Leroux is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pediatrics, Perinatology and Child Health, Epidemiology and Endocrine and Autonomic Systems, having authored 124 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (25 papers), Receptor Mechanisms and Signaling (24 papers), Neuropeptides and Animal Physiology (23 papers), Neuroscience and Neuropharmacology Research (20 papers), Neonatal Respiratory Health Research (12 papers), Neuroendocrine Tumor Research Advances (10 papers), Preterm Birth and Chorioamnionitis (8 papers) and Regulation of Appetite and Obesity (8 papers). The work is most often cited by research in Behavioral Neuroscience (301 citations), Cellular and Molecular Neuroscience (1.4k citations), Endocrine and Autonomic Systems (467 citations), Developmental Neuroscience (244 citations) and Reproductive Medicine (256 citations). Philippe Leroux has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Hubert Vaudry, G. Pelletier, Corinne Bodénant, Bruno J. Gonzalez, Sylvie Jégou, F. Leboulenger, Stéphane Marret, Catherine Delarue, Marie‐Christine Tonon and Pierre Gressèns. Their work appears in journals such as Neuroscience, General and Comparative Endocrinology, The Journal of Comparative Neurology, Brain Research and Endocrinology.
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.