Philippe Rosay
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Neurobiology and Insect Physiology Research 7
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- Insect Resistance and Genetics 1
- Co-authors
- Jan A. Veenstra (2 shared papers)Jean‐François Colas (5 shared papers)Luc Maroteaux (5 shared papers)Kim Kaiser (2 shared papers)Stephen F. Goodwin (1 shared paper)Selim Terhzaz (1 shared paper)Jean‐René Martin (1 shared paper)Guillaume Isabel (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Genes Brain & Behavior (1 paper)Behavioural Brain Research (1 paper)Journal of Cell Science (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Philippe Rosay
11 papers receiving 843 citations
Peers
Comparison fields: 5 of 68
- Cellular and Molecular Neuroscience 727
- Aging 64
- Insect Science 227
- Endocrine and Autonomic Systems 59
- Genetics 227
Countries citing papers authored by Philippe Rosay
This map shows the geographic impact of Philippe Rosay'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 Rosay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Rosay more than expected).
Fields of papers citing papers by Philippe Rosay
This network shows the impact of papers produced by Philippe Rosay. 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 Rosay. The network helps show where Philippe Rosay may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Rosay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 174 | |
| 2 | 1997 | 147 | |
| 3 | 2006 | 143 | |
| 4 | 1995 | 137 | |
| 5 | 1992 | 124 | |
| 6 | 2001 | 55 | |
| 7 | 1995 | 23 | |
| 8 | The mouse 5-HT2B receptor: possible involvement in trophic functions of serotonin. | 1994 | 22 |
| 9 | 2015 | 21 | |
| 10 | 1995 | 8 | |
| 11 | Graft rejection across transgene-encoded MHC class II molecules. | 1994 | 1 |
About Philippe Rosay
Philippe Rosay is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Immunology and Ecology, having authored 11 papers that have together received 855 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Insect and Arachnid Ecology and Behavior (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Physiological and biochemical adaptations (2 papers), Immunotherapy and Immune Responses (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Insect Resistance and Genetics (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (727 citations), Aging (64 citations), Insect Science (227 citations), Endocrine and Autonomic Systems (59 citations) and Genetics (227 citations). Philippe Rosay has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Jan A. Veenstra, Jean‐François Colas, Luc Maroteaux, Kim Kaiser, Stephen F. Goodwin, Selim Terhzaz, Jean‐René Martin, Guillaume Isabel, Odile Kellermann and Jean‐Marie Launay. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genes Brain & Behavior, Behavioural Brain Research, Journal of Cell Science and Journal of Biological Chemistry.
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.