Université de Rouen Normandie
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Pharmaceutical Science top 1%
- Fluorine in Organic Chemistry
Papers in
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- Neuropeptides and Animal Physiology 526
- Neuroscience and Neuropharmacology Research 314
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- Fluorine in Organic Chemistry 291
- Top scholars
- Hubert VaudryRobert LalondeDominique CahardXavier SauvageG. GouesbetJean CostentinLoı̈c FayePierre Déchelotte
- Journals
- PLoS ONE (176 papers)Tetrahedron Letters (115 papers)Peptides (114 papers)The Journal of Organic Chemistry (104 papers)Endocrinology (100 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Université de Rouen Normandie
22.3k papers receiving 532.8k citations
Peers
Comparison fields: 5 of 251
- Cellular and Molecular Neuroscience 30.8k
- Pharmaceutical Science 10.5k
- Endocrine and Autonomic Systems 10.4k
- Behavioral Neuroscience 5.0k
- Reproductive Medicine 11.7k
Countries citing scholars working at Université de Rouen Normandie
This map shows the geographic impact of research produced by authors working at Université de Rouen Normandie. 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 papers produced at Université de Rouen Normandie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Université de Rouen Normandie more than expected).
Fields of papers published by authors at Université de Rouen Normandie
This network shows the impact of papers affiliated with Université de Rouen Normandie at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Université de Rouen Normandie at the time of their publication.
About Université de Rouen Normandie
In recent decades, authors affiliated with Université de Rouen Normandie have published 25.9k papers, which have received a total of 582.0k indexed citations . Scholars at this organization have produced 1.2k papers in Cellular and Molecular Neuroscience, 402 papers in Pharmaceutical Science, 354 papers in Endocrine and Autonomic Systems, 429 papers in Reproductive Medicine and 1.6k papers in Organic Chemistry on the topics of Neuropeptides and Animal Physiology (526 papers), Receptor Mechanisms and Signaling (427 papers), Advanced Materials Characterization Techniques (424 papers), Neuroscience and Neuropharmacology Research (314 papers), Combustion and flame dynamics (309 papers), Fluorine in Organic Chemistry (291 papers), Education, sociology, and vocational training (280 papers) and Analytical Chemistry and Chromatography (279 papers). Their work is cited by papers focused on Cellular and Molecular Neuroscience (30.8k citations), Pharmaceutical Science (10.5k citations), Endocrine and Autonomic Systems (10.4k citations), Behavioral Neuroscience (5.0k citations) and Reproductive Medicine (11.7k citations). Authors at Université de Rouen Normandie collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including PLoS ONE, Tetrahedron Letters, Peptides, The Journal of Organic Chemistry and Endocrinology. Some of Université de Rouen Normandie's most productive authors include Hubert Vaudry, Robert Lalonde, Dominique Cahard, Xavier Sauvage, G. Gouesbet, Jean Costentin, Hubert Vaudry, Loı̈c Faye, Pierre Déchelotte and Michel Vert.
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.