Pascal Clerc
Impact in
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- Neuropeptides and Animal Physiology
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- Diabetes Treatment and Management
Papers in
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- Neuropeptides and Animal Physiology 18
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- Receptor Mechanisms and Signaling 10
- Co-authors
- Daniel Fourmy (22 shared papers)Véronique Gigoux (19 shared papers)Marlène Dufresne (18 shared papers)Nicole Vaysse (11 shared papers)J. Carrey (6 shared papers)Chantal Escrieut (9 shared papers)J.P. Estève (2 shared papers)Hervé Prats (2 shared papers)
- Journals
- International Journal of Cancer (4 papers)Gastroenterology (3 papers)American Journal Of Pathology (2 papers)Molecular and Cellular Endocrinology (2 papers)Oncogene (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Pascal Clerc
79 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 132
- Cellular and Molecular Neuroscience 385
- Endocrinology, Diabetes and Metabolism 228
- Oncology 340
- Biomaterials 166
- Epidemiology 379
Countries citing papers authored by Pascal Clerc
This map shows the geographic impact of Pascal Clerc'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 Pascal Clerc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Clerc more than expected).
Fields of papers citing papers by Pascal Clerc
This network shows the impact of papers produced by Pascal Clerc. 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 Pascal Clerc. The network helps show where Pascal Clerc may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Clerc, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 285 | |
| 2 | 2017 | 93 | |
| 3 | 2014 | 82 | |
| 4 | 1999 | 76 | |
| 5 | 2006 | 65 | |
| 6 | 2002 | 64 | |
| 7 | 2011 | 63 | |
| 8 | 1997 | 58 | |
| 9 | 2021 | 56 | |
| 10 | 2015 | 46 | |
| 11 | 2016 | 41 | |
| 12 | 1998 | 38 | |
| 13 | 1961 | 36 | |
| 14 | 1988 | 35 | |
| 15 | 1995 | 35 | |
| 16 | 2013 | 30 | |
| 17 | Lipid-dependent proliferation of pancreatic cancer cell lines. | 1991 | 30 |
| 18 | 2014 | 29 | |
| 19 | 2013 | 29 | |
| 20 | 2015 | 27 |
About Pascal Clerc
Pascal Clerc is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Sociology and Political Science, Surgery and Oncology, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), French Urban and Social Studies (11 papers), Receptor Mechanisms and Signaling (10 papers), Historical Geography and Geographical Thought (9 papers), Pancreatic function and diabetes (8 papers), Neuroendocrine Tumor Research Advances (8 papers), Peptidase Inhibition and Analysis (7 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (385 citations), Endocrinology, Diabetes and Metabolism (228 citations), Oncology (340 citations), Biomaterials (166 citations) and Epidemiology (379 citations). Pascal Clerc has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Daniel Fourmy, Véronique Gigoux, Marlène Dufresne, Nicole Vaysse, J. Carrey, Chantal Escrieut, J.P. Estève, Hervé Prats, Louis Buscail and Graeme I. Bell. Their work appears in journals such as International Journal of Cancer, Gastroenterology, American Journal Of Pathology, Molecular and Cellular Endocrinology and Oncogene.
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.