Pascal Clerc

85 papers receiving 1.7k citations

Peers

Pascal Clerc
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 410
  • Endocrinology, Diabetes and Metabolism 239
  • Oncology 357
  • Biomaterials 176
  • Epidemiology 389
Replace Joseph R. Osborne with:
Joseph R. Osborne United States
Michael Becker Germany
Howard Warren Goldman United States
Olaf Prante Germany
C. Thomas Powell United States
Eyal Mishani Israel
Gyorgy Bela Halmos Netherlands
Amandine Hurbin France
Ana Maria Bajo Spain
Károly Szepesházi United States
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Citations per year

Countries citing papers authored by Pascal Clerc

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pascal Clerc Line = papers co-authored together Pascal Clerc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994302
2 201795
3 201488
4 199981
5 200669
6 201167
7 200267
8 199758
9 202158
10 201554
11 201642
12 196141
13 199838
14 199536
15 201336
16 198834
17 201331
18 201430
19
Lipid-dependent proliferation of pancreatic cancer cell lines.
199130
20 201528

About Pascal Clerc

Pascal Clerc is a scholar working on Cellular and Molecular Neuroscience, Geography, Planning and Development, Oncology, Epidemiology and Geriatrics and Gerontology, having authored 97 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (19 papers), French Urban and Social Studies (11 papers), Historical Geography and Geographical Thought (10 papers), Receptor Mechanisms and Signaling (10 papers), Neuroendocrine Tumor Research Advances (9 papers), Pancreatic function and diabetes (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 (410 citations), Endocrinology, Diabetes and Metabolism (239 citations), Oncology (357 citations), Biomaterials (176 citations) and Epidemiology (389 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, Julian Carrey, Chantal Escrieut, J.P. Estève, Hervé Prats, Louis Buscail and Nathalie Saint‐Laurent. Their work appears in journals such as International Journal of Cancer, Gastroenterology, American Journal Of Pathology, Oncogene 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.

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