Daniel Fourmy
Impact in
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- Neuropeptides and Animal Physiology
Papers in
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- Neuropeptides and Animal Physiology 62
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- Receptor Mechanisms and Signaling 43
- Glycosylation and Glycoproteins Research 7
- Co-authors
- Marlène Dufresne (26 shared papers)Catherine Seva (14 shared papers)Chantal Escrieut (36 shared papers)Lucien Pradayrol (25 shared papers)Nicole Vaysse (17 shared papers)Véronique Gigoux (20 shared papers)Sandrine Silvente‐Poirot (17 shared papers)Pascal Clerc (22 shared papers)
- Journals
- Journal of Biological Chemistry (14 papers)European Journal of Biochemistry (7 papers)Molecular Pharmacology (7 papers)Journal of Medicinal Chemistry (4 papers)Regulatory Peptides (4 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Daniel Fourmy
92 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 118
- Cellular and Molecular Neuroscience 1.4k
- Endocrine and Autonomic Systems 157
- Molecular Biology 1.6k
- Endocrinology, Diabetes and Metabolism 339
- Oncology 530
Countries citing papers authored by Daniel Fourmy
This map shows the geographic impact of Daniel Fourmy'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 Daniel Fourmy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fourmy more than expected).
Fields of papers citing papers by Daniel Fourmy
This network shows the impact of papers produced by Daniel Fourmy. 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 Daniel Fourmy. The network helps show where Daniel Fourmy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fourmy, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 396 | |
| 2 | 1993 | 116 | |
| 3 | 2009 | 99 | |
| 4 | 2017 | 94 | |
| 5 | 2002 | 94 | |
| 6 | 2014 | 85 | |
| 7 | 1998 | 72 | |
| 8 | 2006 | 70 | |
| 9 | 1999 | 68 | |
| 10 | 2002 | 67 | |
| 11 | 1997 | 62 | |
| 12 | 2001 | 60 | |
| 13 | 2005 | 60 | |
| 14 | 2021 | 56 | |
| 15 | 2002 | 55 | |
| 16 | 2000 | 53 | |
| 17 | 2010 | 52 | |
| 18 | 2015 | 51 | |
| 19 | 1987 | 51 | |
| 20 | 2005 | 50 |
About Daniel Fourmy
Daniel Fourmy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Oncology, Surgery and Epidemiology, having authored 93 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (62 papers), Receptor Mechanisms and Signaling (43 papers), Peptidase Inhibition and Analysis (23 papers), Pancreatic function and diabetes (15 papers), Neuroendocrine Tumor Research Advances (13 papers), Diabetes Treatment and Management (9 papers), Helicobacter pylori-related gastroenterology studies (8 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Endocrine and Autonomic Systems (157 citations), Molecular Biology (1.6k citations), Endocrinology, Diabetes and Metabolism (339 citations) and Oncology (530 citations). Daniel Fourmy has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Marlène Dufresne, Catherine Seva, Chantal Escrieut, Lucien Pradayrol, Nicole Vaysse, Véronique Gigoux, Sandrine Silvente‐Poirot, Pascal Clerc, Luis Moroder and Bernard Maigret. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Molecular Pharmacology, Journal of Medicinal Chemistry and Regulatory Peptides.
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.