Daniel Fourmy
Impact in
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- Neuropeptides and Animal Physiology
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling
Papers in
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- Neuropeptides and Animal Physiology 20
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- Receptor Mechanisms and Signaling 45
- PI3K/AKT/mTOR signaling in cancer 2
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Marlène Dufresne (40 shared papers)Catherine Seva (19 shared papers)Chantal Escrieut (42 shared papers)Lucien Pradayrol (36 shared papers)Nicole Vaysse (27 shared papers)Véronique Gigoux (26 shared papers)Pascal Clerc (32 shared papers)Sandrine Silvente‐Poirot (20 shared papers)
In The Last Decade
Daniel Fourmy
128 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 567
- Molecular Biology 1.1k
- Endocrine and Autonomic Systems 94
- Oncology 153
- Biomedical Engineering 228
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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 398 | |
| 2 | 1993 | 115 | |
| 3 | 2009 | 99 | |
| 4 | 2017 | 96 | |
| 5 | 2002 | 92 | |
| 6 | 2014 | 87 | |
| 7 | 1999 | 80 | |
| 8 | 2006 | 73 | |
| 9 | 1998 | 72 | |
| 10 | 2006 | 69 | |
| 11 | 1999 | 67 | |
| 12 | 2002 | 67 | |
| 13 | 2005 | 61 | |
| 14 | 1997 | 60 | |
| 15 | 2001 | 60 | |
| 16 | 1993 | 59 | |
| 17 | 2021 | 59 | |
| 18 | 1997 | 56 | |
| 19 | 1999 | 55 | |
| 20 | 2002 | 55 |
About Daniel Fourmy
Daniel Fourmy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Oncology, Surgery and Biomedical Engineering, having authored 130 papers that have together received 4.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (45 papers), Neuropeptides and Animal Physiology (20 papers), Pancreatic function and diabetes (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers), Neuroendocrine Tumor Research Advances (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (567 citations), Molecular Biology (1.1k citations), Endocrine and Autonomic Systems (94 citations), Oncology (153 citations) and Biomedical Engineering (228 citations). Daniel Fourmy has collaborated with scholars based in France, Germany and Spain. Frequent co-authors include Marlène Dufresne, Catherine Seva, Chantal Escrieut, Lucien Pradayrol, Nicole Vaysse, Véronique Gigoux, Pascal Clerc, Sandrine Silvente‐Poirot, Bernard Maigret and Luis Moroder. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, European Journal of Biochemistry, Regulatory Peptides and Journal of Medicinal 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.