M Berlan
Impact in
- Physiology top 0.2%
- Adipose Tissue and Metabolism
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity
Papers in
- Physiology 104
- Adipose Tissue and Metabolism 90
- Diet and metabolism studies 18
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- Receptor Mechanisms and Signaling 44
- Co-authors
- Max Lafontan (118 shared papers)Jean Galitzky (66 shared papers)Coralie Sengenès (16 shared papers)Cédric Moro (29 shared papers)Isabelle de Glisezinski (27 shared papers)Vladimír Štich (33 shared papers)F. Crampes (34 shared papers)Dominique Langin (23 shared papers)
In The Last Decade
M Berlan
184 papers receiving 7.5k citations
M Berlan's Hit Papers
Peers
Comparison fields: 5 of 123
- Physiology 4.1k
- Endocrine and Autonomic Systems 762
- Biochemistry 669
- Cardiology and Cardiovascular Medicine 1.6k
- Animal Science and Zoology 670
Countries citing papers authored by M Berlan
This map shows the geographic impact of M Berlan'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 M Berlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Berlan more than expected).
Fields of papers citing papers by M Berlan
This network shows the impact of papers produced by M Berlan. 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 M Berlan. The network helps show where M Berlan may publish in the future.
Co-authors
The 25 scholars most cited alongside M Berlan, 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 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fat cell adrenergic receptors and the control of white and brown fat cell function Hit paper breakdown → | 1993 | 541 |
| 2 | 2000 | 417 | |
| 3 | 2003 | 224 | |
| 4 | 2003 | 213 | |
| 5 | 1987 | 204 | |
| 6 | 2008 | 191 | |
| 7 | 2006 | 177 | |
| 8 | 1996 | 156 | |
| 9 | 1995 | 147 | |
| 10 | 2005 | 140 | |
| 11 | 2006 | 137 | |
| 12 | 2004 | 136 | |
| 13 | 2002 | 128 | |
| 14 | 1979 | 123 | |
| 15 | 1999 | 117 | |
| 16 | 2008 | 111 | |
| 17 | 1997 | 105 | |
| 18 | 2007 | 104 | |
| 19 | 1988 | 104 | |
| 20 | 1990 | 94 |
About M Berlan
M Berlan is a scholar working on Physiology, Molecular Biology, Animal Science and Zoology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 184 papers that have together received 7.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (90 papers), Receptor Mechanisms and Signaling (44 papers), Pharmacological Effects and Assays (43 papers), Muscle metabolism and nutrition (27 papers), Diet and metabolism studies (18 papers), Neuropeptides and Animal Physiology (16 papers), Cardiovascular and exercise physiology (13 papers) and Heart Rate Variability and Autonomic Control (12 papers). The work is most often cited by research in Physiology (4.1k citations), Endocrine and Autonomic Systems (762 citations), Biochemistry (669 citations), Cardiology and Cardiovascular Medicine (1.6k citations) and Animal Science and Zoology (670 citations). M Berlan has collaborated with scholars based in France, Czechia and Germany. Frequent co-authors include Max Lafontan, Jean Galitzky, Coralie Sengenès, Cédric Moro, Isabelle de Glisezinski, Vladimír Štich, F. Crampes, Dominique Langin, Christian Carpéné and P Barbe. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology, Journal of Lipid Research, The Journal of Clinical Endocrinology & Metabolism and American Journal of Physiology-Endocrinology and Metabolism.
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.