Lucien Pradayrol
Impact in
-
- Neuropeptides and Animal Physiology
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling
- Glycosylation and Glycoproteins Research
Papers in
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- Neuropeptides and Animal Physiology 37
-
- Receptor Mechanisms and Signaling 19
- Glycosylation and Glycoproteins Research 16
- Polyamine Metabolism and Applications 11
- Co-authors
- Nicole VaysseCatherine SevaStéphane PyronnetAndré RibetDaniel FourmyViktor MuttHans JörnvallNahum Sonenberg
- Journals
- Journal of Biological Chemistry (11 papers)International Journal of Cancer (6 papers)Gastroenterology (6 papers)Regulatory Peptides (5 papers)Pancreas (5 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Lucien Pradayrol
125 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 1.2k
- Molecular Biology 2.3k
- Epidemiology 1.1k
- Endocrinology, Diabetes and Metabolism 516
- Oncology 815
Countries citing papers authored by Lucien Pradayrol
This map shows the geographic impact of Lucien Pradayrol'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 Lucien Pradayrol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucien Pradayrol more than expected).
Fields of papers citing papers by Lucien Pradayrol
This network shows the impact of papers produced by Lucien Pradayrol. 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 Lucien Pradayrol. The network helps show where Lucien Pradayrol may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucien Pradayrol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 54 | |
| 2 | 2006 | 19 | |
| 3 | 2004 | 37 | |
| 4 | 2003 | 105 | |
| 5 | 2002 | 64 | |
| 6 | 2002 | 32 | |
| 7 | 1999 | 33 | |
| 8 | 1999 | 101 | |
| 9 | 1998 | 0 | |
| 10 | 1998 | 8 | |
| 11 | 1997 | 22 | |
| 12 | 1996 | 25 | |
| 13 | 1996 | 62 | |
| 14 | 1993 | 91 | |
| 15 | 1990 | 6 | |
| 16 | 1989 | 4 | |
| 17 | 1988 | 31 | |
| 18 | 1988 | 30 | |
| 19 | 1987 | 17 | |
| 20 | 1982 | 26 |
About Lucien Pradayrol
Lucien Pradayrol is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Epidemiology, Oncology and Surgery, having authored 128 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (37 papers), Neuroendocrine Tumor Research Advances (34 papers), Pancreatic function and diabetes (23 papers), Receptor Mechanisms and Signaling (19 papers), Glycosylation and Glycoproteins Research (16 papers), Polyamine Metabolism and Applications (11 papers), Helicobacter pylori-related gastroenterology studies (10 papers) and Peptidase Inhibition and Analysis (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Molecular Biology (2.3k citations), Epidemiology (1.1k citations), Endocrinology, Diabetes and Metabolism (516 citations) and Oncology (815 citations). Lucien Pradayrol has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Nicole Vaysse, Catherine Seva, Stéphane Pyronnet, André Ribet, Daniel Fourmy, Viktor Mutt, Hans Jörnvall, Nahum Sonenberg, Aline Kowalski‐Chauvel and Christiane Susini. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Cancer, Gastroenterology, Regulatory Peptides and Pancreas.
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.