Philippe Pradelles
Impact in
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- Neuropeptides and Animal Physiology
- Biochemistry top 5%
Papers in
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- Receptor Mechanisms and Signaling 8
- Chemical Synthesis and Analysis 5
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Jacques Grassi (23 shared papers)Christophe Créminon (22 shared papers)Yveline Frobert (9 shared papers)Jacques Maclouf (7 shared papers)F. Dray (6 shared papers)Danièlle Chabardès (1 shared paper)Nicole Guiso (1 shared paper)P. Fromageot (3 shared papers)
In The Last Decade
Philippe Pradelles
55 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 397
- Biochemistry 100
- Endocrine and Autonomic Systems 85
- Pharmacology 204
- Molecular Biology 828
Countries citing papers authored by Philippe Pradelles
This map shows the geographic impact of Philippe Pradelles'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 Philippe Pradelles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Pradelles more than expected).
Fields of papers citing papers by Philippe Pradelles
This network shows the impact of papers produced by Philippe Pradelles. 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 Philippe Pradelles. The network helps show where Philippe Pradelles may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Pradelles, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 141 | |
| 2 | 1989 | 139 | |
| 3 | 1973 | 96 | |
| 4 | 1989 | 87 | |
| 5 | 1988 | 84 | |
| 6 | 1976 | 78 | |
| 7 | 1990 | 72 | |
| 8 | 1989 | 69 | |
| 9 | 1972 | 68 | |
| 10 | 1991 | 65 | |
| 11 | 1995 | 58 | |
| 12 | 1994 | 55 | |
| 13 | 1991 | 46 | |
| 14 | 1988 | 39 | |
| 15 | 1999 | 37 | |
| 16 | 1994 | 35 | |
| 17 | 1972 | 35 | |
| 18 | 1979 | 35 | |
| 19 | 1988 | 32 | |
| 20 | 1991 | 31 |
About Philippe Pradelles
Philippe Pradelles is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (8 papers), Neuroendocrine regulation and behavior (6 papers), Chemical Synthesis and Analysis (5 papers), Inflammatory mediators and NSAID effects (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (397 citations), Biochemistry (100 citations), Endocrine and Autonomic Systems (85 citations), Pharmacology (204 citations) and Molecular Biology (828 citations). Philippe Pradelles has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include Jacques Grassi, Christophe Créminon, Yveline Frobert, Jacques Maclouf, F. Dray, Danièlle Chabardès, Nicole Guiso, P. Fromageot, Patrice E. Poubelle and Pierangelo Geppetti. Their work appears in journals such as Journal of Immunological Methods, FEBS Letters, Analytical Chemistry, European Journal of Pharmacology and Analytical Biochemistry.
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.