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
- Glycosylation and Glycoproteins Research 3
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Jacques Grassi (24 shared papers)Christophe Créminon (22 shared papers)Jacques Maclouf (8 shared papers)Yveline Frobert (9 shared papers)F. Dray (6 shared papers)P. Fromageot (3 shared papers)Nicole Guiso (1 shared paper)Danièlle Chabardès (1 shared paper)
In The Last Decade
Philippe Pradelles
56 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Cellular and Molecular Neuroscience 420
- Biochemistry 106
- Pharmacology 224
- Endocrine and Autonomic Systems 85
- Molecular Biology 846
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 142 | |
| 2 | 1989 | 140 | |
| 3 | 1973 | 103 | |
| 4 | 1989 | 96 | |
| 5 | 1976 | 89 | |
| 6 | 1988 | 88 | |
| 7 | 1972 | 79 | |
| 8 | 1990 | 72 | |
| 9 | 1989 | 69 | |
| 10 | 1991 | 66 | |
| 11 | 1990 | 64 | |
| 12 | 1995 | 59 | |
| 13 | 1994 | 58 | |
| 14 | 1991 | 48 | |
| 15 | 1972 | 41 | |
| 16 | 1988 | 41 | |
| 17 | 1979 | 40 | |
| 18 | 1999 | 38 | |
| 19 | 1988 | 38 | |
| 20 | 1994 | 37 |
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 56 papers that have together received 1.9k 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), Cholinesterase and Neurodegenerative Diseases (5 papers), Inflammatory mediators and NSAID effects (5 papers), Chemical Synthesis and Analysis (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (420 citations), Biochemistry (106 citations), Pharmacology (224 citations), Endocrine and Autonomic Systems (85 citations) and Molecular Biology (846 citations). Philippe Pradelles has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include Jacques Grassi, Christophe Créminon, Jacques Maclouf, Yveline Frobert, F. Dray, P. Fromageot, Nicole Guiso, Danièlle Chabardès, 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 Methods in enzymology on CD-ROM/Methods in enzymology.
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.