L.A. Pradel
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
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- S100 Proteins and Annexins
- Enzyme function and inhibition
- Lipid Membrane Structure and Behavior
- Ion channel regulation and function
- Protein Structure and Dynamics
Papers in
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- Enzyme function and inhibition 5
- S100 Proteins and Annexins 3
- Biochemical and Molecular Research 3
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- Cellular transport and secretion 3
- Muscle metabolism and nutrition 2
- Co-authors
- Jean‐Pierre Henry (2 shared papers)M F Bader (2 shared papers)Dominique Aunis (2 shared papers)Claude Roustan (4 shared papers)Abdellatif Fattoum (4 shared papers)Rhida Kassab (4 shared papers)Elisabeth der Terrossian (4 shared papers)Nguyen‐Van Thoai (4 shared papers)
In The Last Decade
L.A. Pradel
22 papers receiving 765 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 281
- Molecular Biology 649
- Cancer Research 87
- Cellular and Molecular Neuroscience 90
- Biochemistry 35
Countries citing papers authored by L.A. Pradel
This map shows the geographic impact of L.A. Pradel'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 L.A. Pradel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.A. Pradel more than expected).
Fields of papers citing papers by L.A. Pradel
This network shows the impact of papers produced by L.A. Pradel. 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 L.A. Pradel. The network helps show where L.A. Pradel may publish in the future.
Co-authors
The 25 scholars most cited alongside L.A. Pradel, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 178 | |
| 2 | 1996 | 103 | |
| 3 | 1986 | 56 | |
| 4 | 1980 | 52 | |
| 5 | 1970 | 43 | |
| 6 | 1977 | 42 | |
| 7 | 1966 | 41 | |
| 8 | 1991 | 41 | |
| 9 | 1987 | 37 | |
| 10 | 1967 | 36 | |
| 11 | 1979 | 36 | |
| 12 | 1991 | 28 | |
| 13 | 1965 | 28 | |
| 14 | 1970 | 25 | |
| 15 | 1969 | 23 | |
| 16 | 1976 | 10 | |
| 17 | 1960 | 9 | |
| 18 | 1993 | 8 | |
| 19 | 1977 | 8 | |
| 20 | 1989 | 5 |
About L.A. Pradel
L.A. Pradel is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Physiology and Neurology, having authored 22 papers that have together received 813 indexed citations. Recurring topics across this work include Enzyme function and inhibition (5 papers), S100 Proteins and Annexins (3 papers), Cellular transport and secretion (3 papers), Enzyme Structure and Function (3 papers), Biochemical and Molecular Research (3 papers), Muscle metabolism and nutrition (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cell Biology (281 citations), Molecular Biology (649 citations), Cancer Research (87 citations), Cellular and Molecular Neuroscience (90 citations) and Biochemistry (35 citations). L.A. Pradel has collaborated with scholars based in France, Italy and Venezuela. Frequent co-authors include Jean‐Pierre Henry, M F Bader, Dominique Aunis, Claude Roustan, Abdellatif Fattoum, Rhida Kassab, Elisabeth der Terrossian, Nguyen‐Van Thoai, Thierry Frappier and Ridha Kassab. Their work appears in journals such as The Journal of Cell Biology, European Journal of Biochemistry, Biochemistry, FEBS Letters and Journal of Neurochemistry.
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.