J.-P. Zanetta
- Cell Biology top 5%
- Cellular transport and secretion 11
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 21
- Lipid Membrane Structure and Behavior 7
- S100 Proteins and Annexins 4
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- Neuroscience and Neuropharmacology Research 10
- Developmental Neuroscience top 10%
- Immunology top 10%
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- Carbohydrate Chemistry and Synthesis 6
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- Analytical Chemistry and Chromatography 4
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- Computational Drug Discovery Methods 3
In The Last Decade
J.-P. Zanetta
41 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Cell Biology 340
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 282
- Developmental Neuroscience 62
- Immunology 242
Countries citing papers authored by J.-P. Zanetta
This map shows the geographic impact of J.-P. Zanetta'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 J.-P. Zanetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-P. Zanetta more than expected).
Fields of papers citing papers by J.-P. Zanetta
This network shows the impact of papers produced by J.-P. Zanetta. 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 J.-P. Zanetta. The network helps show where J.-P. Zanetta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J.-P. Zanetta, 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 | 2003 | 5 | |
| 2 | 2001 | 68 | |
| 3 | 2001 | 69 | |
| 4 | 2000 | 31 | |
| 5 | 1999 | 84 | |
| 6 | 1999 | 8 | |
| 7 | 1998 | 31 | |
| 8 | 1991 | 14 | |
| 9 | 1989 | 29 | |
| 10 | 1987 | 43 | |
| 11 | 1987 | 10 | |
| 12 | 1984 | 17 | |
| 13 | 1981 | 42 | |
| 14 | 1981 | 54 | |
| 15 | 1978 | 86 | |
| 16 | 1974 | 4 | |
| 17 | 1972 | 4 | |
| 18 | 1972 | 119 | |
| 19 | Analysis of monosaccharides by gas-liquid chromatography of the o-methyl glycosides as trifluoroacetate derivativesbreakdown → | 1972 | 381 |
| 20 | 1970 | 165 |
About J.-P. Zanetta
J.-P. Zanetta is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience and Molecular Biology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (21 papers), Cellular transport and secretion (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Lipid Membrane Structure and Behavior (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Analytical Chemistry and Chromatography (4 papers), S100 Proteins and Annexins (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Cell Biology (340 citations), Molecular Biology (1.3k citations), Cellular and Molecular Neuroscience (282 citations), Developmental Neuroscience (62 citations) and Immunology (242 citations). J.-P. Zanetta has collaborated with scholars based in France, Tunisia and Hungary. Frequent co-authors include G. Vincendon, W. C. Breckenridge, G. Gombos, Ian G. Morgan, A. Reeber, P. Mandel, G. Roussel, Y. Leroy, Philip Timmerman and Monique Dontenwill. Their work appears in journals such as Journal of Neurochemistry, Brain Research, Developmental Brain Research, Glycobiology and FEBS Letters.
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.