Jacques Baudier
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Molecular Biology top 1%
- S100 Proteins and Annexins
- Connexins and lens biology
- Mitochondrial Function and Pathology
Papers in
-
- S100 Proteins and Annexins 44
- Connexins and lens biology 19
- Machine Learning in Bioinformatics 8
- Mitochondrial Function and Pathology 6
- Cell Biology 14
- Cellular Mechanics and Interactions 7
- Co-authors
- Jean‐Christophe Deloulme (23 shared papers)R. David Cole (8 shared papers)Christian Delphin (14 shared papers)Dominique Gérard (9 shared papers)Nicole Assard (11 shared papers)Delphine Gérard (4 shared papers)Benoît J. Gentil (8 shared papers)M. Sensenbrenner (7 shared papers)
- Journals
- Journal of Biological Chemistry (18 papers)Biochemistry (5 papers)FEBS Letters (5 papers)Molecular and Cellular Biology (5 papers)Journal of Neurochemistry (4 papers)
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
Jacques Baudier
87 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 112
- Developmental Neuroscience 452
- Molecular Biology 4.2k
- Cellular and Molecular Neuroscience 1.1k
- Cell Biology 801
- Neurology 368
Countries citing papers authored by Jacques Baudier
This map shows the geographic impact of Jacques Baudier'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 Jacques Baudier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Baudier more than expected).
Fields of papers citing papers by Jacques Baudier
This network shows the impact of papers produced by Jacques Baudier. 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 Jacques Baudier. The network helps show where Jacques Baudier may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacques Baudier, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 282 | |
| 2 | 1991 | 256 | |
| 3 | 1992 | 256 | |
| 4 | 1987 | 226 | |
| 5 | 1991 | 217 | |
| 6 | 1990 | 216 | |
| 7 | 1986 | 197 | |
| 8 | 1988 | 167 | |
| 9 | 2003 | 164 | |
| 10 | 1989 | 146 | |
| 11 | 2004 | 131 | |
| 12 | 2006 | 125 | |
| 13 | 1983 | 121 | |
| 14 | 1982 | 120 | |
| 15 | 2010 | 120 | |
| 16 | 1987 | 112 | |
| 17 | 1992 | 111 | |
| 18 | 2001 | 94 | |
| 19 | 1998 | 94 | |
| 20 | 1990 | 94 |
About Jacques Baudier
Jacques Baudier is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Oncology and Immunology, having authored 87 papers that have together received 5.6k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (44 papers), Connexins and lens biology (19 papers), Cancer-related Molecular Pathways (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Machine Learning in Bioinformatics (8 papers), Cellular Mechanics and Interactions (7 papers), Alzheimer's disease research and treatments (6 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Developmental Neuroscience (452 citations), Molecular Biology (4.2k citations), Cellular and Molecular Neuroscience (1.1k citations), Cell Biology (801 citations) and Neurology (368 citations). Jacques Baudier has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Jean‐Christophe Deloulme, R. David Cole, Christian Delphin, Dominique Gérard, Nicole Assard, Delphine Gérard, Benoît J. Gentil, M. Sensenbrenner, Nicole Glasser and Kenneth Haglid. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, FEBS Letters, Molecular and Cellular Biology 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.