Jacques Baudier

6.7k citations
87 papers · 5.9k · h-index 44

Impact in

Papers in

    • S100 Proteins and Annexins 43
    • Connexins and lens biology 20
    • Machine Learning in Bioinformatics 7
    • Mitochondrial Function and Pathology 6
    • Cellular Mechanics and Interactions 7

Jacques Baudier

87 papers receiving 5.7k citations

Peers

Jacques Baudier
Comparison fields: 5 of 113
  • Developmental Neuroscience 458
  • Molecular Biology 4.3k
  • Cellular and Molecular Neuroscience 1.1k
  • Cell Biology 806
  • Neurology 370
Replace Hiroshi Tokumitsu with:
Hiroshi Tokumitsu Japan
Marieangela C. Wilson United Kingdom
Avraham Yaron Israel
Rebecca M. Pruss United States
Henryk Dudek United States
Blake W. Moore United States
Mike Fainzilber Israel
Ralf B. KLEENE Germany
Greg R. Phillips United States
Chia-Yi Kuan United States
Jacques Baudier relative to Hiroshi Tokumitsu Japan Hiroshi Tokumitsu's profile →
Citations per field
00.5×2×2.8×
Hiroshi Tokumitsu · 1×
Citations per year

Countries citing papers authored by Jacques Baudier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jacques Baudier Line = papers co-authored together Jacques Baudier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006291
2 1991263
3 1992259
4 1987243
5 1990239
6 1991230
7 1986209
8 1988176
9 2003169
10 1989161
11 2010138
12 2004137
13 2006134
14 1983129
15 1982128
16 1987117
17 1992111
18 200199
19 199896
20 199095

About Jacques Baudier

Jacques Baudier is a scholar working on Molecular Biology, Cell Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Oncology, having authored 87 papers that have together received 5.9k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (43 papers), Connexins and lens biology (20 papers), Cancer-related Molecular Pathways (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Cellular Mechanics and Interactions (7 papers), Alzheimer's disease research and treatments (7 papers), Machine Learning in Bioinformatics (7 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Developmental Neuroscience (458 citations), Molecular Biology (4.3k citations), Cellular and Molecular Neuroscience (1.1k citations), Cell Biology (806 citations) and Neurology (370 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, Monique Sensenbrenner, Nicole Glasser and Kenneth Haglid. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Molecular and Cellular Biology, 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.

Explore authors with similar magnitude of impact