Benoît Gautier
Impact in
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Angiogenesis and VEGF in Cancer
- Chemical Synthesis and Analysis
Papers in
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- Angiogenesis and VEGF in Cancer 10
- Glycosylation and Glycoproteins Research 4
- Chemical Synthesis and Analysis 4
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- Nerve injury and regeneration 3
- Co-authors
- Kim‐Anh Lê Cao (5 shared papers)Florian Rohart (2 shared papers)Amrit Singh (2 shared papers)Michael A. Vacher (1 shared paper)Casey P. Shannon (1 shared paper)Scott J. Tebbutt (1 shared paper)Michel Vidal (12 shared papers)Nicolas Inguimbert (12 shared papers)
In The Last Decade
Benoît Gautier
34 papers receiving 4.2k citations
Benoît Gautier's Hit Papers
Peers
Comparison fields: 5 of 165
- Biological Psychiatry 69
- Molecular Biology 2.0k
- Cancer Research 225
- Physiology 371
- Aging 27
Countries citing papers authored by Benoît Gautier
This map shows the geographic impact of Benoît Gautier'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 Benoît Gautier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Gautier more than expected).
Fields of papers citing papers by Benoît Gautier
This network shows the impact of papers produced by Benoît Gautier. 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 Benoît Gautier. The network helps show where Benoît Gautier may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Gautier, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | mixOmics: An R package for ‘omics feature selection and multiple data integration Hit paper breakdown → | 2017 | 2695 |
| 2 | DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays Hit paper breakdown → | 2019 | 704 |
| 3 | 2015 | 100 | |
| 4 | 2015 | 75 | |
| 5 | 2019 | 67 | |
| 6 | 2021 | 60 | |
| 7 | 2018 | 39 | |
| 8 | 2007 | 37 | |
| 9 | 2011 | 35 | |
| 10 | 2007 | 35 | |
| 11 | 2015 | 31 | |
| 12 | 2010 | 31 | |
| 13 | 2010 | 29 | |
| 14 | 2014 | 27 | |
| 15 | 2022 | 27 | |
| 16 | 2007 | 25 | |
| 17 | 2015 | 22 | |
| 18 | 2019 | 22 | |
| 19 | 2011 | 21 | |
| 20 | 2011 | 19 |
About Benoît Gautier
Benoît Gautier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Immunology and Allergy and Reproductive Medicine, having authored 34 papers that have together received 4.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (10 papers), Glycosylation and Glycoproteins Research (4 papers), Chemical Synthesis and Analysis (4 papers), Nerve injury and regeneration (3 papers), Optical measurement and interference techniques (3 papers), Cholesterol and Lipid Metabolism (2 papers), Photochromic and Fluorescence Chemistry (2 papers) and Advanced Optical Imaging Technologies (2 papers). The work is most often cited by research in Biological Psychiatry (69 citations), Molecular Biology (2.0k citations), Cancer Research (225 citations), Physiology (371 citations) and Aging (27 citations). Benoît Gautier has collaborated with scholars based in France, Australia and Germany. Frequent co-authors include Kim‐Anh Lê Cao, Florian Rohart, Amrit Singh, Michael A. Vacher, Casey P. Shannon, Scott J. Tebbutt, Michel Vidal, Nicolas Inguimbert, Christiane Garbay and Victor Gonçalves. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Peptide Science, Bioorganic & Medicinal Chemistry, PLoS ONE and Analytical Biochemistry.
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.