Stéphane Robin
Impact in
- Genetics top 5%
- Genomic variations and chromosomal abnormalities
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
-
- Gene expression and cancer classification 11
- Genomics and Phylogenetic Studies 3
- Genomics and Chromatin Dynamics 3
- Bioinformatics and Genomic Networks 3
- Gene Regulatory Network Analysis 3
- Genetics 9
- Genomic variations and chromosomal abnormalities 6
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Franck Picard (5 shared papers)Jean‐Jacques Daudin (3 shared papers)Marc Lavielle (1 shared paper)Christian Vaisse (1 shared paper)Tristan Mary‐Huard (2 shared papers)Céline Lévy‐Leduc (2 shared papers)Maud Delattre (1 shared paper)Paul Delmar (1 shared paper)
In The Last Decade
Stéphane Robin
23 papers receiving 923 citations
Peers
Comparison fields: 5 of 121
- Genetics 366
- Statistics and Probability 106
- Molecular Biology 547
- Cancer Research 68
- Public Health, Environmental and Occupational Health 121
Countries citing papers authored by Stéphane Robin
This map shows the geographic impact of Stéphane Robin'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 Stéphane Robin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Robin more than expected).
Fields of papers citing papers by Stéphane Robin
This network shows the impact of papers produced by Stéphane Robin. 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 Stéphane Robin. The network helps show where Stéphane Robin may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane Robin, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 249 | |
| 2 | 2007 | 210 | |
| 3 | 2014 | 103 | |
| 4 | 2011 | 82 | |
| 5 | 2004 | 73 | |
| 6 | 2007 | 41 | |
| 7 | 2007 | 35 | |
| 8 | 2009 | 27 | |
| 9 | 2007 | 24 | |
| 10 | 2008 | 24 | |
| 11 | 2014 | 19 | |
| 12 | 2009 | 19 | |
| 13 | 2013 | 17 | |
| 14 | 1952 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2005 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2000 | 4 | |
| 20 | 2004 | 4 |
About Stéphane Robin
Stéphane Robin is a scholar working on Molecular Biology, Genetics, Plant Science, Artificial Intelligence and Statistics and Probability, having authored 25 papers that have together received 972 indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Genomic variations and chromosomal abnormalities (6 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Bioinformatics and Genomic Networks (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Genetics (366 citations), Statistics and Probability (106 citations), Molecular Biology (547 citations), Cancer Research (68 citations) and Public Health, Environmental and Occupational Health (121 citations). Stéphane Robin has collaborated with scholars based in France, Morocco and Australia. Frequent co-authors include Franck Picard, Jean‐Jacques Daudin, Marc Lavielle, Christian Vaisse, Tristan Mary‐Huard, Céline Lévy‐Leduc, Maud Delattre, Paul Delmar, Julie Aubert and Guillem Rigaill. Their work appears in journals such as BMC Bioinformatics, Computational Statistics & Data Analysis, Bioinformatics, Biometrics and The International Journal of Biostatistics.
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.