Maxime Rotival
Impact in
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- Cancer, Lipids, and Metabolism
- Genetics top 10%
- Genetic Associations and Epidemiology
Papers in
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- RNA Research and Splicing 7
- RNA modifications and cancer 7
- Bioinformatics and Genomic Networks 5
- Epigenetics and DNA Methylation 4
- Gene expression and cancer classification 3
- Genetics 9
- Genetic Associations and Epidemiology 4
- Co-authors
- Lluís Quintana‐Murci (11 shared papers)Enrico Petretto (9 shared papers)Hélène Quach (5 shared papers)Anne C. M. Thiébaut (2 shared papers)V. Joulin (2 shared papers)Véronique Chajès (2 shared papers)Gilbert Lenoir (2 shared papers)Émilien Gauthier (1 shared paper)
- Journals
- Nature Communications (4 papers)PLoS Genetics (3 papers)Genome biology (3 papers)PLoS ONE (3 papers)Genetics (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Maxime Rotival
29 papers receiving 925 citations
Peers
Comparison fields: 5 of 112
- Cancer Research 152
- Genetics 282
- Molecular Biology 545
- Nutrition and Dietetics 116
- Computational Mathematics 4
Countries citing papers authored by Maxime Rotival
This map shows the geographic impact of Maxime Rotival'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 Maxime Rotival with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Rotival more than expected).
Fields of papers citing papers by Maxime Rotival
This network shows the impact of papers produced by Maxime Rotival. 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 Maxime Rotival. The network helps show where Maxime Rotival may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Rotival, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 171 | |
| 2 | 2018 | 79 | |
| 3 | 2012 | 73 | |
| 4 | 2015 | 64 | |
| 5 | 2017 | 63 | |
| 6 | 2014 | 49 | |
| 7 | 2019 | 47 | |
| 8 | 2014 | 43 | |
| 9 | 2009 | 41 | |
| 10 | 2013 | 33 | |
| 11 | 2015 | 32 | |
| 12 | 2013 | 31 | |
| 13 | 2019 | 30 | |
| 14 | 2020 | 23 | |
| 15 | 2014 | 22 | |
| 16 | 2011 | 22 | |
| 17 | 2011 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2014 | 14 | |
| 20 | 2021 | 12 |
About Maxime Rotival
Maxime Rotival is a scholar working on Molecular Biology, Genetics, Cancer Research, Nutrition and Dietetics and Immunology, having authored 30 papers that have together received 944 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (7 papers), Bioinformatics and Genomic Networks (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), Genetic Associations and Epidemiology (4 papers), Gene expression and cancer classification (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (152 citations), Genetics (282 citations), Molecular Biology (545 citations), Nutrition and Dietetics (116 citations) and Computational Mathematics (4 citations). Maxime Rotival has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Lluís Quintana‐Murci, Enrico Petretto, Hélène Quach, Anne C. M. Thiébaut, V. Joulin, Véronique Chajès, Gilbert Lenoir, Émilien Gauthier, Virginie Maillard and F. Clavel-Chapelon. Their work appears in journals such as Nature Communications, PLoS Genetics, Genome biology, PLoS ONE and Genetics.
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.