Éric Batsché
Impact in
- Endocrinology top 5%
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
Papers in
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- RNA Research and Splicing 9
- RNA modifications and cancer 9
- Genomics and Chromatin Dynamics 7
- Cancer-related gene regulation 6
- Epigenetics and DNA Methylation 5
- Retinoids in leukemia and cellular processes 4
- RNA and protein synthesis mechanisms 4
- Co-authors
- Christian Muchardt (22 shared papers)Moshé Yaniv (1 shared paper)Christophe Rachez (6 shared papers)Violaine Saint‐André (2 shared papers)Chantal Crémisi (4 shared papers)Laurence Arbibe (3 shared papers)Claude Parsot (1 shared paper)Philippe Sansonetti (1 shared paper)
In The Last Decade
Éric Batsché
33 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 95
- Endocrinology 139
- Molecular Biology 1.8k
- Cancer Research 264
- Immunology 364
- Aging 26
Countries citing papers authored by Éric Batsché
This map shows the geographic impact of Éric Batsché'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 Éric Batsché with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Batsché more than expected).
Fields of papers citing papers by Éric Batsché
This network shows the impact of papers produced by Éric Batsché. 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 Éric Batsché. The network helps show where Éric Batsché may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Batsché, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 373 | |
| 2 | 2006 | 318 | |
| 3 | 2012 | 228 | |
| 4 | 2007 | 227 | |
| 5 | 2011 | 211 | |
| 6 | 1998 | 145 | |
| 7 | 2003 | 129 | |
| 8 | 2009 | 107 | |
| 9 | 2008 | 91 | |
| 10 | 2012 | 86 | |
| 11 | 2014 | 82 | |
| 12 | 2009 | 70 | |
| 13 | 2009 | 66 | |
| 14 | 2007 | 54 | |
| 15 | 2009 | 45 | |
| 16 | 2005 | 42 | |
| 17 | 2005 | 31 | |
| 18 | 2015 | 28 | |
| 19 | 2014 | 21 | |
| 20 | 2021 | 20 |
About Éric Batsché
Éric Batsché is a scholar working on Molecular Biology, Immunology, Oncology, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA modifications and cancer (9 papers), Genomics and Chromatin Dynamics (7 papers), Cancer-related gene regulation (6 papers), Epigenetics and DNA Methylation (5 papers), Retinoids in leukemia and cellular processes (4 papers), RNA and protein synthesis mechanisms (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Endocrinology (139 citations), Molecular Biology (1.8k citations), Cancer Research (264 citations), Immunology (364 citations) and Aging (26 citations). Éric Batsché has collaborated with scholars based in France, Canada and Denmark. Frequent co-authors include Christian Muchardt, Moshé Yaniv, Christophe Rachez, Violaine Saint‐André, Chantal Crémisi, Laurence Arbibe, Claude Parsot, Philippe Sansonetti, Dong Wook Kim and Jacques Drouin. Their work appears in journals such as Nature Structural & Molecular Biology, Nucleic Acids Research, The EMBO Journal, Life Science Alliance and Molecular and Cellular Biology.
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.