Éric Batsché
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Biology top 5%
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Interference and Gene Delivery
Papers in
-
- Genomics and Chromatin Dynamics 12
- RNA Research and Splicing 10
- Epigenetics and DNA Methylation 2
- Oncology 6
- Cancer-related Molecular Pathways 5
- Co-authors
- Christian Muchardt (21 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)Pascale Cossart (2 shared papers)Claude Parsot (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Nature Structural & Molecular Biology (3 papers)Journal of Biological Chemistry (2 papers)Life Science Alliance (2 papers)Neuroendocrinology (2 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Éric Batsché
32 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 85
- Endocrinology 139
- Molecular Biology 1.4k
- Immunology 220
- Cancer Research 151
- Biotechnology 69
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 373 | |
| 2 | 2006 | 320 | |
| 3 | 2012 | 231 | |
| 4 | 2007 | 230 | |
| 5 | 2011 | 212 | |
| 6 | 1998 | 143 | |
| 7 | 2003 | 128 | |
| 8 | 2014 | 88 | |
| 9 | 2008 | 85 | |
| 10 | 2012 | 84 | |
| 11 | 2009 | 74 | |
| 12 | 2009 | 65 | |
| 13 | 2007 | 55 | |
| 14 | 2009 | 45 | |
| 15 | 2005 | 40 | |
| 16 | 2005 | 29 | |
| 17 | 2015 | 27 | |
| 18 | 2014 | 22 | |
| 19 | 2021 | 22 | |
| 20 | 2021 | 21 |
About Éric Batsché
Éric Batsché is a scholar working on Molecular Biology, Oncology, Behavioral Neuroscience, Cancer Research and Genetics, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (10 papers), Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (2 papers), Nuclear Receptors and Signaling (2 papers), NF-κB Signaling Pathways (2 papers), Stress Responses and Cortisol (2 papers) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Endocrinology (139 citations), Molecular Biology (1.4k citations), Immunology (220 citations), Cancer Research (151 citations) and Biotechnology (69 citations). Éric Batsché has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Christian Muchardt, Moshé Yaniv, Christophe Rachez, Violaine Saint‐André, Chantal Crémisi, Laurence Arbibe, Pascale Cossart, Claude Parsot, Thierry Pédron and Béatrice Regnault. Their work appears in journals such as Nucleic Acids Research, Nature Structural & Molecular Biology, Journal of Biological Chemistry, Life Science Alliance and Neuroendocrinology.
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.