Frédéric Coin
Impact in
- Molecular Biology top 2%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Aging top 5%
Papers in
-
- DNA Repair Mechanisms 46
- Genomics and Chromatin Dynamics 21
- Chromatin Remodeling and Cancer 4
- Epigenetics and DNA Methylation 3
- Cancer therapeutics and mechanisms 1
- RNA Research and Splicing 1
- Oncology 3
- Co-authors
- Jean‐Marc Egly (52 shared papers)Valentyn Oksenych (6 shared papers)Wim Vermeulen (7 shared papers)Didier Busso (1 shared paper)Franck Tirode (1 shared paper)Jan H.J. Hoeijmakers (5 shared papers)Jean‐Christophe Marinoni (2 shared papers)Sébastien Fribourg (1 shared paper)
- Journals
- Molecular Cell (10 papers)Journal of Biological Chemistry (6 papers)Nature Communications (5 papers)The EMBO Journal (5 papers)Molecular and Cellular Biology (5 papers)
- Partner nations
- FranceNetherlandsJapan
In The Last Decade
Frédéric Coin
67 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 3.4k
- Aging 36
- Oncology 385
- Genetics 336
- Cancer Research 121
Countries citing papers authored by Frédéric Coin
This map shows the geographic impact of Frédéric Coin'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 Frédéric Coin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Coin more than expected).
Fields of papers citing papers by Frédéric Coin
This network shows the impact of papers produced by Frédéric Coin. 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 Frédéric Coin. The network helps show where Frédéric Coin may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Coin, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 313 | |
| 2 | 2004 | 275 | |
| 3 | 1999 | 251 | |
| 4 | 2007 | 237 | |
| 5 | 1999 | 169 | |
| 6 | 1997 | 160 | |
| 7 | 2011 | 156 | |
| 8 | 2007 | 154 | |
| 9 | 2000 | 148 | |
| 10 | 2008 | 145 | |
| 11 | 2016 | 131 | |
| 12 | 2004 | 123 | |
| 13 | 1997 | 97 | |
| 14 | 2006 | 92 | |
| 15 | 2009 | 90 | |
| 16 | 2017 | 79 | |
| 17 | 2008 | 77 | |
| 18 | 2014 | 75 | |
| 19 | 2004 | 71 | |
| 20 | 2000 | 68 |
About Frédéric Coin
Frédéric Coin is a scholar working on Molecular Biology, Oncology, Microbiology, Cell Biology and Immunology, having authored 67 papers that have together received 4.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (46 papers), Genomics and Chromatin Dynamics (21 papers), Chromatin Remodeling and Cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Antimicrobial Peptides and Activities (1 paper), Cancer therapeutics and mechanisms (1 paper), Microtubule and mitosis dynamics (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Molecular Biology (3.4k citations), Aging (36 citations), Oncology (385 citations), Genetics (336 citations) and Cancer Research (121 citations). Frédéric Coin has collaborated with scholars based in France, Netherlands and Japan. Frequent co-authors include Jean‐Marc Egly, Valentyn Oksenych, Wim Vermeulen, Didier Busso, Franck Tirode, Jan H.J. Hoeijmakers, Jean‐Christophe Marinoni, Sébastien Fribourg, Carlo Rodolfo and Antonia M. Pedrini. Their work appears in journals such as Molecular Cell, Journal of Biological Chemistry, Nature Communications, The EMBO Journal 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.