Katia Ancelin
Impact in
- Aging top 1%
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Cancer-related gene regulation
- RNA modifications and cancer
Papers in
- Aging 2
-
- Epigenetics and DNA Methylation 16
- Genomics and Chromatin Dynamics 13
- Pluripotent Stem Cells Research 6
- Cancer-related gene regulation 5
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 4
- Co-authors
- M. Azim SuraniPetra HájkováUlrike C. LangeRobert SchneiderChristine BrunMitinori SaitouBernhard PayerÉdith Heard
- Journals
- Nature Communications (3 papers)Nature (3 papers)Molecular Cell (2 papers)BioEssays (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (2 papers)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Katia Ancelin
28 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Aging 185
- Molecular Biology 3.1k
- Genetics 844
- Physiology 667
- Cancer Research 271
Countries citing papers authored by Katia Ancelin
This map shows the geographic impact of Katia Ancelin'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 Katia Ancelin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia Ancelin more than expected).
Fields of papers citing papers by Katia Ancelin
This network shows the impact of papers produced by Katia Ancelin. 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 Katia Ancelin. The network helps show where Katia Ancelin may publish in the future.
Co-authors
The 25 scholars most cited alongside Katia Ancelin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 15 | |
| 2 | 2020 | 1 | |
| 3 | 2020 | 2 | |
| 4 | 2020 | 121 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 74 | |
| 7 | 2017 | 116 | |
| 8 | 2017 | 47 | |
| 9 | 2017 | 42 | |
| 10 | 2016 | 187 | |
| 11 | 2015 | 204 | |
| 12 | 2014 | 197 | |
| 13 | 2008 | 472 | |
| 14 | 2006 | 368 | |
| 15 | Blimp1 is a critical determinant of the germ cell lineage in mice Hit paper breakdown → | 2005 | 789 |
| 16 | 2004 | 33 | |
| 17 | 2002 | 167 | |
| 18 | 2000 | 0 | |
| 19 | 1997 | 388 | |
| 20 | 1996 | 190 |
About Katia Ancelin
Katia Ancelin is a scholar working on Aging, Molecular Biology, Genetics, Physiology and Cancer Research, having authored 29 papers that have together received 3.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (13 papers), Pluripotent Stem Cells Research (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Cancer-related gene regulation (5 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (4 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Aging (185 citations), Molecular Biology (3.1k citations), Genetics (844 citations), Physiology (667 citations) and Cancer Research (271 citations). Katia Ancelin has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include M. Azim Surani, Petra Hájková, Ulrike C. Lange, Robert Schneider, Christine Brun, Mitinori Saitou, Bernhard Payer, Édith Heard, Yukiko Ono and Tetyana V. Obukhanych. Their work appears in journals such as Nature Communications, Nature, Molecular Cell, BioEssays and Cold Spring Harbor Symposia on Quantitative 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.