Anne Biton
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in ⓘ
-
- MicroRNA in disease regulation 3
- Co-authors
- Lin He (4 shared papers)Terence P. Speed (3 shared papers)John E. Wilkinson (2 shared papers)Noah Zaitlen (4 shared papers)Marcelo C. Ribeiro (1 shared paper)Hannes Vogel (1 shared paper)Chao‐Po Lin (1 shared paper)Andreas Keller (1 shared paper)
- Journals
- Genes & Development (2 papers)eLife (2 papers)Scientific Reports (1 paper)Cellular Microbiology (1 paper)Nature Communications (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Anne Biton
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 370
- Molecular Biology 856
- Aging 14
- Immunology 119
- Oncology 124
Countries citing papers authored by Anne Biton
This map shows the geographic impact of Anne Biton'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 Anne Biton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Biton more than expected).
Fields of papers citing papers by Anne Biton
This network shows the impact of papers produced by Anne Biton. 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 Anne Biton. The network helps show where Anne Biton may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Biton, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 246 | |
| 2 | 2014 | 117 | |
| 3 | 2018 | 101 | |
| 4 | 2020 | 86 | |
| 5 | 2020 | 85 | |
| 6 | 2013 | 63 | |
| 7 | 2021 | 61 | |
| 8 | 2021 | 52 | |
| 9 | 2019 | 49 | |
| 10 | 2019 | 46 | |
| 11 | 2017 | 42 | |
| 12 | 2010 | 39 | |
| 13 | 2021 | 34 | |
| 14 | 2017 | 32 | |
| 15 | 2021 | 28 | |
| 16 | 2019 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2013 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2019 | 10 |
About Anne Biton
Anne Biton is a scholar working on Microbiology, Cancer Research, Immunology, Ecological Modeling and Molecular Biology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), MicroRNA in disease regulation (3 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers), RNA modifications and cancer (3 papers), Bioinformatics and Genomic Networks (3 papers), Single-cell and spatial transcriptomics (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (370 citations), Molecular Biology (856 citations), Aging (14 citations), Immunology (119 citations) and Oncology (124 citations). Anne Biton has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Lin He, Terence P. Speed, John E. Wilkinson, Noah Zaitlen, Marcelo C. Ribeiro, Hannes Vogel, Chao‐Po Lin, Andreas Keller, Xingyue He and David M. Jablons. Their work appears in journals such as Genes & Development, eLife, Scientific Reports, Cellular Microbiology and Nature Communications.
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.