Bethan Yates
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Biomedical Text Mining and Ontologies
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
Papers in
-
- Genomics and Phylogenetic Studies 6
- Biomedical Text Mining and Ontologies 4
- Bioinformatics and Genomic Networks 3
- Molecular Biology Techniques and Applications 3
- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 1
- Genetics 2
- Genomics and Rare Diseases 1
- Genetic diversity and population structure 1
- Co-authors
- Elspeth A. Bruford (6 shared papers)Kristian Gray (6 shared papers)Ruth L. Seal (5 shared papers)Susan Tweedie (4 shared papers)Bryony Braschi (4 shared papers)Matt W. Wright (1 shared paper)Tamsin E. M. Jones (4 shared papers)Paul Denny (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Briefings in Bioinformatics (1 paper)Current Genetics (1 paper)Genome biology (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Bethan Yates
7 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 200
- Molecular Biology 716
- Genetics 169
- Computational Theory and Mathematics 63
- Aging 6
Countries citing papers authored by Bethan Yates
This map shows the geographic impact of Bethan Yates'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 Bethan Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bethan Yates more than expected).
Fields of papers citing papers by Bethan Yates
This network shows the impact of papers produced by Bethan Yates. 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 Bethan Yates. The network helps show where Bethan Yates may publish in the future.
Co-authors
The 13 scholars most cited alongside Bethan Yates, 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 | 2014 | 370 | |
| 2 | 2016 | 233 | |
| 3 | 2018 | 221 | |
| 4 | 2020 | 217 | |
| 5 | 2008 | 38 | |
| 6 | 2021 | 27 | |
| 7 | 2023 | 7 |
About Bethan Yates
Bethan Yates is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers), Molecular Biology Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Rare Diseases (1 paper), Genetic diversity and population structure (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (200 citations), Molecular Biology (716 citations), Genetics (169 citations), Computational Theory and Mathematics (63 citations) and Aging (6 citations). Bethan Yates has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Elspeth A. Bruford, Kristian Gray, Ruth L. Seal, Susan Tweedie, Bryony Braschi, Matt W. Wright, Tamsin E. M. Jones, Paul Denny, Gary A. Payne and Dominique Robertson. Their work appears in journals such as Nucleic Acids Research, Briefings in Bioinformatics, Current Genetics and Genome 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.