Kate A. Warner
Impact in
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA modifications and cancer
- RNA Research and Splicing
- Genetics top 2%
Papers in
-
- Genomics and Phylogenetic Studies 7
- Biomedical Text Mining and Ontologies 4
- Machine Learning in Bioinformatics 3
- Bioinformatics and Genomic Networks 3
- CRISPR and Genetic Engineering 1
-
- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Michael W. Frohlich (2 shared papers)Paula J. Rudall (2 shared papers)Michele Magrane (2 shared papers)Klemens Pichler (1 shared paper)Steven J Marygold (1 shared paper)Masamitsu Yamaguchi (1 shared paper)Maria Francesca Berloco (1 shared paper)Yikang S. Rong (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Bioinformatics (2 papers)Glycobiology (1 paper)Fly (1 paper)Journal of Experimental Botany (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Kate A. Warner
13 papers receiving 13.5k citations
Kate A. Warner's Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Biology 7.9k
- Genetics 1.3k
- Aging 85
- Cancer Research 630
- Computational Theory and Mathematics 791
Countries citing papers authored by Kate A. Warner
This map shows the geographic impact of Kate A. Warner'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 Kate A. Warner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate A. Warner more than expected).
Fields of papers citing papers by Kate A. Warner
This network shows the impact of papers produced by Kate A. Warner. 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 Kate A. Warner. The network helps show where Kate A. Warner may publish in the future.
Co-authors
The 20 scholars most cited alongside Kate A. Warner, 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 | UniProt: the universal protein knowledgebase in 2021 Hit paper breakdown → | 2020 | 4788 |
| 2 | UniProt: the Universal Protein Knowledgebase in 2023 Hit paper breakdown → | 2022 | 3877 |
| 3 | The Gene Ontology resource: enriching a GOld mine Hit paper breakdown → | 2020 | 2404 |
| 4 | The Gene Ontology knowledgebase in 2023 Hit paper breakdown → | 2023 | 1509 |
| 5 | UniProt: the Universal Protein Knowledgebase in 2025 Hit paper breakdown → | 2024 | 738 |
| 6 | Annotation of biologically relevant ligands in UniProtKB using ChEBI Hit paper breakdown → | 2022 | 193 |
| 7 | 2020 | 54 | |
| 8 | 2009 | 28 | |
| 9 | 2008 | 19 | |
| 10 | 2025 | 12 | |
| 11 | 2018 | 12 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 |
About Kate A. Warner
Kate A. Warner is a scholar working on Molecular Biology, Spectroscopy, Aging, Ecology, Evolution, Behavior and Systematics and Computational Theory and Mathematics, having authored 15 papers that have together received 13.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Biomedical Text Mining and Ontologies (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (3 papers), Bioinformatics and Genomic Networks (3 papers), Plant and animal studies (2 papers), Plant Diversity and Evolution (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (7.9k citations), Genetics (1.3k citations), Aging (85 citations), Cancer Research (630 citations) and Computational Theory and Mathematics (791 citations). Kate A. Warner has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Michael W. Frohlich, Paula J. Rudall, Michele Magrane, Klemens Pichler, Steven J Marygold, Masamitsu Yamaguchi, Maria Francesca Berloco, Yikang S. Rong, Helen Attrill and Sue Cotterill. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Glycobiology, Fly and Journal of Experimental Botany.
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.