Gavin Sherlock
Impact in
- Molecular Biology top 0.02%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Biomedical Text Mining and Ontologies
- Cancer Research top 0.1%
Papers in
-
- Fungal and yeast genetics research 38
- Bioinformatics and Genomic Networks 30
- Gene expression and cancer classification 25
- Genomics and Phylogenetic Studies 23
- CRISPR and Genetic Engineering 10
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- Antifungal resistance and susceptibility 19
- Co-authors
- David BotsteinJ. Michael CherryCatherine A. BallJohn C. MateseSelina S. DwightKara DolinskiMidori A. HarrisMartin Ringwald
- Journals
- Nucleic Acids Research (17 papers)PLoS Genetics (12 papers)Genome Research (8 papers)BMC Bioinformatics (6 papers)Genetics (4 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Gavin Sherlock
125 papers receiving 48.1k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Molecular Biology 35.0k
- Cancer Research 4.6k
- Aging 512
- Genetics 6.3k
- Plant Science 5.4k
Countries citing papers authored by Gavin Sherlock
This map shows the geographic impact of Gavin Sherlock'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 Gavin Sherlock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Sherlock more than expected).
Fields of papers citing papers by Gavin Sherlock
This network shows the impact of papers produced by Gavin Sherlock. 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 Gavin Sherlock. The network helps show where Gavin Sherlock may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gavin Sherlock, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 53 | |
| 10 | 2019 | 25 | |
| 11 | 2016 | 106 | |
| 12 | 2016 | 30 | |
| 13 | Quantitative evolutionary dynamics of one million barcoded lineages | 2015 | 1 |
| 14 | 2012 | 163 | |
| 15 | 2010 | 140 | |
| 16 | 2009 | 51 | |
| 17 | 2008 | 224 | |
| 18 | 2006 | 17 | |
| 19 | Missing value estimation methods for DNA microarrays Hit paper breakdown → | 2001 | 2794 |
| 20 | 1993 | 20 |
About Gavin Sherlock
Gavin Sherlock is a scholar working on Molecular Biology, Infectious Diseases, Aging, Food Science and Periodontics, having authored 127 papers that have together received 49.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (38 papers), Bioinformatics and Genomic Networks (30 papers), Evolution and Genetic Dynamics (26 papers), Gene expression and cancer classification (25 papers), Genomics and Phylogenetic Studies (23 papers), Antifungal resistance and susceptibility (19 papers), Fermentation and Sensory Analysis (13 papers) and CRISPR and Genetic Engineering (10 papers). The work is most often cited by research in Molecular Biology (35.0k citations), Cancer Research (4.6k citations), Aging (512 citations), Genetics (6.3k citations) and Plant Science (5.4k citations). Gavin Sherlock has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David Botstein, J. Michael Cherry, Catherine A. Ball, John C. Matese, Selina S. Dwight, Kara Dolinski, Midori A. Harris, Martin Ringwald, H. Butler and Judith A. Blake. Their work appears in journals such as Nucleic Acids Research, PLoS Genetics, Genome Research, BMC Bioinformatics and Genetics.
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.