Peter McQuilton
Impact in
- Aging top 5%
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- Scientific Computing and Data Management
Papers in
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- Biomedical Text Mining and Ontologies 7
- Genomics and Phylogenetic Studies 6
- Bioinformatics and Genomic Networks 4
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- Research Data Management Practices 6
- Co-authors
- Susan E. St. Pierre (2 shared papers)Jim Thurmond (1 shared paper)Laura Ponting (3 shared papers)Ray Stefancsik (3 shared papers)Steven J Marygold (3 shared papers)Gillian Millburn (3 shared papers)Ruth L. Seal (2 shared papers)David Osumi-Sutherland (2 shared papers)
- Journals
- Database (4 papers)Nucleic Acids Research (3 papers)Data Intelligence (2 papers)PLoS Biology (1 paper)The Lancet Digital Health (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Peter McQuilton
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 70
- Information Systems and Management 197
- Cellular and Molecular Neuroscience 327
- Molecular Biology 1.1k
- Insect Science 140
Countries citing papers authored by Peter McQuilton
This map shows the geographic impact of Peter McQuilton'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 Peter McQuilton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter McQuilton more than expected).
Fields of papers citing papers by Peter McQuilton
This network shows the impact of papers produced by Peter McQuilton. 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 Peter McQuilton. The network helps show where Peter McQuilton may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter McQuilton, 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 | FlyBase: enhancing Drosophila Gene Ontology annotations Hit paper breakdown → | 2008 | 597 |
| 2 | 2011 | 303 | |
| 3 | 2013 | 241 | |
| 4 | 2019 | 150 | |
| 5 | 2008 | 92 | |
| 6 | 2019 | 81 | |
| 7 | 2014 | 47 | |
| 8 | 2016 | 46 | |
| 9 | 2014 | 32 | |
| 10 | 2008 | 31 | |
| 11 | 2013 | 16 | |
| 12 | 2006 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2009 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2012 | 7 | |
| 18 | 2019 | 2 | |
| 19 | 2021 | 2 |
About Peter McQuilton
Peter McQuilton is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Genomics and Phylogenetic Studies (6 papers), Research Data Management Practices (6 papers), Scientific Computing and Data Management (5 papers), Semantic Web and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers), Data Quality and Management (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (70 citations), Information Systems and Management (197 citations), Cellular and Molecular Neuroscience (327 citations), Molecular Biology (1.1k citations) and Insect Science (140 citations). Peter McQuilton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Susan E. St. Pierre, Jim Thurmond, Laura Ponting, Ray Stefancsik, Steven J Marygold, Gillian Millburn, Ruth L. Seal, David Osumi-Sutherland, Kathleen Falls and Susan Tweedie. Their work appears in journals such as Database, Nucleic Acids Research, Data Intelligence, PLoS Biology and The Lancet Digital Health.
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.