David Osumi-Sutherland
Impact in
- Aging top 5%
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Biomedical Text Mining and Ontologies 25
- Bioinformatics and Genomic Networks 19
- Genomics and Phylogenetic Studies 7
- Single-cell and spatial transcriptomics 2
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- Semantic Web and Ontologies 8
- Co-authors
- Susan Tweedie (3 shared papers)Gillian Millburn (3 shared papers)Peter McQuilton (2 shared papers)Steven J Marygold (2 shared papers)Kathleen Falls (2 shared papers)H. Zhang (1 shared paper)Alice Schroeder (1 shared paper)Paul Leyland (1 shared paper)
- Journals
- Journal of Biomedical Semantics (8 papers)BMC Bioinformatics (3 papers)Bioinformatics (3 papers)Nature (2 papers)Scientific Data (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
David Osumi-Sutherland
37 papers receiving 1.3k citations
David Osumi-Sutherland's Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 43
- Biophysics 98
- Molecular Biology 954
- Cellular and Molecular Neuroscience 212
- Genetics 254
Countries citing papers authored by David Osumi-Sutherland
This map shows the geographic impact of David Osumi-Sutherland'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 David Osumi-Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Osumi-Sutherland more than expected).
Fields of papers citing papers by David Osumi-Sutherland
This network shows the impact of papers produced by David Osumi-Sutherland. 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 David Osumi-Sutherland. The network helps show where David Osumi-Sutherland may publish in the future.
Co-authors
The 25 scholars most cited alongside David Osumi-Sutherland, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FlyBase: enhancing Drosophila Gene Ontology annotations Hit paper breakdown → | 2008 | 597 |
| 2 | 2016 | 158 | |
| 3 | 2011 | 79 | |
| 4 | 2019 | 67 | |
| 5 | 2013 | 51 | |
| 6 | 2018 | 33 | |
| 7 | 2016 | 32 | |
| 8 | 2014 | 28 | |
| 9 | 2017 | 27 | |
| 10 | 2014 | 27 | |
| 11 | 2012 | 25 | |
| 12 | 2013 | 16 | |
| 13 | 2013 | 16 | |
| 14 | 2015 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2018 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2016 | 9 | |
| 19 | 2014 | 8 | |
| 20 | Virtual Fly Brain - Using OWL to support the mapping and genetic dissection of the Drosophila brain. | 2014 | 8 |
About David Osumi-Sutherland
David Osumi-Sutherland is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Biophysics and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Bioinformatics and Genomic Networks (19 papers), Semantic Web and Ontologies (8 papers), Genomics and Phylogenetic Studies (7 papers), Cell Image Analysis Techniques (5 papers), Neurobiology and Insect Physiology Research (3 papers), Genomics and Rare Diseases (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Aging (43 citations), Biophysics (98 citations), Molecular Biology (954 citations), Cellular and Molecular Neuroscience (212 citations) and Genetics (254 citations). David Osumi-Sutherland has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Susan Tweedie, Gillian Millburn, Peter McQuilton, Steven J Marygold, Kathleen Falls, H. Zhang, Alice Schroeder, Paul Leyland, Michael Ashburner and Ruth L. Seal. Their work appears in journals such as Journal of Biomedical Semantics, BMC Bioinformatics, Bioinformatics, Nature and Scientific Data.
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.