Mark D. Wilkinson
- Information Systems and Management top 0.5%
- Scientific Computing and Data Management 37
- Information Systems top 1%
- Research Data Management Practices 23
- Neurology top 5%
- Molecular Biology top 5%
- Biomedical Text Mining and Ontologies 28
- Genomics and Phylogenetic Studies 17
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- Data Quality and Management 7
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- Semantic Web and Ontologies 23
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- Genomics and Rare Diseases 7
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- Plant Molecular Biology Research 6
- Co-authors
- Michel DumontierLuiz Olavo Bonino da Silva SantosGeorge W. HaughnBenjamin M. GoodBenjamin P. VandervalkBarend MonsJan VelteropCameron Neylon
- Journals
- Journal of Biomedical Semantics (7 papers)Bioinformatics (5 papers)BMC Bioinformatics (5 papers)
- Partner nations
- SpainCanadaUnited States
In The Last Decade
Mark D. Wilkinson
101 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 185
- Information Systems and Management 694
- Information Systems 652
- Neurology 309
- Molecular Biology 1.3k
- Management Science and Operations Research 190
Countries citing papers authored by Mark D. Wilkinson
This map shows the geographic impact of Mark D. Wilkinson'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 Mark D. Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Wilkinson more than expected).
Fields of papers citing papers by Mark D. Wilkinson
This network shows the impact of papers produced by Mark D. Wilkinson. 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 Mark D. Wilkinson. The network helps show where Mark D. Wilkinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark D. Wilkinson, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 40 | |
| 12 | 2019 | 81 | |
| 13 | 2019 | 17 | |
| 14 | 2018 | 10 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 130 | |
| 18 | 2018 | 6 | |
| 19 | First record of predation on the caecilian Microcaecilia unicolor (Duméril, 1863) | 2018 | 1 |
| 20 | Plant-Pathogen Interactions Ontology (PPIO) | 2013 | 5 |
About Mark D. Wilkinson
Mark D. Wilkinson is a scholar working on Information Systems and Management, Information Systems and Health Information Management, having authored 111 papers that have together received 3.2k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (37 papers), Biomedical Text Mining and Ontologies (28 papers), Research Data Management Practices (23 papers), Semantic Web and Ontologies (23 papers), Genomics and Phylogenetic Studies (17 papers), Genomics and Rare Diseases (7 papers), Data Quality and Management (7 papers) and Plant Molecular Biology Research (6 papers). The work is most often cited by research in Information Systems and Management (694 citations), Information Systems (652 citations) and Neurology (309 citations). Mark D. Wilkinson has collaborated with scholars based in Spain, Canada and United States. Frequent co-authors include Michel Dumontier, Luiz Olavo Bonino da Silva Santos, George W. Haughn, Benjamin M. Good, Benjamin P. Vandervalk, Barend Mons, Jan Velterop, Cameron Neylon, Julian W. Gardner and Evor L. Hines. Their work appears in journals such as Journal of Biomedical Semantics, Bioinformatics, BMC Bioinformatics, Systematic Biology 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.