Mark Woodbridge
Impact in
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- Neurobiology and Insect Physiology Research
Papers in
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- Genomics and Phylogenetic Studies 2
- Biomedical Text Mining and Ontologies 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Molecular Biology Techniques and Applications 1
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- Scientific Computing and Data Management 2
- Co-authors
- P.G. McLaren (1 shared paper)Xavier Watkins (1 shared paper)Tom Riley (1 shared paper)Richard Smith (1 shared paper)Hilde Janssens (1 shared paper)Andrew Varley (1 shared paper)Kathryn S. Lilley (1 shared paper)Matthew N. Wakeling (1 shared paper)
- Journals
- Genome biology (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Journal of Digital Imaging (1 paper)Genes (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomJapan
In The Last Decade
Mark Woodbridge
6 papers receiving 308 citations
Peers
Comparison fields: 5 of 66
- Aging 18
- Cellular and Molecular Neuroscience 63
- Molecular Biology 211
- Insect Science 29
- Genetics 57
Countries citing papers authored by Mark Woodbridge
This map shows the geographic impact of Mark Woodbridge'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 Woodbridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Woodbridge more than expected).
Fields of papers citing papers by Mark Woodbridge
This network shows the impact of papers produced by Mark Woodbridge. 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 Woodbridge. The network helps show where Mark Woodbridge may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Woodbridge, 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 | 2007 | 276 | |
| 2 | 2013 | 15 | |
| 3 | 2013 | 14 | |
| 4 | 2012 | 5 | |
| 5 | 2012 | 1 | |
| 6 | 2012 | 1 |
About Mark Woodbridge
Mark Woodbridge is a scholar working on Molecular Biology, Information Systems and Management, Artificial Intelligence, Biophysics and Computer Networks and Communications, having authored 6 papers that have together received 312 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), Cell Image Analysis Techniques (2 papers), Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Semantic Web and Ontologies (1 paper), Advanced Data Storage Technologies (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Aging (18 citations), Cellular and Molecular Neuroscience (63 citations), Molecular Biology (211 citations), Insect Science (29 citations) and Genetics (57 citations). Mark Woodbridge has collaborated with scholars based in United Kingdom and Japan. Frequent co-authors include P.G. McLaren, Xavier Watkins, Tom Riley, Richard Smith, Hilde Janssens, Andrew Varley, Kathryn S. Lilley, Matthew N. Wakeling, Kenji Mizuguchi and Steven Russell. Their work appears in journals such as Genome biology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Digital Imaging, Genes and BMC Bioinformatics.
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.