Andy Jenkinson
Impact in
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- Scientific Computing and Data Management
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- Biomedical Text Mining and Ontologies 4
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
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- Scientific Computing and Data Management 4
- Co-authors
- Ewan Birney (2 shared papers)Simon Jupp (2 shared papers)Nicole Redaschi (2 shared papers)James Malone (2 shared papers)Mark Davies (2 shared papers)Sarala Wimalaratne (2 shared papers)Helen Parkinson (2 shared papers)Marco Brandizi (2 shared papers)
- Journals
- Bioinformatics (3 papers)BMC Bioinformatics (2 papers)PLoS ONE (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)
- Partner nations
- United KingdomSwitzerlandSouth Africa
In The Last Decade
Andy Jenkinson
8 papers receiving 236 citations
Peers
Comparison fields: 5 of 58
- Information Systems and Management 40
- Molecular Biology 196
- Artificial Intelligence 59
- Computational Theory and Mathematics 29
- Health Informatics 2
Countries citing papers authored by Andy Jenkinson
This map shows the geographic impact of Andy Jenkinson'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 Andy Jenkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Jenkinson more than expected).
Fields of papers citing papers by Andy Jenkinson
This network shows the impact of papers produced by Andy Jenkinson. 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 Andy Jenkinson. The network helps show where Andy Jenkinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Andy Jenkinson, 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 | 2014 | 143 | |
| 2 | 2008 | 66 | |
| 3 | 2009 | 11 | |
| 4 | 2007 | 8 | |
| 5 | 2015 | 7 | |
| 6 | 2013 | 5 | |
| 7 | 2011 | 3 | |
| 8 | 2012 | 1 |
About Andy Jenkinson
Andy Jenkinson is a scholar working on Molecular Biology, Information Systems and Management, Information Systems, Artificial Intelligence and Genetics, having authored 8 papers that have together received 244 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (4 papers), Biomedical Text Mining and Ontologies (4 papers), Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (2 papers), Semantic Web and Ontologies (2 papers), Gene expression and cancer classification (2 papers), Research Data Management Practices (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Information Systems and Management (40 citations), Molecular Biology (196 citations), Artificial Intelligence (59 citations), Computational Theory and Mathematics (29 citations) and Health Informatics (2 citations). Andy Jenkinson has collaborated with scholars based in United Kingdom, Switzerland and South Africa. Frequent co-authors include Ewan Birney, Simon Jupp, Nicole Redaschi, James Malone, Mark Davies, Sarala Wimalaratne, Helen Parkinson, Marco Brandizi, María Martin and Nicolas Le Novère. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, PLoS ONE and Zenodo (CERN European Organization for Nuclear Research).
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.