Tim Carver
- Information Systems and Management top 0.5%
- Scientific Computing and Data Management 4
- Endocrinology top 0.5%
- Molecular Medicine top 1%
- Microbiology top 1%
- Ecology top 2%
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- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 6
- Machine Learning in Bioinformatics 3
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- BRCA gene mutations in cancer 5
- Genetic Associations and Epidemiology 2
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- Global Cancer Incidence and Screening 4
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- Distributed and Parallel Computing Systems 3
- Co-authors
- Julian ParkhillMatthew BerrimanB. G. BarrellMarie‐Adèle RajandreamKim RutherfordAlan J. BleasbyJacqueline A. McQuillanSimon R. Harris
- Journals
- Bioinformatics (9 papers)Comparative and Functional Genomics (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Tim Carver
22 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Information Systems and Management 799
- Endocrinology 536
- Molecular Medicine 333
- Microbiology 379
- Ecology 1.0k
Countries citing papers authored by Tim Carver
This map shows the geographic impact of Tim Carver'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 Tim Carver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Carver more than expected).
Fields of papers citing papers by Tim Carver
This network shows the impact of papers produced by Tim Carver. 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 Tim Carver. The network helps show where Tim Carver may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tim Carver, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 0 | |
| 6 | 2020 | 44 | |
| 7 | 2020 | 70 | |
| 8 | BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factorsbreakdown → | 2019 | 386 |
| 9 | 2017 | 9 | |
| 10 | 2012 | 8 | |
| 11 | Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental databreakdown → | 2011 | 879 |
| 12 | 2010 | 55 | |
| 13 | 2009 | 29 | |
| 14 | 2008 | 465 | |
| 15 | DNAPlotter: circular and linear interactive genome visualizationbreakdown → | 2008 | 702 |
| 16 | ACT: the Artemis comparison toolbreakdown → | 2005 | 1274 |
| 17 | 2005 | 9 | |
| 18 | Taverna: a tool for the composition and enactment of bioinformatics workflowsbreakdown → | 2004 | 1013 |
| 19 | 2003 | 105 | |
| 20 | 2002 | 8 |
About Tim Carver
Tim Carver is a scholar working on Information Systems and Management, Genetics and Molecular Biology, having authored 24 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers), BRCA gene mutations in cancer (5 papers), Global Cancer Incidence and Screening (4 papers), Scientific Computing and Data Management (4 papers), Machine Learning in Bioinformatics (3 papers), Distributed and Parallel Computing Systems (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Information Systems and Management (799 citations), Endocrinology (536 citations) and Molecular Medicine (333 citations). Tim Carver has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Julian Parkhill, Matthew Berriman, B. G. Barrell, Marie‐Adèle Rajandream, Kim Rutherford, Alan J. Bleasby, Jacqueline A. McQuillan, Simon R. Harris, Nick Thomson and Tom Oinn. Their work appears in journals such as Bioinformatics, Comparative and Functional Genomics, British Journal of Cancer, Computer applications in the biosciences and JCO Precision Oncology.
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.