Tom Weaver
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
-
- Antibiotic Resistance in Bacteria
Papers in
-
- Biomedical Text Mining and Ontologies 2
- Congenital heart defects research 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Genetics 3
- Genetic Associations and Epidemiology 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Timothy J. Mohun (3 shared papers)Nicholas D. E. Greene (3 shared papers)Jordan G. Kueneman (1 shared paper)Valerie J. McKenzie (1 shared paper)R. Mark Henkelman (1 shared paper)Rob Knight (1 shared paper)Gregory Humphrey (1 shared paper)Mark F. Lythgoe (1 shared paper)
- Journals
- Disease Models & Mechanisms (2 papers)Science (1 paper)Genetics (1 paper)mSystems (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Tom Weaver
10 papers receiving 289 citations
Peers
Comparison fields: 5 of 96
- Biophysics 26
- Molecular Medicine 18
- Genetics 72
- Geochemistry and Petrology 13
- Endocrinology 11
Countries citing papers authored by Tom Weaver
This map shows the geographic impact of Tom Weaver'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 Tom Weaver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Weaver more than expected).
Fields of papers citing papers by Tom Weaver
This network shows the impact of papers produced by Tom Weaver. 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 Tom Weaver. The network helps show where Tom Weaver may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Weaver, 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 | 2016 | 68 | |
| 2 | 2013 | 50 | |
| 3 | 2013 | 41 | |
| 4 | 2010 | 33 | |
| 5 | 2018 | 29 | |
| 6 | 2011 | 18 | |
| 7 | 2000 | 18 | |
| 8 | 2013 | 15 | |
| 9 | 2009 | 14 | |
| 10 | 2011 | 4 |
About Tom Weaver
Tom Weaver is a scholar working on Molecular Biology, Genetics, Computer Networks and Communications, Dermatology and Information Systems, having authored 10 papers that have together received 290 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Congenital heart defects research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Cell Image Analysis Techniques (1 paper), Genetic Associations and Epidemiology (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Biophysics (26 citations), Molecular Medicine (18 citations), Genetics (72 citations), Geochemistry and Petrology (13 citations) and Endocrinology (11 citations). Tom Weaver has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Timothy J. Mohun, Nicholas D. E. Greene, Jordan G. Kueneman, Valerie J. McKenzie, R. Mark Henkelman, Rob Knight, Gregory Humphrey, Mark F. Lythgoe, Se Jin Song and Michael D. Wong. Their work appears in journals such as Disease Models & Mechanisms, Science, Genetics, mSystems and Antimicrobial Agents and Chemotherapy.
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.