Steven Wiltshire
- Molecular Biology top 10%
- Genetics top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Biomedical Engineering
- Co-authors
- Mark I. McCarthyStephen F. KingsmoreBarry SchweitzerJérémy LambertZhengrong ZhuPaul M. LizardiDavid C. WardShawn O’Malley
- Topics
- Genetic Associations and Epidemiology (13 papers)Genetic Mapping and Diversity in Plants and Animals (6 papers)Genomic variations and chromosomal abnormalities (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Steven Wiltshire
39 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.0k
- Genetics 551
- Surgery 319
- Endocrinology, Diabetes and Metabolism 258
- Biomedical Engineering 254
Countries citing papers authored by Steven Wiltshire
This map shows the geographic impact of Steven Wiltshire'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 Steven Wiltshire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Wiltshire more than expected).
Fields of papers citing papers by Steven Wiltshire
This network shows the impact of papers produced by Steven Wiltshire. 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 Steven Wiltshire. The network helps show where Steven Wiltshire may publish in the future.
Co-authorship network of co-authors of Steven Wiltshire
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Wiltshire. A scholar is included among the top collaborators of Steven Wiltshire based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Wiltshire. Steven Wiltshire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 27 | |
| 3 | 29 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 31 | |
| 7 | 28 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | Large scale case-control and family-based analyses of TCF7L2 variants in > 6000 UK subjects demonstrates an almost two-fold difference in relative risk between homozygote classes | 1 |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 26 | |
| 14 | 48 | |
| 15 | 48 | |
| 16 | 60 | |
| 17 | 11 | |
| 18 | 135 | |
| 19 | 11 | |
| 20 | 8 |
About Steven Wiltshire
Steven Wiltshire is a scholar working on Genetics, Biological Psychiatry and Physiology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Genetics (551 citations), Endocrinology, Diabetes and Metabolism (258 citations) and Molecular Biology (1.0k citations). Steven Wiltshire has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Mark I. McCarthy, Stephen F. Kingsmore, Barry Schweitzer, Jérémy Lambert, Zhengrong Zhu, Paul M. Lizardi, David C. Ward, Shawn O’Malley, Andrew T. Hattersley and Timothy M. Frayling. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.