Ian Wilmut
Impact in
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- Reproductive Biology and Fertility
- Genetics top 1%
- Animal Genetics and Reproduction
Papers in
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- Pluripotent Stem Cells Research 41
- CRISPR and Genetic Engineering 22
- Renal and related cancers 17
- Epigenetics and DNA Methylation 7
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- Reproductive Biology and Fertility 34
- Co-authors
- Keith Campbell (9 shared papers)Angelika Schnieke (3 shared papers)Jane Taylor (10 shared papers)William A. Ritchie (7 shared papers)Paul A. De Sousa (15 shared papers)Alan Colman (3 shared papers)M. Ritchie (2 shared papers)Alexander Kind (2 shared papers)
- Journals
- Biology of Reproduction (9 papers)Proceedings of the National Academy of Sciences (4 papers)Theriogenology (3 papers)Nature Biotechnology (3 papers)Journal of Cell Science (3 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Ian Wilmut
94 papers receiving 4.9k citations
Ian Wilmut's Hit Papers
Peers
Comparison fields: 5 of 136
- Public Health, Environmental and Occupational Health 1.9k
- Genetics 1.7k
- Molecular Biology 3.8k
- Reproductive Medicine 428
- Genetics 293
Countries citing papers authored by Ian Wilmut
This map shows the geographic impact of Ian Wilmut'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 Ian Wilmut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Wilmut more than expected).
Fields of papers citing papers by Ian Wilmut
This network shows the impact of papers produced by Ian Wilmut. 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 Ian Wilmut. The network helps show where Ian Wilmut may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Wilmut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human Factor IX Transgenic Sheep Produced by Transfer of Nuclei from Transfected Fetal Fibroblasts Hit paper breakdown → | 1997 | 717 |
| 2 | 2009 | 346 | |
| 3 | 2000 | 296 | |
| 4 | 2013 | 280 | |
| 5 | 2012 | 270 | |
| 6 | 2004 | 200 | |
| 7 | 2010 | 196 | |
| 8 | 2013 | 190 | |
| 9 | 1999 | 182 | |
| 10 | 2011 | 170 | |
| 11 | 2002 | 152 | |
| 12 | 1988 | 109 | |
| 13 | 2004 | 108 | |
| 14 | 1995 | 98 | |
| 15 | 2001 | 88 | |
| 16 | 2000 | 83 | |
| 17 | 2011 | 76 | |
| 18 | 2002 | 72 | |
| 19 | 1993 | 65 | |
| 20 | 2003 | 63 |
About Ian Wilmut
Ian Wilmut is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Physiology and Surgery, having authored 99 papers that have together received 5.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (41 papers), Reproductive Biology and Fertility (34 papers), Animal Genetics and Reproduction (25 papers), CRISPR and Genetic Engineering (22 papers), Renal and related cancers (17 papers), Epigenetics and DNA Methylation (7 papers), Biomedical Ethics and Regulation (5 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.9k citations), Genetics (1.7k citations), Molecular Biology (3.8k citations), Reproductive Medicine (428 citations) and Genetics (293 citations). Ian Wilmut has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Keith Campbell, Angelika Schnieke, Jane Taylor, William A. Ritchie, Paul A. De Sousa, Alan Colman, M. Ritchie, Alexander Kind, Judy Fletcher and Angela Scott. Their work appears in journals such as Biology of Reproduction, Proceedings of the National Academy of Sciences, Theriogenology, Nature Biotechnology and Journal of Cell Science.
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.