Ian Wilmut

7.6k citations
88 papers · 4.8k indexed · 1 hit paper · h-index 35

Ian Wilmut

87 papers receiving 4.5k citations

Hit Papers

Human Factor IX Transgenic Sheep Produced by Transfer of ...6511997202620062016200400600

Peers

Ian Wilmut
Comparison fields: 5 of 135
  • Public Health, Environmental and Occupational Health 1.8k
  • Genetics 1.6k
  • Reproductive Medicine 443
  • Molecular Biology 3.6k
  • Genetics 305
Replace Anne K. Voss with:
Anne K. Voss Australia
Miles Wilkinson United States
Mathias Treier Germany
Alexander Kind Germany
Shaorong Gao China
K. John McLaughlin United States
Masami Kanai‐Azuma Japan
Olivier Destrée Netherlands
J. McWhir United Kingdom
Jon W. Gordon United States
Ian Wilmut relative to Anne K. Voss Australia Anne K. Voss's profile →
Citations per field
00.5×2.8×
Anne K. Voss · 1×
Citations per year

Countries citing papers authored by Ian Wilmut

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Ian Wilmut Line = papers co-authored together Ian Wilmut links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2013173
2 2012257
3 201034
4 200920
5 200861
6 20078
7
After Dolly : the promise and perils of human cloning
20070
8 200648
9 20051
10 20057
11
The moral imperative for human cloning.
20043
12 2004188
13 200326
14 200326
15 200247
16 20011
17 199936
18 19991
19
The germline manipulation of livestock: progress during the past five years.
19906
20
Novel products from livestock.
198611

About Ian Wilmut

Ian Wilmut is a scholar working on Public Health, Environmental and Occupational Health, Aging, Genetics, Molecular Biology and Reproductive Medicine, having authored 88 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (37 papers), Reproductive Biology and Fertility (32 papers), Animal Genetics and Reproduction (20 papers), CRISPR and Genetic Engineering (19 papers), Renal and related cancers (18 papers), Epigenetics and DNA Methylation (6 papers), Biomedical Ethics and Regulation (5 papers) and 3D Printing in Biomedical Research (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.8k citations), Genetics (1.6k citations), Reproductive Medicine (443 citations), Molecular Biology (3.6k citations) and Genetics (305 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, Judy Fletcher, Alexander Kind and R. Webb. Their work appears in journals such as Biology of Reproduction, Proceedings of the National Academy of Sciences, Nature, Nature Biotechnology and Philosophical Transactions of the Royal Society B Biological Sciences.

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.

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