John Webster
- Genetics top 10%
- Small Animals top 1%
- Molecular Biology
- Animal Science and Zoology top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Bruce WhitelawElizabeth TonnerDavid J. FlintGordon J. AllanJames BeattieMICHAEL C. BARBERAnthea SpringbettJohn A. Clark
- Topics
- Animal Genetics and Reproduction (10 papers)Animal Behavior and Welfare Studies (7 papers)Virus-based gene therapy research (5 papers)
- Partner nations
- United KingdomItalyAustralia
In The Last Decade
John Webster
38 papers receiving 644 citations
Peers
Comparison fields: 5 of 115
- Genetics 316
- Small Animals 255
- Molecular Biology 219
- Animal Science and Zoology 121
- Endocrinology, Diabetes and Metabolism 76
Countries citing papers authored by John Webster
This map shows the geographic impact of John Webster'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 John Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Webster more than expected).
Fields of papers citing papers by John Webster
This network shows the impact of papers produced by John Webster. 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 John Webster. The network helps show where John Webster may publish in the future.
Co-authorship network of co-authors of John Webster
This figure shows the co-authorship network connecting the top 25 collaborators of John Webster. A scholar is included among the top collaborators of John Webster 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 John Webster. John Webster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 56 | |
| 3 | 17 | |
| 4 | 10 | |
| 5 | Management and welfare of farm animals: UFAW Farm Handbook. | 24 |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 28 | |
| 9 | Association between variants of the human GSTM gene family and hypertension | 1 |
| 10 | 31 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 15 | |
| 15 | 19 | |
| 16 | The white devil ; The Duchess of Malfi | 0 |
| 17 | 50 | |
| 18 | The selected plays of John Webster | 1 |
| 19 | Three plays : The white devil, The Duchess of Malfi [and] The devil's law-case. | 3 |
| 20 | John Webster and Cyril Tourneur : (four plays) | 1 |
About John Webster
John Webster is a scholar working on Small Animals, Equine and Genetics, having authored 48 papers that have together received 698 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (10 papers), Animal Behavior and Welfare Studies (7 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Equine (66 citations), Small Animals (255 citations) and Animal Science and Zoology (121 citations). John Webster has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Bruce Whitelaw, Elizabeth Tonner, David J. Flint, Gordon J. Allan, James Beattie, MICHAEL C. BARBER, Anthea Springbett, John A. Clark, R M Wallace and Herwig Grimm. Their work appears in journals such as Development, Journal of Virology and Biochemical and Biophysical Research Communications.
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.