K. Shaw
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Viral gastroenteritis research and epidemiology 9
-
- Animal Virus Infections Studies 9
- Co-authors
- D. Cavanagh (9 shared papers)Paul Britton (8 shared papers)A. Adzhar (2 shared papers)C. J. Naylor (3 shared papers)Daniel T. Haydon (2 shared papers)R. Gough (2 shared papers)Zsolt Pénzes (2 shared papers)T. D. K. Brown (2 shared papers)
- Journals
- Advances in experimental medicine and biology (3 papers)Avian Pathology (3 papers)Desalination (2 papers)Virology (2 papers)Journal of Hepatology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
K. Shaw
15 papers receiving 369 citations
Peers
Comparison fields: 5 of 58
- Animal Science and Zoology 282
- Infectious Diseases 296
- Cardiology and Cardiovascular Medicine 61
- Water Science and Technology 34
- Epidemiology 82
Countries citing papers authored by K. Shaw
This map shows the geographic impact of K. Shaw'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 K. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Shaw more than expected).
Fields of papers citing papers by K. Shaw
This network shows the impact of papers produced by K. Shaw. 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 K. Shaw. The network helps show where K. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Shaw, 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 | 1997 | 105 | |
| 2 | 1994 | 63 | |
| 3 | 1997 | 55 | |
| 4 | 1998 | 39 | |
| 5 | 1969 | 28 | |
| 6 | 1993 | 27 | |
| 7 | 2009 | 24 | |
| 8 | Towards the routine application of nucleic acid technology for avian disease diagnosis. | 1997 | 19 |
| 9 | 2002 | 15 | |
| 10 | 1996 | 13 | |
| 11 | 2009 | 12 | |
| 12 | 1998 | 6 | |
| 13 | 2009 | 5 | |
| 14 | 2017 | 3 | |
| 15 | 1998 | 1 |
About K. Shaw
K. Shaw is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Water Science and Technology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 415 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Virus-based gene therapy research (4 papers), Membrane Separation Technologies (3 papers), Viral Infections and Immunology Research (2 papers), Plant Virus Research Studies (2 papers), Urban Stormwater Management Solutions (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Animal Science and Zoology (282 citations), Infectious Diseases (296 citations), Cardiology and Cardiovascular Medicine (61 citations), Water Science and Technology (34 citations) and Epidemiology (82 citations). K. Shaw has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include D. Cavanagh, Paul Britton, A. Adzhar, C. J. Naylor, Daniel T. Haydon, R. Gough, Zsolt Pénzes, T. D. K. Brown, Xudong Zhao and K. Mawditt. Their work appears in journals such as Advances in experimental medicine and biology, Avian Pathology, Desalination, Virology and Journal of Hepatology.
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.