Stephen Pyecroft
Impact in
- Microbiology top 0.5%
- Microbial infections and disease research
- Small Animals top 2%
- Infectious Diseases and Mycology
Papers in ⓘ
-
- Veterinary Oncology Research 13
- Microbiology 10
- Microbial infections and disease research 10
- Co-authors
- Katherine Belov (8 shared papers)Alexandre Kreiss (3 shared papers)GM Woods (3 shared papers)Mark D. B. Eldridge (2 shared papers)Dane Hayes (4 shared papers)Richmond Loh (3 shared papers)Hannah V. Siddle (1 shared paper)Shane Raidal (2 shared papers)
- Journals
- Diseases of Aquatic Organisms (3 papers)PLoS ONE (3 papers)Veterinary Pathology (2 papers)Frontiers in Veterinary Science (1 paper)Marine Biology (1 paper)
- Partner nations
- AustraliaIranUnited States
In The Last Decade
Stephen Pyecroft
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Microbiology 468
- Small Animals 141
- Pulmonary and Respiratory Medicine 481
- Virology 65
- Parasitology 81
Countries citing papers authored by Stephen Pyecroft
This map shows the geographic impact of Stephen Pyecroft'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 Stephen Pyecroft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Pyecroft more than expected).
Fields of papers citing papers by Stephen Pyecroft
This network shows the impact of papers produced by Stephen Pyecroft. 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 Stephen Pyecroft. The network helps show where Stephen Pyecroft may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Pyecroft, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 277 | |
| 2 | 2007 | 213 | |
| 3 | 2006 | 116 | |
| 4 | 2005 | 76 | |
| 5 | 2007 | 66 | |
| 6 | 2006 | 60 | |
| 7 | 2012 | 59 | |
| 8 | 2007 | 41 | |
| 9 | 2010 | 40 | |
| 10 | 2001 | 27 | |
| 11 | 2012 | 26 | |
| 12 | 1997 | 24 | |
| 13 | 2013 | 22 | |
| 14 | 2013 | 18 | |
| 15 | 2012 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2008 | 12 | |
| 18 | 2015 | 6 | |
| 19 | 2009 | 4 | |
| 20 | 2020 | 4 |
About Stephen Pyecroft
Stephen Pyecroft is a scholar working on Pulmonary and Respiratory Medicine, Microbiology, Immunology, Genetics and Aquatic Science, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Veterinary Oncology Research (13 papers), Microbial infections and disease research (10 papers), Aquaculture disease management and microbiota (9 papers), Virus-based gene therapy research (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Aquaculture Nutrition and Growth (4 papers), Infectious Diseases and Mycology (3 papers) and Tumors and Oncological Cases (3 papers). The work is most often cited by research in Microbiology (468 citations), Small Animals (141 citations), Pulmonary and Respiratory Medicine (481 citations), Virology (65 citations) and Parasitology (81 citations). Stephen Pyecroft has collaborated with scholars based in Australia, Iran and United States. Frequent co-authors include Katherine Belov, Alexandre Kreiss, GM Woods, Mark D. B. Eldridge, Dane Hayes, Richmond Loh, Hannah V. Siddle, Shane Raidal, Candice Clarke and A. O'Hara. Their work appears in journals such as Diseases of Aquatic Organisms, PLoS ONE, Veterinary Pathology, Frontiers in Veterinary Science and Marine Biology.
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.