R Salmon
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 18
- Antimicrobial Resistance in Staphylococcus 4
-
- Escherichia coli research studies 14
- Co-authors
- Daniel Thomas (21 shared papers)David Kay (4 shared papers)M.R. Evans (9 shared papers)Kimberley Cann (1 shared paper)A. P. Wyn-Jones (1 shared paper)Mark D. Wyer (4 shared papers)Jay M. Fleisher (3 shared papers)Alan Godfree (3 shared papers)
- Journals
- Epidemiology and Infection (18 papers)Emerging infectious diseases (9 papers)QJM (3 papers)Eurosurveillance (2 papers)Journal of Epidemiology & Community Health (2 papers)
- Partner nations
- United KingdomUnited StatesNepal
In The Last Decade
R Salmon
67 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 133
- Endocrinology 543
- Infectious Diseases 885
- Parasitology 274
- Water Science and Technology 424
- Food Science 476
Countries citing papers authored by R Salmon
This map shows the geographic impact of R Salmon'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 R Salmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Salmon more than expected).
Fields of papers citing papers by R Salmon
This network shows the impact of papers produced by R Salmon. 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 R Salmon. The network helps show where R Salmon may publish in the future.
Co-authors
The 25 scholars most cited alongside R Salmon, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 315 | |
| 2 | 1994 | 230 | |
| 3 | 1994 | 175 | |
| 4 | 1996 | 136 | |
| 5 | 2010 | 125 | |
| 6 | 2003 | 95 | |
| 7 | 1998 | 65 | |
| 8 | 2016 | 61 | |
| 9 | 1999 | 60 | |
| 10 | 2003 | 59 | |
| 11 | 2004 | 58 | |
| 12 | 2008 | 57 | |
| 13 | 1995 | 56 | |
| 14 | 2010 | 50 | |
| 15 | 1989 | 49 | |
| 16 | 2004 | 49 | |
| 17 | 2008 | 43 | |
| 18 | 2006 | 41 | |
| 19 | 1993 | 41 | |
| 20 | 1999 | 40 |
About R Salmon
R Salmon is a scholar working on Infectious Diseases, Endocrinology, Epidemiology, Food Science and Parasitology, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (18 papers), Escherichia coli research studies (14 papers), Salmonella and Campylobacter epidemiology (10 papers), Vector-borne infectious diseases (5 papers), Influenza Virus Research Studies (5 papers), Vector-Borne Animal Diseases (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Endocrinology (543 citations), Infectious Diseases (885 citations), Parasitology (274 citations), Water Science and Technology (424 citations) and Food Science (476 citations). R Salmon has collaborated with scholars based in United Kingdom, United States and Nepal. Frequent co-authors include Daniel Thomas, David Kay, M.R. Evans, Kimberley Cann, A. P. Wyn-Jones, Mark D. Wyer, Jay M. Fleisher, Alan Godfree, F. Jones and Geraldine A. Willshaw. Their work appears in journals such as Epidemiology and Infection, Emerging infectious diseases, QJM, Eurosurveillance and Journal of Epidemiology & Community Health.
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.