Stephen Leach
- Parasitology top 2%
- Vector-borne infectious diseases 6
- Infectious Diseases top 5%
- Viral Infections and Vectors 10
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 4
- Endocrinology top 10%
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- Mosquito-borne diseases and control 7
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- Salmonella and Campylobacter epidemiology 5
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- Influenza Virus Research Studies 3
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- Animal Nutrition and Physiology 3
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- Insect and Pesticide Research 2
- Co-authors
- Jolyon M. MedlockK. R. SnowIan HallPhilippa HarveyRamesh K. WaliRaymond GaniMaaike E. PietzschHelen E. Hughes
- Journals
- Epidemiology and Infection (8 papers)Journal of Applied Microbiology (3 papers)Journal of Medical Entomology (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Stephen Leach
35 papers receiving 815 citations
Peers
Comparison fields: 5 of 93
- Parasitology 247
- Infectious Diseases 489
- Modeling and Simulation 95
- Endocrinology 52
- Public Health, Environmental and Occupational Health 275
Countries citing papers authored by Stephen Leach
This map shows the geographic impact of Stephen Leach'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 Leach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Leach more than expected).
Fields of papers citing papers by Stephen Leach
This network shows the impact of papers produced by Stephen Leach. 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 Leach. The network helps show where Stephen Leach may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Leach, 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 | 2018 | 1 | |
| 2 | 2016 | 14 | |
| 3 | 2013 | 8 | |
| 4 | 2013 | 6 | |
| 5 | 2012 | 29 | |
| 6 | 2010 | 33 | |
| 7 | 2009 | 17 | |
| 8 | 2008 | 49 | |
| 9 | 2008 | 31 | |
| 10 | 2007 | 52 | |
| 11 | 2006 | 3 | |
| 12 | 2006 | 1 | |
| 13 | 2006 | 69 | |
| 14 | 2005 | 49 | |
| 15 | 2005 | 128 | |
| 16 | 1997 | 78 | |
| 17 | Xenon Isotopic Composition in Acid Residues of EL Taco Inclusions | 1994 | 2 |
| 18 | 1992 | 5 | |
| 19 | 1991 | 5 | |
| 20 | 1989 | 10 |
About Stephen Leach
Stephen Leach is a scholar working on Parasitology, Modeling and Simulation, Infectious Diseases, Filtration and Separation and Urban Studies, having authored 35 papers that have together received 869 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Mosquito-borne diseases and control (7 papers), Vector-borne infectious diseases (6 papers), Salmonella and Campylobacter epidemiology (5 papers), COVID-19 epidemiological studies (4 papers), Influenza Virus Research Studies (3 papers), Animal Nutrition and Physiology (3 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Parasitology (247 citations), Infectious Diseases (489 citations), Modeling and Simulation (95 citations), Endocrinology (52 citations) and Public Health, Environmental and Occupational Health (275 citations). Stephen Leach has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Jolyon M. Medlock, K. R. Snow, Ian Hall, Philippa Harvey, Ramesh K. Wali, Raymond Gani, Maaike E. Pietzsch, Helen E. Hughes, Linda D. Jones and M.A. Taylor. Their work appears in journals such as Epidemiology and Infection, Journal of Applied Microbiology, Journal of Medical Entomology, Medical and Veterinary Entomology and British Journal of Cancer.
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.