E.G. Smith
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
-
- Mosquito-borne diseases and control 3
-
- Vector-borne infectious diseases 3
- Co-authors
- Ulrich Desselberger (3 shared papers)I. D. Farrell (3 shared papers)E O Caul (3 shared papers)Ben Coupland (3 shared papers)Craig Baker‐Austin (1 shared paper)Christopher A. Reilly (1 shared paper)P.S. Burge (2 shared papers)Dominique Smith (2 shared papers)
- Journals
- Eurosurveillance (1 paper)Journal of Clinical Microbiology (1 paper)Respiratory Medicine (1 paper)The International Journal of Tuberculosis and Lung Disease (1 paper)PubMed (1 paper)
- Partner nations
- United KingdomVietnam
In The Last Decade
E.G. Smith
5 papers receiving 278 citations
Peers
Comparison fields: 5 of 58
- Parasitology 184
- Endocrinology 42
- Infectious Diseases 134
- Ecology, Evolution, Behavior and Systematics 84
- Public Health, Environmental and Occupational Health 58
Countries citing papers authored by E.G. Smith
This map shows the geographic impact of E.G. Smith'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 E.G. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.G. Smith more than expected).
Fields of papers citing papers by E.G. Smith
This network shows the impact of papers produced by E.G. Smith. 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 E.G. Smith. The network helps show where E.G. Smith may publish in the future.
Co-authors
The 21 scholars most cited alongside E.G. Smith, 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 | A large outbreak of Q fever in the West Midlands: windborne spread into a metropolitan area? | 1998 | 130 |
| 2 | 2011 | 64 | |
| 3 | 1992 | 47 | |
| 4 | 1993 | 46 | |
| 5 | 2016 | 6 |
About E.G. Smith
E.G. Smith is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Endocrinology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 5 papers that have together received 293 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (3 papers), Mosquito-borne diseases and control (3 papers), Tuberculosis Research and Epidemiology (1 paper), Vector-Borne Animal Diseases (1 paper), Herpesvirus Infections and Treatments (1 paper), Legionella and Acanthamoeba research (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Parasitology (184 citations), Endocrinology (42 citations), Infectious Diseases (134 citations), Ecology, Evolution, Behavior and Systematics (84 citations) and Public Health, Environmental and Occupational Health (58 citations). E.G. Smith has collaborated with scholars based in United Kingdom and Vietnam. Frequent co-authors include Ulrich Desselberger, I. D. Farrell, E O Caul, Ben Coupland, Craig Baker‐Austin, Christopher A. Reilly, P.S. Burge, Dominique Smith, Iain Blair and M.R. Evans. Their work appears in journals such as Eurosurveillance, Journal of Clinical Microbiology, Respiratory Medicine, The International Journal of Tuberculosis and Lung Disease and PubMed.
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.