J. Smith
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Influenza Virus Research Studies 3
-
- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Hilary E. Tillett (2 shared papers)Robert L. Cohen (2 shared papers)Robin Isaacs (2 shared papers)D. A. J. Tyrrell (1 shared paper)A. Clinton White (1 shared paper)Andrew E. Williams (1 shared paper)MP Busch (1 shared paper)MM Regan (1 shared paper)
- Journals
- Cancer Research (3 papers)International Journal of Epidemiology (2 papers)The Lancet (1 paper)British Medical Bulletin (1 paper)BMJ (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
J. Smith
11 papers receiving 316 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 47
- Modeling and Simulation 35
- Infectious Diseases 94
- Epidemiology 149
- Clinical Biochemistry 28
Countries citing papers authored by J. Smith
This map shows the geographic impact of J. 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 J. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Smith more than expected).
Fields of papers citing papers by J. Smith
This network shows the impact of papers produced by J. 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 J. Smith. The network helps show where J. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 | 1983 | 122 | |
| 2 | Ciprofloxacin resistance in epidemic methicillin-resistant Staphylococcus aureus. | 1988 | 60 |
| 3 | 1977 | 43 | |
| 4 | 1977 | 35 | |
| 5 | 1988 | 32 | |
| 6 | 1976 | 19 | |
| 7 | 1979 | 17 | |
| 8 | Demographic characteristics, unreported risk behaviors, and the prevalence and incidence of viral infections in US blood donors, 1991-1996. Retrovirus Epidemiol Donor Study | 1998 | 12 |
| 9 | 2017 | 8 | |
| 10 | Antistaphylococcal activity of penicillin P-12. (5-Methyl-3-phenyl-4-isoxazolyl penicillin). | 1962 | 3 |
| 11 | 2016 | 1 | |
| 12 | 2012 | 0 |
About J. Smith
J. Smith is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Ophthalmology and Health, Toxicology and Mutagenesis, having authored 12 papers that have together received 352 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Advanced Breast Cancer Therapies (2 papers), Essential Oils and Antimicrobial Activity (2 papers), Ocular Infections and Treatments (2 papers), Climate Change and Health Impacts (2 papers), Cancer Treatment and Pharmacology (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Molecular Medicine (47 citations), Modeling and Simulation (35 citations), Infectious Diseases (94 citations), Epidemiology (149 citations) and Clinical Biochemistry (28 citations). J. Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Hilary E. Tillett, Robert L. Cohen, Robin Isaacs, D. A. J. Tyrrell, A. Clinton White, Andrew E. Williams, MP Busch, MM Regan, MC Liu and P. Kelly Marcom. Their work appears in journals such as Cancer Research, International Journal of Epidemiology, The Lancet, British Medical Bulletin and BMJ.
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.