Davey M. Smith
Impact in
- Virology top 0.05%
- HIV Research and Treatment
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
Papers in
- Virology 201
- HIV Research and Treatment 199
-
- HIV/AIDS Research and Interventions 162
- HIV/AIDS drug development and treatment 79
- SARS-CoV-2 and COVID-19 Research 28
- COVID-19 Clinical Research Studies 22
- Co-authors
- Susan J. LittleDouglas D. RichmanSergei L. Kosakovsky PondJoel O. WertheimSara GianellaStephen A. RawlingsAaron F. CarlinKonrad Scheffler
- Journals
- AIDS (28 papers)Clinical Infectious Diseases (27 papers)The Journal of Infectious Diseases (21 papers)AIDS Research and Human Retroviruses (17 papers)Journal of Virology (17 papers)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Davey M. Smith
338 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Virology 6.5k
- Health Informatics 837
- Infectious Diseases 9.6k
- Emergency Medicine 1.4k
- Epidemiology 3.7k
Countries citing papers authored by Davey M. Smith
This map shows the geographic impact of Davey M. 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 Davey M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davey M. Smith more than expected).
Fields of papers citing papers by Davey M. Smith
This network shows the impact of papers produced by Davey M. 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 Davey M. Smith. The network helps show where Davey M. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Davey M. 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 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum Hit paper breakdown → | 2023 | 1184 |
| 5 | 2023 | 5 | |
| 6 | 2022 | 36 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 44 | |
| 12 | 2020 | 249 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 34 | |
| 15 | 2018 | 66 | |
| 16 | 2017 | 49 | |
| 17 | 2016 | 55 | |
| 18 | 2013 | 146 | |
| 19 | 2008 | 17 | |
| 20 | 2006 | 84 |
About Davey M. Smith
Davey M. Smith is a scholar working on Virology, Infectious Diseases, Epidemiology, Emergency Medicine and Hepatology, having authored 352 papers that have together received 16.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (199 papers), HIV/AIDS Research and Interventions (162 papers), HIV/AIDS drug development and treatment (79 papers), HIV, Drug Use, Sexual Risk (46 papers), SARS-CoV-2 and COVID-19 Research (28 papers), HIV-related health complications and treatments (27 papers), Cytomegalovirus and herpesvirus research (26 papers) and COVID-19 Clinical Research Studies (22 papers). The work is most often cited by research in Virology (6.5k citations), Health Informatics (837 citations), Infectious Diseases (9.6k citations), Emergency Medicine (1.4k citations) and Epidemiology (3.7k citations). Davey M. Smith has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Susan J. Little, Douglas D. Richman, Sergei L. Kosakovsky Pond, Joel O. Wertheim, Sara Gianella, Stephen A. Rawlings, Aaron F. Carlin, Konrad Scheffler, John W. Ayers and Ben Murrell. Their work appears in journals such as AIDS, Clinical Infectious Diseases, The Journal of Infectious Diseases, AIDS Research and Human Retroviruses and Journal of Virology.
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.