Davey Mitchell Smith
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Infectious Diseases top 0.02%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
- COVID-19 Clinical Research Studies
Papers in
- Virology 124
- HIV Research and Treatment 122
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- HIV/AIDS Research and Interventions 51
- SARS-CoV-2 and COVID-19 Research 44
- HIV/AIDS drug development and treatment 34
- COVID-19 Clinical Research Studies 15
- Co-authors
- Susan J. Little (111 shared papers)Douglas D. Richman (83 shared papers)Sergei L. Kosakovsky Pond (48 shared papers)Sara Gianella (82 shared papers)Stephen A. Rawlings (16 shared papers)John W. Ayers (21 shared papers)Aaron F. Carlin (9 shared papers)Eric Craig Leas (12 shared papers)
- Journals
- The Journal of Infectious Diseases (38 papers)Clinical Infectious Diseases (33 papers)AIDS (29 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (19 papers)AIDS Research and Human Retroviruses (19 papers)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Davey Mitchell Smith
419 papers receiving 28.4k citations
Davey Mitchell Smith's Hit Papers
Peers
Comparison fields: 5 of 153
- Virology 4.6k
- Infectious Diseases 12.1k
- Health Informatics 1.1k
- Modeling and Simulation 198
- Ecology 784
Countries citing papers authored by Davey Mitchell Smith
This map shows the geographic impact of Davey Mitchell 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 Mitchell 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 Mitchell Smith more than expected).
Fields of papers citing papers by Davey Mitchell Smith
This network shows the impact of papers produced by Davey Mitchell 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 Mitchell Smith. The network helps show where Davey Mitchell Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Davey Mitchell 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
Showing the 20 most-cited of 436 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals Hit paper breakdown → | 2020 | 2871 |
| 2 | Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection Hit paper breakdown → | 2021 | 2037 |
| 3 | Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum Hit paper breakdown → | 2023 | 1606 |
| 4 | Antigen-Specific Adaptive Immunity to SARS-CoV-2 in Acute COVID-19 and Associations with Age and Disease Severity Hit paper breakdown → | 2020 | 1437 |
| 5 | Development and Use of Personalized Bacteriophage-Based Therapeutic Cocktails To Treat a Patient with a Disseminated Resistant Acinetobacter baumannii Infection Hit paper breakdown → | 2017 | 1027 |
| 6 | 2020 | 1010 | |
| 7 | 2020 | 893 | |
| 8 | Impact of SARS-CoV-2 variants on the total CD4+ and CD8+ T cell reactivity in infected or vaccinated individuals Hit paper breakdown → | 2021 | 580 |
| 9 | Antiretroviral Drugs for Treatment and Prevention of HIV Infection in Adults Hit paper breakdown → | 2016 | 563 |
| 10 | Antiretroviral Drugs for Treatment and Prevention of HIV Infection in Adults Hit paper breakdown → | 2018 | 559 |
| 11 | Gene-Wide Identification of Episodic Selection Hit paper breakdown → | 2015 | 440 |
| 12 | Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases Hit paper breakdown → | 2021 | 435 |
| 13 | 2014 | 420 | |
| 14 | Antiretroviral Drugs for Treatment and Prevention of HIV Infection in Adults Hit paper breakdown → | 2022 | 398 |
| 15 | Sensitivity in Detection of Antibodies to Nucleocapsid and Spike Proteins of Severe Acute Respiratory Syndrome Coronavirus 2 in Patients With Coronavirus Disease 2019 Hit paper breakdown → | 2020 | 382 |
| 16 | 2020 | 360 | |
| 17 | 2013 | 292 | |
| 18 | 2005 | 288 | |
| 19 | 2014 | 255 | |
| 20 | 2020 | 232 |
About Davey Mitchell Smith
Davey Mitchell Smith is a scholar working on Virology, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Health, having authored 436 papers that have together received 29.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (122 papers), HIV/AIDS Research and Interventions (51 papers), SARS-CoV-2 and COVID-19 Research (44 papers), HIV/AIDS drug development and treatment (34 papers), Ethics in Clinical Research (16 papers), COVID-19 Clinical Research Studies (15 papers), Hepatitis B Virus Studies (7 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Virology (4.6k citations), Infectious Diseases (12.1k citations), Health Informatics (1.1k citations), Modeling and Simulation (198 citations) and Ecology (784 citations). Davey Mitchell Smith has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Susan J. Little, Douglas D. Richman, Sergei L. Kosakovsky Pond, Sara Gianella, Stephen A. Rawlings, John W. Ayers, Aaron F. Carlin, Eric Craig Leas, Mark H. Dredze and Joel O. Wertheim. Their work appears in journals such as The Journal of Infectious Diseases, Clinical Infectious Diseases, AIDS, JAIDS Journal of Acquired Immune Deficiency Syndromes and AIDS Research and Human Retroviruses.
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.