Tao Dong
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Immunology top 0.2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 82
- HIV Research and Treatment 80
- Immunology 147
- Immune Cell Function and Interaction 106
- T-cell and B-cell Immunology 52
- Immunotherapy and Immune Responses 26
- Immune Response and Inflammation 16
- Co-authors
- Sarah Rowland‐JonesAndrew J. McMichaelPhilippa EasterbrookGeraldine M. GillespieFrancis A. PlummerGraham S. OggChristopher P. ConlonJoshua Kimani
- Journals
- The Journal of Immunology (13 papers)AIDS (12 papers)PLoS ONE (10 papers)Journal of Virology (10 papers)The Journal of Infectious Diseases (8 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Tao Dong
234 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Virology 3.9k
- Immunology 6.5k
- Infectious Diseases 3.4k
- Epidemiology 3.3k
- Public Health, Environmental and Occupational Health 1.2k
Countries citing papers authored by Tao Dong
This map shows the geographic impact of Tao Dong'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 Tao Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Dong more than expected).
Fields of papers citing papers by Tao Dong
This network shows the impact of papers produced by Tao Dong. 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 Tao Dong. The network helps show where Tao Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Tao Dong, 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 | 2025 | 3 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 15 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2019 | 60 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 83 | |
| 15 | 2018 | 1 | |
| 16 | 2015 | 79 | |
| 17 | 2011 | 10 | |
| 18 | 2004 | 16 | |
| 19 | 2004 | 91 | |
| 20 | The role of cytotoxic T-cells in HIV infection. | 1998 | 24 |
About Tao Dong
Tao Dong is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Critical Care and Intensive Care Medicine, having authored 245 papers that have together received 11.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (106 papers), HIV Research and Treatment (80 papers), T-cell and B-cell Immunology (52 papers), Immunotherapy and Immune Responses (26 papers), Influenza Virus Research Studies (22 papers), vaccines and immunoinformatics approaches (18 papers), HIV/AIDS Research and Interventions (16 papers) and Immune Response and Inflammation (16 papers). The work is most often cited by research in Virology (3.9k citations), Immunology (6.5k citations), Infectious Diseases (3.4k citations), Epidemiology (3.3k citations) and Public Health, Environmental and Occupational Health (1.2k citations). Tao Dong has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Sarah Rowland‐Jones, Andrew J. McMichael, Sarah Rowland‐Jones, Philippa Easterbrook, Geraldine M. Gillespie, Francis A. Plummer, Graham S. Ogg, Christopher P. Conlon, Joshua Kimani and Gavin Screaton. Their work appears in journals such as The Journal of Immunology, AIDS, PLoS ONE, Journal of Virology and The Journal of Infectious Diseases.
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.