Na He
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- HIV/AIDS Research and Interventions
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 132
- HIV, Drug Use, Sexual Risk 87
-
- HIV/AIDS Research and Interventions 102
- HIV/AIDS drug development and treatment 17
- Co-authors
- Yingying Ding (85 shared papers)Frank Y. Wong (33 shared papers)Roger Detels (16 shared papers)Sheng Wei (2 shared papers)Jiao Huang (2 shared papers)Xihong Lin (1 shared paper)Qi Wang (1 shared paper)An Pan (1 shared paper)
- Journals
- AIDS Care (13 papers)PLoS ONE (11 papers)BioScience Trends (8 papers)Epidemiology and Infection (6 papers)AIDS and Behavior (5 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Na He
227 papers receiving 4.3k citations
Na He's Hit Papers
Peers
Comparison fields: 5 of 167
- Modeling and Simulation 609
- Infectious Diseases 2.1k
- Virology 367
- Epidemiology 1.7k
- Emergency Medicine 275
Countries citing papers authored by Na He
This map shows the geographic impact of Na He'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 Na He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na He more than expected).
Fields of papers citing papers by Na He
This network shows the impact of papers produced by Na He. 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 Na He. The network helps show where Na He may publish in the future.
Co-authors
The 25 scholars most cited alongside Na He, 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 244 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China Hit paper breakdown → | 2020 | 1099 |
| 2 | 2021 | 116 | |
| 3 | 2005 | 99 | |
| 4 | 2012 | 76 | |
| 5 | 2020 | 73 | |
| 6 | 2007 | 69 | |
| 7 | 2021 | 65 | |
| 8 | 2016 | 62 | |
| 9 | 2020 | 59 | |
| 10 | 2008 | 59 | |
| 11 | 2014 | 58 | |
| 12 | 2009 | 58 | |
| 13 | 2006 | 54 | |
| 14 | 2020 | 54 | |
| 15 | 2006 | 52 | |
| 16 | 2017 | 52 | |
| 17 | 2005 | 51 | |
| 18 | 2013 | 48 | |
| 19 | 2020 | 45 | |
| 20 | 2015 | 44 |
About Na He
Na He is a scholar working on Epidemiology, Infectious Diseases, Virology, General Health Professions and Sociology and Political Science, having authored 244 papers that have together received 4.4k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (102 papers), HIV, Drug Use, Sexual Risk (87 papers), HIV Research and Treatment (42 papers), Adolescent Sexual and Reproductive Health (38 papers), HIV-related health complications and treatments (36 papers), Sex work and related issues (36 papers), HIV/AIDS drug development and treatment (17 papers) and Viral-associated cancers and disorders (16 papers). The work is most often cited by research in Modeling and Simulation (609 citations), Infectious Diseases (2.1k citations), Virology (367 citations), Epidemiology (1.7k citations) and Emergency Medicine (275 citations). Na He has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yingying Ding, Frank Y. Wong, Roger Detels, Sheng Wei, Jiao Huang, Xihong Lin, Qi Wang, An Pan, Xingjie Hao and Hongjie Yu. Their work appears in journals such as AIDS Care, PLoS ONE, BioScience Trends, Epidemiology and Infection and AIDS and Behavior.
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.