Na He
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- HIV/AIDS Research and Interventions
Papers in
- Epidemiology 92
- HIV, Drug Use, Sexual Risk 55
- Liver Disease Diagnosis and Treatment 13
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- HIV/AIDS Research and Interventions 74
- Co-authors
- Yingying Ding (86 shared papers)Frank Y. Wong (33 shared papers)Roger Detels (16 shared papers)Jiao Huang (2 shared papers)Sheng Wei (2 shared papers)Li Liu (1 shared paper)Chaolong Wang (1 shared paper)Huan Guo (1 shared paper)
- Journals
- AIDS Care (13 papers)PLoS ONE (11 papers)BioScience Trends (8 papers)Epidemiology and Infection (6 papers)Drug and Alcohol Dependence (5 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Na He
236 papers receiving 4.5k citations
Na He's Hit Papers
Peers
Comparison fields: 5 of 165
- Modeling and Simulation 502
- Infectious Diseases 1.5k
- Virology 250
- Epidemiology 1.1k
- Emergency Medicine 209
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 250 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 | 1121 |
| 2 | 2021 | 126 | |
| 3 | 2005 | 101 | |
| 4 | 2020 | 82 | |
| 5 | 2012 | 76 | |
| 6 | 2007 | 70 | |
| 7 | 2021 | 68 | |
| 8 | 2016 | 63 | |
| 9 | 2020 | 60 | |
| 10 | 2008 | 60 | |
| 11 | 2014 | 59 | |
| 12 | 2009 | 58 | |
| 13 | 2020 | 57 | |
| 14 | 2006 | 57 | |
| 15 | 2005 | 54 | |
| 16 | 2006 | 52 | |
| 17 | 2017 | 52 | |
| 18 | 2013 | 51 | |
| 19 | 2020 | 47 | |
| 20 | 2013 | 45 |
About Na He
Na He is a scholar working on Epidemiology, Infectious Diseases, Emergency Medicine, Sociology and Political Science and General Health Professions, having authored 250 papers that have together received 4.6k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (74 papers), HIV, Drug Use, Sexual Risk (55 papers), HIV-related health complications and treatments (31 papers), HIV Research and Treatment (26 papers), Sex work and related issues (25 papers), Adolescent Sexual and Reproductive Health (23 papers), Viral-associated cancers and disorders (15 papers) and Liver Disease Diagnosis and Treatment (13 papers). The work is most often cited by research in Modeling and Simulation (502 citations), Infectious Diseases (1.5k citations), Virology (250 citations), Epidemiology (1.1k citations) and Emergency Medicine (209 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, Jiao Huang, Sheng Wei, Li Liu, Chaolong Wang, Huan Guo, An Pan and Tangchun Wu. Their work appears in journals such as AIDS Care, PLoS ONE, BioScience Trends, Epidemiology and Infection and Drug and Alcohol Dependence.
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.