Dan Wu
Impact in
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- Health top 5%
Papers in
-
- HIV/AIDS Research and Interventions 45
- Epidemiology 46
- HIV, Drug Use, Sexual Risk 17
- Influenza Virus Research Studies 7
- Co-authors
- Tai Pong Lam (22 shared papers)Weiming Tang (68 shared papers)Thérèse Hesketh (5 shared papers)Sylvia Y. He (2 shared papers)Kwok Fai Lam (13 shared papers)Tao Zhou (1 shared paper)Joseph D. Tucker (76 shared papers)Kai Sing Sun (21 shared papers)
- Journals
- BMC Infectious Diseases (12 papers)BMC Public Health (11 papers)BMJ Open (7 papers)China CDC Weekly (6 papers)Sexually Transmitted Diseases (5 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dan Wu
203 papers receiving 2.6k citations
Dan Wu's Hit Papers
Peers
Comparison fields: 5 of 165
- Infectious Diseases 507
- Health 172
- Applied Microbiology and Biotechnology 31
- Finance 172
- Urban Studies 97
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan Wu'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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan Wu. 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wu, 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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Shrinking cities and resource-based economy: The economic restructuring in China's mining cities Hit paper breakdown → | 2016 | 241 |
| 2 | 2012 | 180 | |
| 3 | 2014 | 127 | |
| 4 | 2016 | 121 | |
| 5 | 2014 | 95 | |
| 6 | 2020 | 84 | |
| 7 | 2017 | 74 | |
| 8 | 2016 | 54 | |
| 9 | 2022 | 48 | |
| 10 | 2018 | 47 | |
| 11 | 2018 | 43 | |
| 12 | 2014 | 42 | |
| 13 | 2020 | 40 | |
| 14 | 2019 | 37 | |
| 15 | 2018 | 36 | |
| 16 | 2019 | 35 | |
| 17 | 2017 | 32 | |
| 18 | 2022 | 31 | |
| 19 | 2020 | 29 | |
| 20 | 2020 | 29 |
About Dan Wu
Dan Wu is a scholar working on Infectious Diseases, Epidemiology, Health, General Health Professions and Social Psychology, having authored 229 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (45 papers), HIV, Drug Use, Sexual Risk (17 papers), Vaccine Coverage and Hesitancy (8 papers), Healthcare Systems and Reforms (8 papers), Bacterial Infections and Vaccines (8 papers), Adolescent Sexual and Reproductive Health (7 papers), Influenza Virus Research Studies (7 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Infectious Diseases (507 citations), Health (172 citations), Applied Microbiology and Biotechnology (31 citations), Finance (172 citations) and Urban Studies (97 citations). Dan Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tai Pong Lam, Weiming Tang, Thérèse Hesketh, Sylvia Y. He, Kwok Fai Lam, Tao Zhou, Joseph D. Tucker, Kai Sing Sun, Xudong Zhou and Lin Mao. Their work appears in journals such as BMC Infectious Diseases, BMC Public Health, BMJ Open, China CDC Weekly and Sexually Transmitted 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.