Ailing Wang
Impact in
- Physiology top 10%
- Syphilis Diagnosis and Treatment
- Simulation-Based Education in Healthcare
Papers in
- Physiology 14
- Syphilis Diagnosis and Treatment 5
- Simulation-Based Education in Healthcare 4
-
- HIV/AIDS Research and Interventions 9
- Co-authors
- Yaping Qiao (12 shared papers)Qian Wang (12 shared papers)Xi Jin (6 shared papers)Lınhong Wang (5 shared papers)Jie Qiu (2 shared papers)Song Li (2 shared papers)Liwen Fang (2 shared papers)Fang Wang (1 shared paper)
- Journals
- China CDC Weekly (2 papers)Scientific Reports (2 papers)Infectious Diseases of Poverty (2 papers)Food Bioscience (2 papers)SIAM Journal on Applied Mathematics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ailing Wang
53 papers receiving 599 citations
Peers
Comparison fields: 5 of 105
- Physiology 171
- Research and Theory 5
- Infectious Diseases 90
- Obstetrics and Gynecology 30
- Hepatology 25
Countries citing papers authored by Ailing Wang
This map shows the geographic impact of Ailing Wang'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 Ailing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailing Wang more than expected).
Fields of papers citing papers by Ailing Wang
This network shows the impact of papers produced by Ailing Wang. 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 Ailing Wang. The network helps show where Ailing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ailing Wang, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 105 | |
| 2 | 2016 | 40 | |
| 3 | 2014 | 38 | |
| 4 | 2015 | 36 | |
| 5 | 2014 | 29 | |
| 6 | 2020 | 25 | |
| 7 | 2017 | 21 | |
| 8 | 2012 | 21 | |
| 9 | 2022 | 20 | |
| 10 | Creating simulation communities of practice: an international perspective. | 2009 | 19 |
| 11 | 2023 | 18 | |
| 12 | 2024 | 17 | |
| 13 | 2015 | 16 | |
| 14 | 2014 | 16 | |
| 15 | 2020 | 14 | |
| 16 | 2010 | 14 | |
| 17 | 2010 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2016 | 9 | |
| 20 | 2018 | 8 |
About Ailing Wang
Ailing Wang is a scholar working on Physiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 56 papers that have together received 614 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (9 papers), Syphilis Diagnosis and Treatment (5 papers), Simulation-Based Education in Healthcare (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), HIV, Drug Use, Sexual Risk (4 papers), Evolution and Genetic Dynamics (3 papers), Porphyrin and Phthalocyanine Chemistry (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Physiology (171 citations), Research and Theory (5 citations), Infectious Diseases (90 citations), Obstetrics and Gynecology (30 citations) and Hepatology (25 citations). Ailing Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yaping Qiao, Qian Wang, Xi Jin, Lınhong Wang, Jie Qiu, Song Li, Liwen Fang, Fang Wang, Jiuling Wu and Sten H. Vermund. Their work appears in journals such as China CDC Weekly, Scientific Reports, Infectious Diseases of Poverty, Food Bioscience and SIAM Journal on Applied Mathematics.
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.