Linwei Wang
Impact in
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
- Toxicology top 10%
Papers in
- Epidemiology 20
- HIV, Drug Use, Sexual Risk 16
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- HIV/AIDS Research and Interventions 12
- COVID-19 Clinical Research Studies 4
- Co-authors
- Pengcheng Shi (6 shared papers)Huafeng Liu (2 shared papers)Ken C. L. Wong (3 shared papers)Rong Kong (3 shared papers)Bohdan Nosyk (10 shared papers)Zaid Ashiq Khan (1 shared paper)Mansoor Ahmed Koondhar (1 shared paper)Zhixiong Tan (1 shared paper)
- Journals
- American Journal of Epidemiology (4 papers)Cancer (2 papers)Clinical Infectious Diseases (2 papers)CMAJ Open (2 papers)Journal of the International AIDS Society (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Linwei Wang
50 papers receiving 829 citations
Peers
Comparison fields: 5 of 132
- Infectious Diseases 157
- Toxicology 26
- Epidemiology 204
- Modeling and Simulation 27
- Cardiology and Cardiovascular Medicine 125
Countries citing papers authored by Linwei Wang
This map shows the geographic impact of Linwei 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 Linwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linwei Wang more than expected).
Fields of papers citing papers by Linwei Wang
This network shows the impact of papers produced by Linwei 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 Linwei Wang. The network helps show where Linwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linwei 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 120 | |
| 2 | 2017 | 93 | |
| 3 | 2009 | 84 | |
| 4 | 2020 | 74 | |
| 5 | 2011 | 44 | |
| 6 | 2019 | 33 | |
| 7 | 2016 | 28 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2022 | 23 | |
| 11 | 2017 | 21 | |
| 12 | 2013 | 21 | |
| 13 | 2015 | 20 | |
| 14 | 2016 | 19 | |
| 15 | 2016 | 17 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2019 | 9 |
About Linwei Wang
Linwei Wang is a scholar working on Epidemiology, Infectious Diseases, Cardiology and Cardiovascular Medicine, General Health Professions and Sociology and Political Science, having authored 60 papers that have together received 838 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (16 papers), HIV/AIDS Research and Interventions (12 papers), Cardiac electrophysiology and arrhythmias (7 papers), Sex work and related issues (5 papers), Opioid Use Disorder Treatment (5 papers), Health disparities and outcomes (4 papers), ECG Monitoring and Analysis (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (157 citations), Toxicology (26 citations), Epidemiology (204 citations), Modeling and Simulation (27 citations) and Cardiology and Cardiovascular Medicine (125 citations). Linwei Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Pengcheng Shi, Huafeng Liu, Ken C. L. Wong, Rong Kong, Bohdan Nosyk, Zaid Ashiq Khan, Mansoor Ahmed Koondhar, Zhixiong Tan, Gazi Mahabubul Alam and Jeong Eun Min. Their work appears in journals such as American Journal of Epidemiology, Cancer, Clinical Infectious Diseases, CMAJ Open and Journal of the International AIDS Society.
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.