Ming Wang
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
Papers in
- Epidemiology 34
- Influenza Virus Research Studies 10
- Hepatitis B Virus Studies 6
- Respiratory viral infections research 6
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- SARS-CoV-2 and COVID-19 Research 12
- Viral gastroenteritis research and epidemiology 10
- COVID-19 Clinical Research Studies 6
- Co-authors
- Kwok‐Yung Yuen (6 shared papers)Patrick C. Y. Woo (5 shared papers)Susanna K. P. Lau (5 shared papers)Kenneth S. M. Li (5 shared papers)Bo‐Jian Zheng (9 shared papers)Huifang Xu (5 shared papers)Kwok‐Hung Chan (4 shared papers)Carol S. F. Lam (4 shared papers)
- Journals
- Analytical Chemistry (5 papers)PLoS ONE (5 papers)Small (4 papers)Journal of Virology (3 papers)Emerging infectious diseases (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ming Wang
111 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 142
- Infectious Diseases 1.4k
- Animal Science and Zoology 503
- Obstetrics and Gynecology 273
- Epidemiology 867
- Modeling and Simulation 114
Countries citing papers authored by Ming Wang
This map shows the geographic impact of Ming 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 Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wang more than expected).
Fields of papers citing papers by Ming Wang
This network shows the impact of papers produced by Ming 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 Ming Wang. The network helps show where Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 285 | |
| 2 | 2009 | 236 | |
| 3 | 2010 | 218 | |
| 4 | 2006 | 208 | |
| 5 | 2020 | 179 | |
| 6 | 2007 | 141 | |
| 7 | 2012 | 140 | |
| 8 | 2006 | 116 | |
| 9 | 2008 | 92 | |
| 10 | 2017 | 91 | |
| 11 | 2017 | 84 | |
| 12 | 2012 | 79 | |
| 13 | 2007 | 71 | |
| 14 | 2020 | 71 | |
| 15 | 2012 | 66 | |
| 16 | 2017 | 66 | |
| 17 | 2009 | 64 | |
| 18 | 2017 | 60 | |
| 19 | 2014 | 57 | |
| 20 | 2016 | 57 |
About Ming Wang
Ming Wang is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Biomedical Engineering and Oncology, having authored 116 papers that have together received 3.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Influenza Virus Research Studies (10 papers), Viral gastroenteritis research and epidemiology (10 papers), Hepatitis B Virus Studies (6 papers), Respiratory viral infections research (6 papers), COVID-19 Clinical Research Studies (6 papers), Nanopore and Nanochannel Transport Studies (6 papers) and Animal Virus Infections Studies (6 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Animal Science and Zoology (503 citations), Obstetrics and Gynecology (273 citations), Epidemiology (867 citations) and Modeling and Simulation (114 citations). Ming Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kwok‐Yung Yuen, Patrick C. Y. Woo, Susanna K. P. Lau, Kenneth S. M. Li, Bo‐Jian Zheng, Huifang Xu, Kwok‐Hung Chan, Carol S. F. Lam, Rongtong Guo and Yi Huang. Their work appears in journals such as Analytical Chemistry, PLoS ONE, Small, Journal of Virology and Emerging infectious 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.