Qi Ming Wang
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 20
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 detection and testing 4
- Viral Infections and Vectors 3
-
- Mathematical and Theoretical Epidemiology and Ecology Models 3
- Co-authors
- Peng Zhou (9 shared papers)Zheng‐Li Shi (8 shared papers)Ren-Di Jiang (7 shared papers)Bei Li (4 shared papers)Ying Chen (6 shared papers)Xi Wang (3 shared papers)Xu-Rui Shen (2 shared papers)Hao-Rui Si (2 shared papers)
- Journals
- Emerging Microbes & Infections (5 papers)Virology Journal (2 papers)Nonlinear Analysis Real World Applications (2 papers)Signal Transduction and Targeted Therapy (2 papers)mBio (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qi Ming Wang
79 papers receiving 2.9k citations
Qi Ming Wang's Hit Papers
Peers
Comparison fields: 5 of 102
- Infectious Diseases 1.6k
- Modeling and Simulation 55
- Neurology 68
- Animal Science and Zoology 35
- Oncology 66
Countries citing papers authored by Qi Ming Wang
This map shows the geographic impact of Qi 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 Qi 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 Qi Ming Wang more than expected).
Fields of papers citing papers by Qi Ming Wang
This network shows the impact of papers produced by Qi 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 Qi Ming Wang. The network helps show where Qi Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study Hit paper breakdown → | 2020 | 1148 |
| 2 | 2020 | 459 | |
| 3 | 2020 | 157 | |
| 4 | 2022 | 128 | |
| 5 | 2020 | 79 | |
| 6 | 2020 | 75 | |
| 7 | 2020 | 65 | |
| 8 | 2020 | 62 | |
| 9 | 2020 | 61 | |
| 10 | 2020 | 52 | |
| 11 | 2011 | 43 | |
| 12 | 2020 | 43 | |
| 13 | 2020 | 33 | |
| 14 | 2020 | 29 | |
| 15 | 2021 | 29 | |
| 16 | 2014 | 27 | |
| 17 | 2021 | 24 | |
| 18 | 2021 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2019 | 20 |
About Qi Ming Wang
Qi Ming Wang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Hematology, Neurology and Epidemiology, having authored 88 papers that have together received 3.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (20 papers), COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 detection and testing (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Viral Infections and Vectors (3 papers), Virus-based gene therapy research (2 papers), Cervical Cancer and HPV Research (1 paper) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Infectious Diseases (1.6k citations), Modeling and Simulation (55 citations), Neurology (68 citations), Animal Science and Zoology (35 citations) and Oncology (66 citations). Qi Ming Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng Zhou, Zheng‐Li Shi, Ren-Di Jiang, Bei Li, Ying Chen, Xi Wang, Xu-Rui Shen, Hao-Rui Si, Xing‐Lou Yang and Yan Zhu. Their work appears in journals such as Emerging Microbes & Infections, Virology Journal, Nonlinear Analysis Real World Applications, Signal Transduction and Targeted Therapy and mBio.
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.