Min Wei
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 1
-
- COVID-19 Impact on Reproduction 4
- Co-authors
- Zhi‐Jiang Zhang (3 shared papers)Yu Liu (1 shared paper)Tao Fu (1 shared paper)Xue‐jie Yu (1 shared paper)Jingping Yuan (1 shared paper)Yongyi Bi (3 shared papers)Zhi-Jiang Zhang (2 shared papers)Jing Yang (2 shared papers)
- Journals
- Journal of Craniofacial Surgery (4 papers)Current Microbiology (2 papers)Journal of General Internal Medicine (2 papers)European Journal of Clinical Microbiology & Infectious Diseases (2 papers)Emerging Microbes & Infections (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Min Wei
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 453
- Obstetrics and Gynecology 133
- General Dentistry 3
- Modeling and Simulation 17
- Epidemiology 91
Countries citing papers authored by Min Wei
This map shows the geographic impact of Min Wei'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 Min Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Wei more than expected).
Fields of papers citing papers by Min Wei
This network shows the impact of papers produced by Min Wei. 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 Min Wei. The network helps show where Min Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Wei, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 520 | |
| 2 | 2021 | 67 | |
| 3 | 2018 | 55 | |
| 4 | 2020 | 53 | |
| 5 | 2019 | 40 | |
| 6 | 2020 | 38 | |
| 7 | 2012 | 35 | |
| 8 | 2024 | 34 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 27 | |
| 11 | 2019 | 26 | |
| 12 | 2022 | 24 | |
| 13 | 2020 | 23 | |
| 14 | 2010 | 22 | |
| 15 | 2011 | 21 | |
| 16 | 2011 | 18 | |
| 17 | 2015 | 18 | |
| 18 | 2022 | 18 | |
| 19 | 2020 | 16 | |
| 20 | 2020 | 16 |
About Min Wei
Min Wei is a scholar working on Infectious Diseases, Obstetrics and Gynecology, Epidemiology, Physiology and Molecular Biology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Impact on Reproduction (4 papers), Pain Mechanisms and Treatments (4 papers), Cervical Cancer and HPV Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Hepatitis B Virus Studies (2 papers), Reconstructive Facial Surgery Techniques (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (453 citations), Obstetrics and Gynecology (133 citations), General Dentistry (3 citations), Modeling and Simulation (17 citations) and Epidemiology (91 citations). Min Wei has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Zhi‐Jiang Zhang, Yu Liu, Tao Fu, Xue‐jie Yu, Jingping Yuan, Yongyi Bi, Zhi-Jiang Zhang, Jing Yang, Hong Wang and Yu Liu. Their work appears in journals such as Journal of Craniofacial Surgery, Current Microbiology, Journal of General Internal Medicine, European Journal of Clinical Microbiology & Infectious Diseases and Emerging Microbes & Infections.
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.