Min Zhou
Impact in
- Infectious Diseases top 0.02%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Biological Psychiatry top 0.2%
- Tryptophan and brain disorders
Papers in
-
- COVID-19 Clinical Research Studies 19
- SARS-CoV-2 and COVID-19 Research 15
- SARS-CoV-2 detection and testing 5
Min Zhou
122 papers receiving 19.9k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Infectious Diseases 11.4k
- Biological Psychiatry 1.0k
- Neurology 5.3k
- Modeling and Simulation 1.4k
- Critical Care and Intensive Care Medicine 748
Countries citing papers authored by Min Zhou
This map shows the geographic impact of Min Zhou'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 Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Zhou more than expected).
Fields of papers citing papers by Min Zhou
This network shows the impact of papers produced by Min Zhou. 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 Zhou. The network helps show where Min Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 1 | |
| 14 | Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study Hit paper breakdown → | 2020 | 14267 |
| 15 | 2019 | 19 | |
| 16 | Enantioseparation of Seventeen Kinds of β-Lactams on Carboxymethyl-β-cyclodextrin Chiral Stationary Phase and Research on Enantioseparation Mechanism | 2018 | 3 |
| 17 | [Characteristics of particulate matters and its chemical compositions during the dust episodes in Shanghai in spring, 2011]. | 2014 | 6 |
| 18 | [Aging and mixing state of particulate matter during aerosol pollution episode in autumn Shanghai using a single particle aerosol mass spectrometer (SPAMS)]. | 2013 | 5 |
| 19 | 2013 | 10 | |
| 20 | 2012 | 1 |
About Min Zhou
Min Zhou is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Ophthalmology, Neurology and Biological Psychiatry, having authored 136 papers that have together received 20.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (19 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Pneumonia and Respiratory Infections (8 papers), Ocular Oncology and Treatments (7 papers), Long-Term Effects of COVID-19 (7 papers), SARS-CoV-2 detection and testing (5 papers), Atmospheric chemistry and aerosols (5 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Infectious Diseases (11.4k citations), Biological Psychiatry (1.0k citations), Neurology (5.3k citations), Modeling and Simulation (1.4k citations) and Critical Care and Intensive Care Medicine (748 citations). Min Zhou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xinxin Zhang, Jieming Qu, Xuan Dong, Ying Liu, Ting Yu, Yang Han, Jiaan Xia, Jingli Wang, Li Zhang and Fengyun Gong. Their work appears in journals such as Frontiers of Medicine, Infection and Drug Resistance, Journal of Non-Crystalline Solids, Analytical Chemistry and British Journal of Ophthalmology.
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.