Minjin Wang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Epidemiology 22
- Respiratory viral infections research 5
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- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 4
- Co-authors
- Binwu Ying (28 shared papers)Weimin Li (9 shared papers)Yalun Li (2 shared papers)Ruijie Deng (2 shared papers)Di Wang (2 shared papers)Ting Zhang (2 shared papers)Yanhong Zhou (4 shared papers)Wenxin Luo (1 shared paper)
- Journals
- Frontiers in Immunology (4 papers)International Immunopharmacology (3 papers)Neurological Sciences (2 papers)QJM (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Minjin Wang
52 papers receiving 747 citations
Peers
Comparison fields: 5 of 109
- Infectious Diseases 228
- Cancer Research 91
- Molecular Biology 387
- Neurology 81
- Business and International Management 8
Countries citing papers authored by Minjin Wang
This map shows the geographic impact of Minjin 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 Minjin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minjin Wang more than expected).
Fields of papers citing papers by Minjin Wang
This network shows the impact of papers produced by Minjin 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 Minjin Wang. The network helps show where Minjin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minjin 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 | 140 | |
| 2 | 2019 | 58 | |
| 3 | 2022 | 42 | |
| 4 | 2021 | 42 | |
| 5 | 2022 | 39 | |
| 6 | 2020 | 34 | |
| 7 | 2017 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 24 | |
| 10 | 2024 | 22 | |
| 11 | 2020 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2023 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2021 | 12 |
About Minjin Wang
Minjin Wang is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Neurology and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 762 indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (10 papers), COVID-19 Clinical Research Studies (7 papers), Cancer-related molecular mechanisms research (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Peripheral Neuropathies and Disorders (6 papers), Respiratory viral infections research (5 papers), COVID-19 diagnosis using AI (4 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Infectious Diseases (228 citations), Cancer Research (91 citations), Molecular Biology (387 citations), Neurology (81 citations) and Business and International Management (8 citations). Minjin Wang has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Binwu Ying, Weimin Li, Yalun Li, Ruijie Deng, Di Wang, Ting Zhang, Yanhong Zhou, Wenxin Luo, Kaixiang Zhang and Junbo Chen. Their work appears in journals such as Frontiers in Immunology, International Immunopharmacology, Neurological Sciences, QJM and Oncotarget.
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.