Minjin Wang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Neurology top 10%
- Autoimmune Neurological Disorders and Treatments
Papers in
- Neurology 15
- Autoimmune Neurological Disorders and Treatments 9
- Peripheral Neuropathies and Disorders 5
-
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Binwu Ying (27 shared papers)Weimin Li (9 shared papers)Yanhong Zhou (4 shared papers)Ting Zhang (2 shared papers)Di Wang (2 shared papers)Yalun Li (2 shared papers)Ruijie Deng (2 shared papers)Kaixiang Zhang (1 shared paper)
- Journals
- Frontiers in Immunology (4 papers)International Immunopharmacology (3 papers)Oncotarget (2 papers)Sensors and Actuators B Chemical (2 papers)QJM (2 papers)
- Partner nations
- ChinaCanadaNetherlands
In The Last Decade
Minjin Wang
51 papers receiving 811 citations
Peers
Comparison fields: 5 of 110
- Infectious Diseases 204
- Neurology 84
- Cancer Research 83
- Molecular Biology 379
- Biomedical Engineering 168
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 | 147 | |
| 2 | 2019 | 62 | |
| 3 | 2021 | 47 | |
| 4 | 2022 | 45 | |
| 5 | 2022 | 40 | |
| 6 | 2020 | 34 | |
| 7 | 2024 | 30 | |
| 8 | 2020 | 30 | |
| 9 | 2017 | 28 | |
| 10 | 2020 | 25 | |
| 11 | 2020 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2019 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2024 | 14 |
About Minjin Wang
Minjin Wang is a scholar working on Neurology, Molecular Biology, Epidemiology, Infectious Diseases and Cancer Research, having authored 60 papers that have together received 825 indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Peripheral Neuropathies and Disorders (5 papers), Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Infectious Diseases (204 citations), Neurology (84 citations), Cancer Research (83 citations), Molecular Biology (379 citations) and Biomedical Engineering (168 citations). Minjin Wang has collaborated with scholars based in China, Canada and Netherlands. Frequent co-authors include Binwu Ying, Weimin Li, Yanhong Zhou, Ting Zhang, Di Wang, Yalun Li, Ruijie Deng, Kaixiang Zhang, Junbo Chen and Yong Zhang. Their work appears in journals such as Frontiers in Immunology, International Immunopharmacology, Oncotarget, Sensors and Actuators B Chemical and QJM.
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.