Ming-Kai Jhan
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
-
- Mosquito-borne diseases and control 11
- Malaria Research and Control 2
-
- Infectious Encephalopathies and Encephalitis 3
- Viral Infections and Vectors 3
- Co-authors
- Chiou‐Feng Lin (11 shared papers)Chia‐Ling Chen (8 shared papers)Tsung-Ting Tsai (5 shared papers)Po-Chun Tseng (5 shared papers)Yi‐Chao Lee (3 shared papers)Cheng‐Chieh Tsai (3 shared papers)Wei‐Chun HuangFu (2 shared papers)Liang Lin (2 shared papers)
In The Last Decade
Ming-Kai Jhan
13 papers receiving 326 citations
Peers
Comparison fields: 5 of 73
- Neurology 63
- Infectious Diseases 110
- Public Health, Environmental and Occupational Health 156
- Virology 22
- Biological Psychiatry 9
Countries citing papers authored by Ming-Kai Jhan
This map shows the geographic impact of Ming-Kai Jhan'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 Ming-Kai Jhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Kai Jhan more than expected).
Fields of papers citing papers by Ming-Kai Jhan
This network shows the impact of papers produced by Ming-Kai Jhan. 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 Ming-Kai Jhan. The network helps show where Ming-Kai Jhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Kai Jhan, 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 | 2016 | 64 | |
| 2 | 2018 | 63 | |
| 3 | 2019 | 59 | |
| 4 | 2017 | 32 | |
| 5 | 2017 | 32 | |
| 6 | 2018 | 23 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2024 | 2 |
About Ming-Kai Jhan
Ming-Kai Jhan is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Neurology, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 326 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Infectious Encephalopathies and Encephalitis (3 papers), Viral Infections and Vectors (3 papers), Malaria Research and Control (2 papers), Ginger and Zingiberaceae research (1 paper), Moyamoya disease diagnosis and treatment (1 paper) and Noise Effects and Management (1 paper). The work is most often cited by research in Neurology (63 citations), Infectious Diseases (110 citations), Public Health, Environmental and Occupational Health (156 citations), Virology (22 citations) and Biological Psychiatry (9 citations). Ming-Kai Jhan has collaborated with scholars based in Taiwan, Indonesia and Vietnam. Frequent co-authors include Chiou‐Feng Lin, Chia‐Ling Chen, Tsung-Ting Tsai, Po-Chun Tseng, Yi‐Chao Lee, Cheng‐Chieh Tsai, Wei‐Chun HuangFu, Liang Lin, Yee-Shin Lin and Chih‐Peng Chang. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Scientific Reports, Journal of Microbiology Immunology and Infection, Journal of Leukocyte Biology and Chemico-Biological Interactions.
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.