Ming‐Wei Su
Impact in
- Physiology top 10%
- Asthma and respiratory diseases
- Alzheimer's disease research and treatments
-
- Air Quality and Health Impacts
Papers in
- Physiology 14
- Asthma and respiratory diseases 9
- Alzheimer's disease research and treatments 5
- Co-authors
- Yungling Leo Lee (13 shared papers)Ching‐Hui Tsai (10 shared papers)Kuan‐Yen Tung (3 shared papers)Hou‐Wei Chu (6 shared papers)Bor‐Luen Chiang (5 shared papers)Yao‐Hsu Yang (5 shared papers)Jiunn‐Tay Lee (6 shared papers)Yu‐Kai Lin (7 shared papers)
- Journals
- PLoS ONE (4 papers)Journal of Clinical Medicine (3 papers)Cell Genomics (1 paper)Frontiers in Aging Neuroscience (1 paper)Alzheimer s Research & Therapy (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Ming‐Wei Su
29 papers receiving 536 citations
Peers
Comparison fields: 5 of 113
- Physiology 198
- Health, Toxicology and Mutagenesis 82
- Neurology 41
- Environmental Chemistry 48
- Immunology and Allergy 29
Countries citing papers authored by Ming‐Wei Su
This map shows the geographic impact of Ming‐Wei Su'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‐Wei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Wei Su more than expected).
Fields of papers citing papers by Ming‐Wei Su
This network shows the impact of papers produced by Ming‐Wei Su. 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‐Wei Su. The network helps show where Ming‐Wei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Wei Su, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2016 | 51 | |
| 3 | 2012 | 46 | |
| 4 | 2018 | 34 | |
| 5 | 2020 | 32 | |
| 6 | 2019 | 25 | |
| 7 | 2018 | 23 | |
| 8 | 2023 | 23 | |
| 9 | 2013 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2016 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2013 | 15 | |
| 15 | 2015 | 15 | |
| 16 | 2015 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2023 | 11 |
About Ming‐Wei Su
Ming‐Wei Su is a scholar working on Physiology, Molecular Biology, Health, Toxicology and Mutagenesis, Immunology and Epidemiology, having authored 31 papers that have together received 542 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (9 papers), Alzheimer's disease research and treatments (5 papers), IL-33, ST2, and ILC Pathways (5 papers), Dementia and Cognitive Impairment Research (4 papers), Genetic Associations and Epidemiology (3 papers), Air Quality and Health Impacts (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). The work is most often cited by research in Physiology (198 citations), Health, Toxicology and Mutagenesis (82 citations), Neurology (41 citations), Environmental Chemistry (48 citations) and Immunology and Allergy (29 citations). Ming‐Wei Su has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yungling Leo Lee, Ching‐Hui Tsai, Kuan‐Yen Tung, Hou‐Wei Chu, Bor‐Luen Chiang, Yao‐Hsu Yang, Jiunn‐Tay Lee, Yu‐Kai Lin, Chia‐Lin Tsai and Chen‐Yang Shen. Their work appears in journals such as PLoS ONE, Journal of Clinical Medicine, Cell Genomics, Frontiers in Aging Neuroscience and Alzheimer s Research & Therapy.
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.