Tai‐Ming Ko
Impact in
- Pharmacology top 5%
- Drug-Induced Adverse Reactions
- Pharmacogenetics and Drug Metabolism
- Toxicology top 10%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
- Surgery 6
- Kawasaki Disease and Coronary Complications 6
-
- Drug-Induced Adverse Reactions 6
- Co-authors
- Yuan-Tsong Chen (7 shared papers)Chia‐Hsien Lin (1 shared paper)Han‐Yu Shih (2 shared papers)Wen‐Hung Chung (2 shared papers)Jer-Yuarn Wu (4 shared papers)Chen‐Yang Shen (2 shared papers)Chih‐Shung Wong (1 shared paper)Kuan‐Ting Liu (2 shared papers)
- Journals
- Circulation (2 papers)Clinical and Translational Allergy (2 papers)Scientific Reports (2 papers)Frontiers in Genetics (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Tai‐Ming Ko
22 papers receiving 423 citations
Peers
Comparison fields: 5 of 52
- Pharmacology 224
- Toxicology 33
- Rheumatology 79
- Pathology and Forensic Medicine 75
- Dermatology 36
Countries citing papers authored by Tai‐Ming Ko
This map shows the geographic impact of Tai‐Ming Ko'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 Tai‐Ming Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Ming Ko more than expected).
Fields of papers citing papers by Tai‐Ming Ko
This network shows the impact of papers produced by Tai‐Ming Ko. 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 Tai‐Ming Ko. The network helps show where Tai‐Ming Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai‐Ming Ko, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 217 | |
| 2 | 2023 | 36 | |
| 3 | 2011 | 31 | |
| 4 | 2019 | 30 | |
| 5 | 2016 | 24 | |
| 6 | 2023 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 2012 | 12 | |
| 9 | 2018 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2020 | 1 |
About Tai‐Ming Ko
Tai‐Ming Ko is a scholar working on Surgery, Pharmacology, Molecular Biology, Epidemiology and Rheumatology, having authored 24 papers that have together received 438 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (6 papers), Drug-Induced Adverse Reactions (6 papers), Urticaria and Related Conditions (3 papers), Coronary Artery Anomalies (3 papers), Streptococcal Infections and Treatments (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Pharmacology (224 citations), Toxicology (33 citations), Rheumatology (79 citations), Pathology and Forensic Medicine (75 citations) and Dermatology (36 citations). Tai‐Ming Ko has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yuan-Tsong Chen, Chia‐Hsien Lin, Han‐Yu Shih, Wen‐Hung Chung, Wen‐Hung Chung, Jer-Yuarn Wu, Chen‐Yang Shen, Chih‐Shung Wong, Kuan‐Ting Liu and I-Ting Lin. Their work appears in journals such as Circulation, Clinical and Translational Allergy, Scientific Reports, Frontiers in Genetics and International Journal of Environmental Research and Public Health.
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.