Ming‐Tai Lin
- Pulmonary and Respiratory Medicine top 1%
- Surgery top 2%
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Infectious Diseases top 5%
- Co-authors
- Mei‐Hwan WuJou‐Kou WangShuenn‐Nan ChiuChun‐An ChenChun‐Wei LuHung‐Chi LueEn‐Ting WuCornelia C. Bergmann
- Topics
- Congenital Heart Disease Studies (81 papers)Kawasaki Disease and Coronary Complications (36 papers)Cardiac Structural Anomalies and Repair (35 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ming‐Tai Lin
183 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 132
- Pulmonary and Respiratory Medicine 1.5k
- Surgery 1.4k
- Epidemiology 1.2k
- Cardiology and Cardiovascular Medicine 1.0k
- Infectious Diseases 374
Countries citing papers authored by Ming‐Tai Lin
This map shows the geographic impact of Ming‐Tai Lin'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‐Tai Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Tai Lin more than expected).
Fields of papers citing papers by Ming‐Tai Lin
This network shows the impact of papers produced by Ming‐Tai Lin. 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‐Tai Lin. The network helps show where Ming‐Tai Lin may publish in the future.
Co-authorship network of co-authors of Ming‐Tai Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Tai Lin. A scholar is included among the top collaborators of Ming‐Tai Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Tai Lin. Ming‐Tai Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 29 | |
| 14 | 17 | |
| 15 | 8 | |
| 16 | 33 | |
| 17 | Long-Term Outcomes of Patients with Tetralogy of Fallot Repaired in Young Infants and Toddlers | 1 |
| 18 | Abstract 21342: Angiotensin II Blockade and Beta-Blockade Combination Therapy Slows Down the Aortic Root Dilatation in Patients with Marfan Syndrome | 2 |
| 19 | Epidemiological Evidence of Seasonality in Kawasaki Disease in Taiwan | 2 |
| 20 | 3 |
About Ming‐Tai Lin
Ming‐Tai Lin is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 191 papers that have together received 3.5k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (81 papers), Kawasaki Disease and Coronary Complications (36 papers) and Cardiac Structural Anomalies and Repair (35 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.5k citations), Cardiology and Cardiovascular Medicine (1.0k citations) and Epidemiology (1.2k citations). Ming‐Tai Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Mei‐Hwan Wu, Jou‐Kou Wang, Shuenn‐Nan Chiu, Chun‐An Chen, Chun‐Wei Lu, Hung‐Chi Lue, En‐Ting Wu, Cornelia C. Bergmann, Chung‐I Chang and Hsin‐Hui Chiu. Their work appears in journals such as Journal of Biological Chemistry, Circulation and PEDIATRICS.
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.