Ming‐Liang Lai
- Pharmacology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Oncology
- Epidemiology
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Chih‐Hung ChenChung‐Yi LiCheng-Yang HsiehJin‐ding HuangYan LinMingen LinChuanmin ChengYun-Ping Lim
- Topics
- Pharmacological Effects and Toxicity Studies (6 papers)Drug Transport and Resistance Mechanisms (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Partner nations
- TaiwanSwitzerlandItaly
In The Last Decade
Ming‐Liang Lai
18 papers receiving 711 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Pharmacology 195
- Cardiology and Cardiovascular Medicine 170
- Oncology 135
- Epidemiology 124
- Pediatrics, Perinatology and Child Health 93
Countries citing papers authored by Ming‐Liang Lai
This map shows the geographic impact of Ming‐Liang Lai'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‐Liang Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Liang Lai more than expected).
Fields of papers citing papers by Ming‐Liang Lai
This network shows the impact of papers produced by Ming‐Liang Lai. 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‐Liang Lai. The network helps show where Ming‐Liang Lai may publish in the future.
Co-authorship network of co-authors of Ming‐Liang Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Liang Lai. A scholar is included among the top collaborators of Ming‐Liang Lai 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‐Liang Lai. Ming‐Liang Lai 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 | Validating the diagnosis of acute ischemic stroke in a National Health Insurance claims databasebreakdown → | 332 |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 20 | |
| 7 | 31 | |
| 8 | 24 | |
| 9 | 34 | |
| 10 | Novel mutations of CYP3A4 in Chinese. | 161 |
| 11 | Midbrain hemorrhage presenting with trochlear nerve palsy. | 4 |
| 12 | Ischemic stroke in a young woman with ovarian hyperstimulation syndrome. | 18 |
| 13 | 14 | |
| 14 | 22 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | Metabolism of carbamazepine: evidence of autoinduction in Chinese. | 1 |
About Ming‐Liang Lai
Ming‐Liang Lai is a scholar working on Pharmacology, Biochemistry and Pharmacy, having authored 19 papers that have together received 725 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Pharmacology (195 citations), Internal Medicine (34 citations) and Transplantation (23 citations). Ming‐Liang Lai has collaborated with scholars based in Taiwan, Switzerland and Italy. Frequent co-authors include Chih‐Hung Chen, Chung‐Yi Li, Cheng-Yang Hsieh, Jin‐ding Huang, Yan Lin, Mingen Lin, Chuanmin Cheng, Yun-Ping Lim, Tsun‐Mei Lin and Te‐Sheng Lin. Their work appears in journals such as Neurology, Biochemical Pharmacology and Journal of Pharmaceutical Sciences.
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.