Min‐Lan Tsai
- Psychiatry and Mental health top 10%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Pediatrics, Perinatology and Child Health
- Molecular Biology
- Co-authors
- L. Stan LeungKun‐Long HungJames SchwartzVenil N. SumantranYu-Jung TsengM L WuBixia ShenAnn Lu Holubkov
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Epilepsy research and treatment (8 papers)EEG and Brain-Computer Interfaces (8 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Min‐Lan Tsai
35 papers receiving 445 citations
Peers
Comparison fields: 5 of 75
- Psychiatry and Mental health 163
- Cellular and Molecular Neuroscience 142
- Cognitive Neuroscience 137
- Pediatrics, Perinatology and Child Health 73
- Molecular Biology 72
Countries citing papers authored by Min‐Lan Tsai
This map shows the geographic impact of Min‐Lan Tsai'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 Min‐Lan Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Lan Tsai more than expected).
Fields of papers citing papers by Min‐Lan Tsai
This network shows the impact of papers produced by Min‐Lan Tsai. 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 Min‐Lan Tsai. The network helps show where Min‐Lan Tsai may publish in the future.
Co-authorship network of co-authors of Min‐Lan Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Lan Tsai. A scholar is included among the top collaborators of Min‐Lan Tsai 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 Min‐Lan Tsai. Min‐Lan Tsai 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 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 27 | |
| 12 | 10 | |
| 13 | 26 | |
| 14 | 32 | |
| 15 | 19 | |
| 16 | 7 | |
| 17 | Role of the ECoG in tailored temporal lobe resection: the University of Washington experience. | 3 |
| 18 | 15 | |
| 19 | 5 | |
| 20 | Study on the concentrations of cerebrospinal fluid immunoglobulin G and albumin in children. | 3 |
About Min‐Lan Tsai
Min‐Lan Tsai is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Cognitive Neuroscience, having authored 39 papers that have together received 458 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Epilepsy research and treatment (8 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Psychiatry and Mental health (163 citations), Cellular and Molecular Neuroscience (142 citations) and Cognitive Neuroscience (137 citations). Min‐Lan Tsai has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include L. Stan Leung, Kun‐Long Hung, James Schwartz, Venil N. Sumantran, Yu-Jung Tseng, M L Wu, Bixia Shen, Ann Lu Holubkov, George A. Ojemann and Gian‐Emilio Chatrian. Their work appears in journals such as Circulation Research, Endocrinology and Epilepsia.
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.