Chien‐Tsai Lai

18 total papers · 603 total citations
16 papers, 525 citations indexed

About

Chien‐Tsai Lai is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chien‐Tsai Lai has authored 16 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Chien‐Tsai Lai's work include Neuroscience and Neuropharmacology Research (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Chien‐Tsai Lai is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Chien‐Tsai Lai collaborates with scholars based in Canada and China. Chien‐Tsai Lai's co-authors include Peter H. Yu, Dongmei Zuo, Douglas L. Gelowitz, Xia Zhang, Alan A. Boulton, P. H. Yu, Jacqueline J. Shan, Glen B. Baker, Kathryn M. Rodgers and Alan N. Bateson and has published in prestigious journals such as Biochemical Pharmacology, European Journal of Neuroscience and Toxicology and Applied Pharmacology.

In The Last Decade

Chien‐Tsai Lai

16 papers receiving 501 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chien‐Tsai Lai 219 203 130 72 69 16 525
Hesham El Refaey 175 0.8× 135 0.7× 117 0.9× 92 1.3× 49 0.7× 12 545
Leonardo Magno Rambo 207 0.9× 188 0.9× 103 0.8× 127 1.8× 56 0.8× 24 612
Gordana Župan 156 0.7× 194 1.0× 97 0.7× 60 0.8× 65 0.9× 36 558
G. Gille 267 1.2× 114 0.6× 104 0.8× 47 0.7× 46 0.7× 21 523
Karnire S. Pai 263 1.2× 112 0.6× 95 0.7× 62 0.9× 26 0.4× 15 501
Karen Toska 263 1.2× 188 0.9× 139 1.1× 55 0.8× 30 0.4× 14 513
Mika Takeshima 167 0.8× 247 1.2× 99 0.8× 49 0.7× 40 0.6× 16 516
G Cohen 118 0.5× 219 1.1× 211 1.6× 62 0.9× 39 0.6× 11 455
Youdim Mb 114 0.5× 176 0.9× 190 1.5× 90 1.3× 61 0.9× 32 499
A. Mehta 215 1.0× 248 1.2× 61 0.5× 90 1.3× 47 0.7× 18 574

Countries citing papers authored by Chien‐Tsai Lai

Since Specialization
Citations

This map shows the geographic impact of Chien‐Tsai 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 Chien‐Tsai Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Tsai Lai more than expected).

Fields of papers citing papers by Chien‐Tsai Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Tsai 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 Chien‐Tsai Lai. The network helps show where Chien‐Tsai Lai may publish in the future.

Co-authorship network of co-authors of Chien‐Tsai Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Tsai Lai. A scholar is included among the top collaborators of Chien‐Tsai 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 Chien‐Tsai Lai. Chien‐Tsai Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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2026