Min-Chien Tu

42 total papers · 591 total citations
29 papers, 413 citations indexed

About

Min-Chien Tu is a scholar working on Psychiatry and Mental health, Rheumatology and Cognitive Neuroscience. According to data from OpenAlex, Min-Chien Tu has authored 29 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Psychiatry and Mental health, 8 papers in Rheumatology and 6 papers in Cognitive Neuroscience. Recurrent topics in Min-Chien Tu's work include Dementia and Cognitive Impairment Research (15 papers), Cognitive Functions and Memory (6 papers) and Moyamoya disease diagnosis and treatment (5 papers). Min-Chien Tu is often cited by papers focused on Dementia and Cognitive Impairment Research (15 papers), Cognitive Functions and Memory (6 papers) and Moyamoya disease diagnosis and treatment (5 papers). Min-Chien Tu collaborates with scholars based in Taiwan, United States and Türkiye. Min-Chien Tu's co-authors include Yen‐Hsuan Hsu, Ching-Feng Huang, Chung‐Ping Lo, Wenhui Huang, Chiung‐Chih Chang, Chun‐Chung Lui, Mau‐Sun Hua, Shu‐Hua Huang, Jie Deng and Pei‐Wen Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Alzheimer s Disease.

In The Last Decade

Min-Chien Tu

29 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Min-Chien Tu 150 108 94 64 60 29 413
Luoyu Wang 65 0.4× 212 2.0× 191 2.0× 27 0.4× 19 0.3× 36 403
Si Zhang 47 0.3× 39 0.4× 105 1.1× 20 0.3× 26 0.4× 43 480
Xingxian Huang 56 0.4× 25 0.2× 97 1.0× 32 0.5× 18 0.3× 36 374
Marco Barillari 50 0.3× 101 0.9× 105 1.1× 8 0.1× 137 2.3× 35 475
Won Sang Jung 125 0.8× 98 0.9× 186 2.0× 32 0.5× 80 1.3× 29 476
Carolin Gramsch 82 0.5× 57 0.5× 189 2.0× 34 0.5× 17 0.3× 19 460
Joel M. Weinstein 42 0.3× 42 0.4× 89 0.9× 6 0.1× 27 0.5× 26 439
Chih‐Feng Chen 23 0.2× 161 1.5× 74 0.8× 30 0.5× 43 0.7× 21 383
İbrahim Bora 171 1.1× 101 0.9× 36 0.4× 9 0.1× 114 1.9× 39 416
Dewang Mao 66 0.4× 272 2.5× 139 1.5× 18 0.3× 26 0.4× 21 439

Countries citing papers authored by Min-Chien Tu

Since Specialization
Citations

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

Fields of papers citing papers by Min-Chien Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Chien Tu. 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-Chien Tu. The network helps show where Min-Chien Tu may publish in the future.

Co-authorship network of co-authors of Min-Chien Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Min-Chien Tu. A scholar is included among the top collaborators of Min-Chien Tu 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-Chien Tu. Min-Chien Tu 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