Tung‐Han Tsai

53 total papers · 583 total citations
45 papers, 380 citations indexed

About

Tung‐Han Tsai is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Tung‐Han Tsai has authored 45 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Molecular Biology. Recurrent topics in Tung‐Han Tsai's work include Diabetes Treatment and Management (7 papers), Metabolism, Diabetes, and Cancer (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Tung‐Han Tsai is often cited by papers focused on Diabetes Treatment and Management (7 papers), Metabolism, Diabetes, and Cancer (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Tung‐Han Tsai collaborates with scholars based in Taiwan, United States and Ireland. Tung‐Han Tsai's co-authors include Kuang‐Hua Huang, Chien‐Ying Lee, Shuo‐Yan Gau, Yu‐Hsiang Kuan, Wen‐Chen Tsai, Mingying Liu, Tsung‐Chuan Ho, Yeou‐Ping Tsao, Kuen‐Bao Chen and Shin‐jeng Lin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Tung‐Han Tsai

36 papers receiving 373 citations

Author Peers

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

Author Last Decade Papers Cites
Tung‐Han Tsai 75 61 59 38 35 45 380
Han Bao 57 0.8× 42 0.7× 48 0.8× 6 0.2× 49 1.4× 65 439
Yurong Wang 66 0.9× 70 1.1× 49 0.8× 35 0.9× 101 2.9× 35 442
Juho Jalkanen 75 1.0× 54 0.9× 36 0.6× 11 0.3× 136 3.9× 32 440
U Bucher 100 1.3× 20 0.3× 15 0.3× 17 0.4× 36 1.0× 57 345
Jia Liu 105 1.4× 32 0.5× 22 0.4× 8 0.2× 52 1.5× 32 352
James Kurtz 52 0.7× 29 0.5× 17 0.3× 29 0.8× 37 1.1× 24 382
K. Schröder 55 0.7× 24 0.4× 5 0.1× 21 0.6× 61 1.7× 39 333
A Alencar 98 1.3× 66 1.1× 55 0.9× 3 0.1× 39 1.1× 37 436
Yuxian Yang 105 1.4× 47 0.8× 29 0.5× 5 0.1× 34 1.0× 30 355
Yuan Zhuang 151 2.0× 46 0.8× 12 0.2× 7 0.2× 28 0.8× 41 362

Countries citing papers authored by Tung‐Han Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Tung‐Han Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tung‐Han Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Tung‐Han Tsai. A scholar is included among the top collaborators of Tung‐Han 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 Tung‐Han Tsai. Tung‐Han Tsai 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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