Kuen‐Daw Tsai

27 total papers · 813 total citations
20 papers, 675 citations indexed

About

Kuen‐Daw Tsai is a scholar working on Molecular Biology, Toxicology and Pharmacology. According to data from OpenAlex, Kuen‐Daw Tsai has authored 20 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Toxicology and 3 papers in Pharmacology. Recurrent topics in Kuen‐Daw Tsai's work include Bioactive Compounds and Antitumor Agents (5 papers), Cancer therapeutics and mechanisms (5 papers) and Cell death mechanisms and regulation (5 papers). Kuen‐Daw Tsai is often cited by papers focused on Bioactive Compounds and Antitumor Agents (5 papers), Cancer therapeutics and mechanisms (5 papers) and Cell death mechanisms and regulation (5 papers). Kuen‐Daw Tsai collaborates with scholars based in Taiwan, Poland and United States. Kuen‐Daw Tsai's co-authors include Shih‐Lan Hsu, Chiu-Yuan Chen, Wen‐Huang Peng, Jaw‐Ming Cherng, Shumei Yang, Min‐Jen Tseng, Jung‐Chung Lin, Yi‐Ju Lee, Ting‐Hui Lin and Jeng‐Dong Hsu and has published in prestigious journals such as Cancer Research, Nutrients and Life Sciences.

In The Last Decade

Kuen‐Daw Tsai

20 papers receiving 657 citations

Author Peers

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

Author Last Decade Papers Cites
Kuen‐Daw Tsai 306 112 82 77 68 20 675
Dae‐Seung Kim 314 1.0× 112 1.0× 61 0.7× 92 1.2× 63 0.9× 21 606
Cheng‐Le Yin 336 1.1× 133 1.2× 73 0.9× 98 1.3× 76 1.1× 28 603
Ali Attiq 245 0.8× 120 1.1× 81 1.0× 59 0.8× 51 0.8× 22 716
Jen‐Jyh Lin 378 1.2× 110 1.0× 57 0.7× 69 0.9× 96 1.4× 28 782
Nur Aziz 325 1.1× 112 1.0× 114 1.4× 103 1.3× 115 1.7× 21 767
María C. Recio 323 1.1× 151 1.3× 72 0.9× 89 1.2× 76 1.1× 24 768
Rashida Ginwala 268 0.9× 137 1.2× 115 1.4× 70 0.9× 74 1.1× 18 685
Peng An 305 1.0× 88 0.8× 74 0.9× 63 0.8× 67 1.0× 32 713
Hye Hyeon Lee 289 0.9× 99 0.9× 81 1.0× 87 1.1× 59 0.9× 26 613
Kwan Hee Park 312 1.0× 135 1.2× 55 0.7× 76 1.0× 54 0.8× 26 645

Countries citing papers authored by Kuen‐Daw Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Kuen‐Daw Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuen‐Daw Tsai

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