Ming-Kai Tsai

42 total papers · 603 total citations
36 papers, 461 citations indexed

About

Ming-Kai Tsai is a scholar working on Physiology, Oncology and Pharmacology. According to data from OpenAlex, Ming-Kai Tsai has authored 36 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Oncology and 7 papers in Pharmacology. Recurrent topics in Ming-Kai Tsai's work include Chemokine receptors and signaling (6 papers), Inflammatory mediators and NSAID effects (5 papers) and Radio Frequency Integrated Circuit Design (3 papers). Ming-Kai Tsai is often cited by papers focused on Chemokine receptors and signaling (6 papers), Inflammatory mediators and NSAID effects (5 papers) and Radio Frequency Integrated Circuit Design (3 papers). Ming-Kai Tsai collaborates with scholars based in Taiwan, Hong Kong and United States. Ming-Kai Tsai's co-authors include J.C. Huang, Chih‐Hsing Hung, Chih-Chiang Wang, Yi‐Ching Lin, J.S.C. Jang, Jenq‐Gong Duh, Hsien‐Wei Chen, Chang‐Hung Kuo, Yu‐Chih Lin and Mei-Lan Tsai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ming-Kai Tsai

34 papers receiving 452 citations

Author Peers

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

Author Last Decade Papers Cites
Ming-Kai Tsai 125 100 62 61 54 36 461
Shiting Chen 134 1.1× 81 0.8× 27 0.4× 33 0.5× 39 0.7× 31 468
Ruiping Li 174 1.4× 119 1.2× 28 0.5× 41 0.7× 11 0.2× 44 550
Anna Wójcicka 103 0.8× 66 0.7× 57 0.9× 21 0.3× 20 0.4× 21 436
Qiang Chi 194 1.6× 82 0.8× 50 0.8× 81 1.3× 25 0.5× 51 509
Krzysztof Lis 52 0.4× 79 0.8× 46 0.7× 37 0.6× 11 0.2× 46 426
Haichuan Li 177 1.4× 24 0.2× 20 0.3× 30 0.5× 29 0.5× 44 538
Hongyan Duan 189 1.5× 58 0.6× 19 0.3× 20 0.3× 25 0.5× 45 543
Hye Jin Jeong 179 1.4× 53 0.5× 54 0.9× 38 0.6× 10 0.2× 20 434
Chunlian Liu 236 1.9× 58 0.6× 28 0.5× 48 0.8× 16 0.3× 28 496
Bing Tan 131 1.0× 86 0.9× 33 0.5× 38 0.6× 21 0.4× 41 547

Countries citing papers authored by Ming-Kai Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Kai Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Kai 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 Ming-Kai Tsai. The network helps show where Ming-Kai Tsai may publish in the future.

Co-authorship network of co-authors of Ming-Kai Tsai

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