Miao-Chih Tsai

20 total papers · 10.9k total citations
14 papers, 8.9k citations indexed

About

Miao-Chih Tsai is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Miao-Chih Tsai has authored 14 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Cell Biology. Recurrent topics in Miao-Chih Tsai's work include Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Miao-Chih Tsai is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Miao-Chih Tsai collaborates with scholars based in United States, United Kingdom and Taiwan. Miao-Chih Tsai's co-authors include Howard Y. Chang, Yang Shi, Jordon K. Wang, Nima Mosammaparast, Yue Wan, Fei Lan, Eran Segal, Ohad Manor, Rajnish A. Gupta and Robert C. Spitale and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Miao-Chih Tsai

14 papers receiving 8.8k citations

Hit Papers

Long non-coding RNA HOTAI... 2010 2026 2015 2020 2010 2010 2011 2011 1000 2.0k 3.0k 4.0k

Author Peers

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

Author Last Decade Papers Cites
Miao-Chih Tsai 8.0k 6.9k 446 399 306 14 8.9k
Jordon K. Wang 6.5k 0.8× 4.9k 0.7× 304 0.7× 138 0.3× 502 1.6× 8 7.3k
Sharon L. Squazzo 4.9k 0.6× 2.8k 0.4× 226 0.5× 471 1.2× 384 1.3× 17 6.1k
John P. Cassady 6.9k 0.9× 2.8k 0.4× 291 0.7× 183 0.5× 823 2.7× 20 7.8k
Mathias Munschauer 10.6k 1.3× 7.0k 1.0× 187 0.4× 157 0.4× 522 1.7× 23 11.2k
Bryce W. Carey 9.9k 1.2× 4.6k 0.7× 364 0.8× 213 0.5× 1.1k 3.7× 25 11.4k
David J. Wong 5.7k 0.7× 4.3k 0.6× 430 1.0× 224 0.6× 506 1.7× 28 7.7k
Reinhard Rauhut 7.2k 0.9× 5.5k 0.8× 255 0.6× 104 0.3× 508 1.7× 26 8.6k
Julie Donaghey 5.2k 0.6× 2.3k 0.3× 200 0.4× 112 0.3× 763 2.5× 14 6.1k
Mariana Lagos‐Quintana 8.5k 1.1× 6.8k 1.0× 514 1.2× 79 0.2× 579 1.9× 14 10.5k
Maria D. Paraskevopoulou 4.9k 0.6× 4.7k 0.7× 289 0.6× 99 0.2× 217 0.7× 27 6.3k

Countries citing papers authored by Miao-Chih Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Miao-Chih Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao-Chih Tsai

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