Chi‐Neu Tsai

118 total papers · 3.5k total citations
86 papers, 2.7k citations indexed

About

Chi‐Neu Tsai is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Chi‐Neu Tsai has authored 86 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 16 papers in Infectious Diseases and 15 papers in Oncology. Recurrent topics in Chi‐Neu Tsai's work include Viral gastroenteritis research and epidemiology (14 papers), Viral Infections and Immunology Research (7 papers) and Epigenetics and DNA Methylation (7 papers). Chi‐Neu Tsai is often cited by papers focused on Viral gastroenteritis research and epidemiology (14 papers), Viral Infections and Immunology Research (7 papers) and Epigenetics and DNA Methylation (7 papers). Chi‐Neu Tsai collaborates with scholars based in Taiwan, United States and India. Chi‐Neu Tsai's co-authors include Yu‐Sun Chang, Yun‐Shien Lee, Chia-Lung Tsai, Hwan‐You Chang, Ka‐Po Tse, Cheng‐Hsun Chiu, Angel Chao, Chyong‐Huey Lai, Tzu‐Hao Wang and Shih‐Tung Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Chi‐Neu Tsai

83 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Chi‐Neu Tsai 1.1k 651 497 426 298 86 2.7k
Wei Xin 1.2k 1.1× 384 0.6× 307 0.6× 305 0.7× 154 0.5× 142 3.1k
Jean‐Pierre Molès 902 0.8× 764 1.2× 207 0.4× 401 0.9× 183 0.6× 119 3.0k
Hongjian Jin 1.6k 1.5× 520 0.8× 374 0.8× 243 0.6× 129 0.4× 71 4.2k
Giuseppina Liguori 1.7k 1.6× 571 0.9× 380 0.8× 566 1.3× 169 0.6× 78 3.0k
Nobutaka Kiyokawa 1.7k 1.6× 629 1.0× 191 0.4× 369 0.9× 279 0.9× 186 4.0k
W. Edward Highsmith 1.8k 1.7× 685 1.1× 346 0.7× 203 0.5× 198 0.7× 99 4.2k
Wenjing Yu 867 0.8× 305 0.5× 301 0.6× 285 0.7× 99 0.3× 69 2.2k
Pey‐Jium Chang 831 0.8× 685 1.1× 249 0.5× 242 0.6× 178 0.6× 114 2.5k
Ryoji Tsuboi 1.2k 1.1× 339 0.5× 532 1.1× 141 0.3× 145 0.5× 90 2.8k
Wolf K. Hofmann 1.8k 1.6× 458 0.7× 486 1.0× 516 1.2× 149 0.5× 41 3.4k

Countries citing papers authored by Chi‐Neu Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Neu Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Neu Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Neu Tsai. A scholar is included among the top collaborators of Chi‐Neu 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 Chi‐Neu Tsai. Chi‐Neu 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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2026