Chen‐Jei Tai

137 total papers · 3.5k total citations
115 papers, 2.9k citations indexed

About

Chen‐Jei Tai is a scholar working on Molecular Biology, Epidemiology and Complementary and alternative medicine. According to data from OpenAlex, Chen‐Jei Tai has authored 115 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 20 papers in Epidemiology and 19 papers in Complementary and alternative medicine. Recurrent topics in Chen‐Jei Tai's work include Complementary and Alternative Medicine Studies (10 papers), Acupuncture Treatment Research Studies (8 papers) and Maternal and Perinatal Health Interventions (7 papers). Chen‐Jei Tai is often cited by papers focused on Complementary and Alternative Medicine Studies (10 papers), Acupuncture Treatment Research Studies (8 papers) and Maternal and Perinatal Health Interventions (7 papers). Chen‐Jei Tai collaborates with scholars based in Taiwan, Canada and United States. Chen‐Jei Tai's co-authors include Li‐Yin Chien, Peter C. K. Leung, Sung Keun Kang, Cheng-Jeng Tai, Parimal S. Nathwani, Nelly Auersperg, Liang Lin, Kyung‐Chul Choi, Chii‐Ruey Tzeng and Kyung‐Chul Choi and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Gut.

In The Last Decade

Chen‐Jei Tai

112 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Chen‐Jei Tai 831 591 401 369 280 115 2.9k
Lily Stojanovska 971 1.2× 531 0.9× 204 0.5× 289 0.8× 232 0.8× 148 5.2k
Mohsen Taghizadeh 1.2k 1.5× 460 0.8× 314 0.8× 293 0.8× 179 0.6× 130 4.0k
Takashi Takeda 584 0.7× 663 1.1× 401 1.0× 243 0.7× 195 0.7× 121 2.6k
James R. McFarlane 555 0.7× 521 0.9× 526 1.3× 236 0.6× 315 1.1× 119 3.0k
Kevin N. Keane 1.2k 1.4× 577 1.0× 517 1.3× 489 1.3× 240 0.9× 54 4.2k
Ioannis Kyrou 910 1.1× 579 1.0× 386 1.0× 1.3k 3.4× 247 0.9× 134 5.4k
Adel Abuzenadah 1.2k 1.5× 382 0.6× 364 0.9× 320 0.9× 275 1.0× 176 3.7k
Neeta Singh 627 0.8× 415 0.7× 502 1.3× 179 0.5× 73 0.3× 112 2.2k
Barbara Wirleitner 866 1.0× 507 0.9× 347 0.9× 352 1.0× 222 0.8× 93 4.1k
Karsten Münstedt 512 0.6× 413 0.7× 731 1.8× 182 0.5× 158 0.6× 167 3.2k

Countries citing papers authored by Chen‐Jei Tai

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Jei Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Jei Tai. 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 Chen‐Jei Tai. The network helps show where Chen‐Jei Tai may publish in the future.

Co-authorship network of co-authors of Chen‐Jei Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Jei Tai. A scholar is included among the top collaborators of Chen‐Jei Tai 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 Chen‐Jei Tai. Chen‐Jei Tai 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