Yau‐Ting Tai

37 total papers · 803 total citations
32 papers, 572 citations indexed

About

Yau‐Ting Tai is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Complementary and alternative medicine. According to data from OpenAlex, Yau‐Ting Tai has authored 32 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Complementary and alternative medicine. Recurrent topics in Yau‐Ting Tai's work include Cardiac Arrhythmias and Treatments (17 papers), Cardiac pacing and defibrillation studies (17 papers) and Cardiac electrophysiology and arrhythmias (11 papers). Yau‐Ting Tai is often cited by papers focused on Cardiac Arrhythmias and Treatments (17 papers), Cardiac pacing and defibrillation studies (17 papers) and Cardiac electrophysiology and arrhythmias (11 papers). Yau‐Ting Tai collaborates with scholars based in Hong Kong, China and United States. Yau‐Ting Tai's co-authors include Ping‐Ching Fong, Chu‐Pak Lau, Wing‐Hung Leung, Chu‐Pak Lau, Chun‐Ho Cheng, Sydney Tang, Kathy L. Lee, Man‐Hong Jim, Cheuk‐Kit Wong and KATHY L.F. LEE and has published in prestigious journals such as CHEST Journal, The American Journal of Medicine and The American Journal of Cardiology.

In The Last Decade

Yau‐Ting Tai

32 papers receiving 556 citations

Author Peers

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

Author						Papers	Cites
Yau‐Ting Tai	472	83	55	45	38	32	572
Xin Zhao	366 0.8×	79 1.0×	135 2.5×	13 0.3×	11 0.3×	50	563
Fotios Kardaras	350 0.7×	88 1.1×	102 1.9×	11 0.2×	15 0.4×	28	516
Michael Shochat	328 0.7×	61 0.7×	181 3.3×	29 0.6×	12 0.3×	34	574
Wilfried Kramer	287 0.6×	64 0.8×	150 2.7×	10 0.2×	28 0.7×	55	591
İsmet Durmuş	344 0.7×	98 1.2×	87 1.6×	10 0.2×	60 1.6×	38	618
Monika Kasztura	220 0.5×	117 1.4×	40 0.7×	25 0.6×	17 0.4×	32	674
Sanoj Chacko	393 0.8×	131 1.6×	45 0.8×	11 0.2×	5 0.1×	32	598
Dimitar Divchev	271 0.6×	73 0.9×	144 2.6×	19 0.4×	18 0.5×	37	571
Roberto Spoladore	469 1.0×	98 1.2×	80 1.5×	21 0.5×	7 0.2×	57	618
G. S. Sainani	223 0.5×	58 0.7×	72 1.3×	11 0.2×	57 1.5×	32	570

Countries citing papers authored by Yau‐Ting Tai

Since Specialization

Citations

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

Fields of papers citing papers by Yau‐Ting Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yau‐Ting Tai

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