Chung‐Tay Yao

15 total papers · 475 total citations
13 papers, 377 citations indexed

About

Chung‐Tay Yao is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Chung‐Tay Yao has authored 13 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Chung‐Tay Yao's work include Alcohol Consumption and Health Effects (7 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Chung‐Tay Yao is often cited by papers focused on Alcohol Consumption and Health Effects (7 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Chung‐Tay Yao collaborates with scholars based in Taiwan, China and United States. Chung‐Tay Yao's co-authors include Shih‐Jiun Yin, Gar‐Yang Chau, S. D. Lee, Chew‐Wun Wu, Ching‐Long Lai, Chien‐Ping Chiang, Lifang Yang, Sui‐Lung Su, Kang‐Hua Chen and Chi‐Ming Chu and has published in prestigious journals such as Alcoholism Clinical and Experimental Research, PeerJ and The American Journal of Emergency Medicine.

In The Last Decade

Chung‐Tay Yao

13 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Chung‐Tay Yao	179	112	98	49	44	13	377
Rolf Eckey	232 1.3×	145 1.3×	136 1.4×	66 1.3×	10 0.2×	17	425
W. K. Lelbach	213 1.2×	52 0.5×	192 2.0×	21 0.4×	26 0.6×	15	395
Lihan Sun	163 0.9×	206 1.8×	51 0.5×	30 0.6×	19 0.4×	9	436
Qian Ding	58 0.3×	128 1.1×	86 0.9×	81 1.7×	30 0.7×	20	422
Khodr Issa	53 0.3×	92 0.8×	79 0.8×	72 1.5×	35 0.8×	17	404
Malory Weber	68 0.4×	118 1.1×	28 0.3×	24 0.5×	30 0.7×	14	354
Yuanna Ling	72 0.4×	212 1.9×	154 1.6×	38 0.8×	11 0.3×	12	419
Gary M. Roggin	113 0.6×	55 0.5×	75 0.8×	63 1.3×	32 0.7×	8	376
Chin‐Shya Liao	223 1.2×	161 1.4×	91 0.9×	39 0.8×	24 0.5×	11	333
J. Papenberg	150 0.8×	76 0.7×	55 0.6×	59 1.2×	8 0.2×	20	344

Countries citing papers authored by Chung‐Tay Yao

Since Specialization

Citations

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

Fields of papers citing papers by Chung‐Tay Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Tay Yao. 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 Chung‐Tay Yao. The network helps show where Chung‐Tay Yao may publish in the future.

Co-authorship network of co-authors of Chung‐Tay Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Tay Yao. A scholar is included among the top collaborators of Chung‐Tay Yao 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 Chung‐Tay Yao. Chung‐Tay Yao 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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