YANG‐TE TSAI

25 total papers · 487 total citations
25 papers, 382 citations indexed

About

YANG‐TE TSAI is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, YANG‐TE TSAI has authored 25 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hepatology, 15 papers in Epidemiology and 14 papers in Surgery. Recurrent topics in YANG‐TE TSAI's work include Liver Disease and Transplantation (18 papers), Liver Disease Diagnosis and Treatment (15 papers) and Organ Transplantation Techniques and Outcomes (5 papers). YANG‐TE TSAI is often cited by papers focused on Liver Disease and Transplantation (18 papers), Liver Disease Diagnosis and Treatment (15 papers) and Organ Transplantation Techniques and Outcomes (5 papers). YANG‐TE TSAI collaborates with scholars based in Taiwan, China and United States. YANG‐TE TSAI's co-authors include FA‐YAUH LEE, SHOU‐DONG LEE, Kwang‐Juei Lo, Han‐Chieh Lin, Chii‐Shyan Lay, Sun-Sang Wang, Chung‐Kang Peng, Chen-Hsen Lee, Fa‐Yauh Lee and Gin‐Ho Lo and has published in prestigious journals such as Journal of Hepatology, Journal of Gastroenterology and Hepatology and Journal of Clinical Gastroenterology.

In The Last Decade

YANG‐TE TSAI

25 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
YANG‐TE TSAI 288 244 186 92 40 25 382
Hiroyuki Shigemori 257 0.9× 235 1.0× 187 1.0× 55 0.6× 32 0.8× 21 380
K Kubara 362 1.3× 257 1.1× 255 1.4× 61 0.7× 41 1.0× 13 389
Masumasa Horisawa 330 1.1× 291 1.2× 215 1.2× 29 0.3× 51 1.3× 20 442
B Champigneulle 298 1.0× 253 1.0× 191 1.0× 26 0.3× 33 0.8× 26 432
Farzana Shafqat 212 0.7× 190 0.8× 170 0.9× 81 0.9× 26 0.7× 28 355
R Lobello 182 0.6× 277 1.1× 159 0.9× 73 0.8× 28 0.7× 18 423
Oana Pavel 366 1.3× 338 1.4× 260 1.4× 55 0.6× 23 0.6× 14 439
Ping‐Hsien Chen 243 0.8× 198 0.8× 184 1.0× 93 1.0× 73 1.8× 30 383
María Isabel Jirón 283 1.0× 239 1.0× 142 0.8× 17 0.2× 25 0.6× 18 363
Alessandro Sumberaz 118 0.4× 143 0.6× 163 0.9× 104 1.1× 38 0.9× 24 342

Countries citing papers authored by YANG‐TE TSAI

Since Specialization
Citations

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

Fields of papers citing papers by YANG‐TE TSAI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by YANG‐TE 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 YANG‐TE TSAI. The network helps show where YANG‐TE TSAI may publish in the future.

Co-authorship network of co-authors of YANG‐TE TSAI

This figure shows the co-authorship network connecting the top 25 collaborators of YANG‐TE TSAI. A scholar is included among the top collaborators of YANG‐TE 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 YANG‐TE TSAI. YANG‐TE 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