Chung‐Te Hsu

32 total papers · 767 total citations
21 papers, 615 citations indexed

About

Chung‐Te Hsu is a scholar working on Surgery, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Chung‐Te Hsu has authored 21 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 7 papers in Pathology and Forensic Medicine and 6 papers in Epidemiology. Recurrent topics in Chung‐Te Hsu's work include Liver Disease Diagnosis and Treatment (5 papers), Eosinophilic Esophagitis (4 papers) and Alcohol Consumption and Health Effects (4 papers). Chung‐Te Hsu is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Eosinophilic Esophagitis (4 papers) and Alcohol Consumption and Health Effects (4 papers). Chung‐Te Hsu collaborates with scholars based in Taiwan, United States and China. Chung‐Te Hsu's co-authors include You‐Chen Chao, Hung‐Shang Tang, Shian‐Ren Liou, Wei‐Kuo Chang, Haoning Tang, Ronnie Fass, Richard E. Sampliner, Shih‐Jiun Yin, Ting‐Kai Li and Tao‐Hsin Tung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and World Journal of Gastroenterology.

In The Last Decade

Chung‐Te Hsu

20 papers receiving 604 citations

Author Peers

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

Author Last Decade Papers Cites
Chung‐Te Hsu 274 252 195 100 99 21 615
I. A. D. Bouchier 207 0.8× 105 0.4× 263 1.3× 162 1.6× 31 0.3× 33 637
Yüksel Ateş 326 1.2× 53 0.2× 222 1.1× 106 1.1× 46 0.5× 25 693
Zun Xiang 215 0.8× 68 0.3× 124 0.6× 56 0.6× 37 0.4× 17 576
Yeşim Özen Alahdab 345 1.3× 61 0.2× 122 0.6× 124 1.2× 30 0.3× 40 561
L. Mezzabotta 376 1.4× 45 0.2× 171 0.9× 193 1.9× 33 0.3× 24 540
Thomas Mouillot 274 1.0× 37 0.1× 104 0.5× 124 1.2× 41 0.4× 31 564
Masanori Furukawa 307 1.1× 55 0.2× 151 0.8× 189 1.9× 30 0.3× 39 659
Manuel I. Doria 65 0.2× 90 0.4× 160 0.8× 65 0.7× 39 0.4× 19 607
Muammer Kara 421 1.5× 70 0.3× 155 0.8× 127 1.3× 19 0.2× 37 650
P. Berthézène 213 0.8× 93 0.4× 239 1.2× 97 1.0× 17 0.2× 26 665

Countries citing papers authored by Chung‐Te Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Te Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung‐Te Hsu

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