Hui-Chen Hsu

19 total papers · 700 total citations
16 papers, 506 citations indexed

About

Hui-Chen Hsu is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Hui-Chen Hsu has authored 16 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Hui-Chen Hsu's work include Inflammatory Biomarkers in Disease Prognosis (2 papers), Insect symbiosis and bacterial influences (2 papers) and Invertebrate Immune Response Mechanisms (2 papers). Hui-Chen Hsu is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (2 papers), Insect symbiosis and bacterial influences (2 papers) and Invertebrate Immune Response Mechanisms (2 papers). Hui-Chen Hsu collaborates with scholars based in Taiwan and United States. Hui-Chen Hsu's co-authors include Chiao‐Yin Sun, Mai-Szu Wu, Wei-Hsin Yuan, Pei‐Jer Chen, Ann‐Lii Cheng, Jason Chia‐Hsien Cheng, Po‐Huang Lee, Ying‐Yuan Chen, Chia‐Hung Wu and Yi‐Hong Chou and has published in prestigious journals such as Clinical Cancer Research, British Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Hui-Chen Hsu

15 papers receiving 487 citations

Author Peers

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

Author Last Decade Papers Cites
Hui-Chen Hsu 164 94 87 75 71 16 506
Margaret Bevans 73 0.4× 62 0.7× 110 1.3× 50 0.7× 35 0.5× 21 566
Feng Ma 162 1.0× 103 1.1× 77 0.9× 205 2.7× 84 1.2× 35 588
Giacomo Lanfranco 204 1.2× 67 0.7× 113 1.3× 163 2.2× 135 1.9× 25 561
Chiara Sonnino 196 1.2× 144 1.5× 111 1.3× 26 0.3× 70 1.0× 21 539
Miyuki Yokoyama 100 0.6× 92 1.0× 147 1.7× 84 1.1× 41 0.6× 16 519
K Hatakeyama 265 1.6× 91 1.0× 87 1.0× 34 0.5× 92 1.3× 29 538
R. Witthaut 172 1.0× 84 0.9× 186 2.1× 22 0.3× 59 0.8× 18 570
Lukas Haragsim 104 0.6× 166 1.8× 41 0.5× 82 1.1× 25 0.4× 19 538
Marco Cannistrà 197 1.2× 124 1.3× 82 0.9× 30 0.4× 117 1.6× 19 533
Chizuko Kitabayashi 100 0.6× 97 1.0× 48 0.6× 78 1.0× 17 0.2× 21 457

Countries citing papers authored by Hui-Chen Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Hui-Chen Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui-Chen 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 Hui-Chen Hsu. The network helps show where Hui-Chen Hsu may publish in the future.

Co-authorship network of co-authors of Hui-Chen Hsu

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