Hui-Chen Hsu

21 total papers · 1.8k total citations
20 papers, 452 citations indexed

About

Hui-Chen Hsu is a scholar working on Immunology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Hui-Chen Hsu has authored 20 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Surgery and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Hui-Chen Hsu's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Hui-Chen Hsu is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Hui-Chen Hsu collaborates with scholars based in Taiwan, United States and Germany. Hui-Chen Hsu's co-authors include John D. Mountz, Sung‐Hsin Kuo, Ann‐Lii Cheng, A. Esty, Patricia LaPorte, Theodore Friedmann, Wei-Hsin Yuan, Anna Fen–Yau Li, Shih‐Sung Chuang and Hwei‐Fang Tien and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Hui-Chen Hsu

20 papers receiving 427 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 147 146 101 93 82 20 452
Andrew Shearer 130 0.9× 170 1.2× 70 0.7× 81 0.9× 73 0.9× 16 425
H. K. M�ller-Hermelink 166 1.1× 86 0.6× 62 0.6× 76 0.8× 78 1.0× 17 473
Yanping Hu 205 1.4× 156 1.1× 132 1.3× 123 1.3× 54 0.7× 18 481
Wai S. Etches 87 0.6× 78 0.5× 45 0.4× 57 0.6× 26 0.3× 22 414
Giulia Di Lullo 197 1.3× 94 0.6× 120 1.2× 98 1.1× 30 0.4× 14 507
Mohsen Navari 94 0.6× 150 1.0× 221 2.2× 176 1.9× 22 0.3× 32 469
Dan P. Hartmann 145 1.0× 108 0.7× 185 1.8× 133 1.4× 15 0.2× 12 541
Stefanie Schmidt 319 2.2× 59 0.4× 64 0.6× 81 0.9× 49 0.6× 13 518
Yang Seok Chae 34 0.2× 42 0.3× 77 0.8× 90 1.0× 46 0.6× 32 481
Ulrike Schmitz 93 0.6× 54 0.4× 36 0.4× 248 2.7× 64 0.8× 17 480

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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