Willy Hsu

535 citations
8 papers · 438 · h-index 8

Impact in

  • Hepatology top 5%
    • Liver Diseases and Immunity
    • Liver physiology and pathology
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Immunotherapy and Immune Responses 1
    • Liver Diseases and Immunity 3

Willy Hsu

8 papers receiving 431 citations

Peers

Willy Hsu
Comparison fields: 5 of 60
  • Hepatology 208
  • Immunology 124
  • Epidemiology 136
  • Rheumatology 36
  • Oncology 56
Replace Maria Paola Simula with:
Maria Paola Simula Italy
Indu Kohaar United States
Alexandru Simion Belgium
Omer Junaidi United States
Jingmin Zhao China
Toshifumi Kuroda Japan
Cai‐Yue Gao China
Yuka Miyasaka Japan
Andrew Fischer United States
Jeong Hoon Bae South Korea
Willy Hsu relative to Maria Paola Simula Italy Maria Paola Simula's profile →
Citations per field
00.5×4.5×
Maria Paola Simula · 1×
Citations per year

Countries citing papers authored by Willy Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Willy Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Willy Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Willy Hsu Line = papers co-authored together Willy Hsu links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2008171
2 200873
3 200866
4
The current immune function of hepatic dendritic cells.
200739
5 200533
6 200320
7 200819
8 200517

About Willy Hsu

Willy Hsu is a scholar working on Immunology, Hepatology, Molecular Biology, Oncology and Epidemiology, having authored 8 papers that have together received 438 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (3 papers), Immune Cell Function and Interaction (3 papers), Chemokine receptors and signaling (2 papers), T-cell and B-cell Immunology (2 papers), Allergic Rhinitis and Sensitization (1 paper), Glycosylation and Glycoproteins Research (1 paper), Diabetes and associated disorders (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Hepatology (208 citations), Immunology (124 citations), Epidemiology (136 citations), Rheumatology (36 citations) and Oncology (56 citations). Willy Hsu has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include M. Eric Gershwin, Aftab A. Ansari, Yuki Moritoki, Grace L. Rosenquist, Zhe‐Xiong Lian, Koichi Tsuneyama, Ross L. Coppel, Ruth Y. Lan, Hugh B. Nicholas and Claudia Kemper. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Hepatology, Biochemical and Biophysical Research Communications, Hepatology Research and Journal of Autoimmunity.

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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