Hui‐Chen Hsu
- Immunology top 1%
- T-cell and B-cell Immunology 45
- Immune Cell Function and Interaction 36
- Immunotherapy and Immune Responses 20
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 13
- Oncology top 5%
- CAR-T cell therapy research 6
- Molecular Biology top 5%
- Cell death mechanisms and regulation 6
- Aging top 10%
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- Virus-based gene therapy research 13
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- John D. MountzPingAr YangHuang‐Ge ZhangQi WuAlbert ToussonLibing HuangRobert W. WilliamsJohn G. Allen
- Cited by
- ImmunologyRheumatologyOncology
- Journals
- The Journal of Immunology (18 papers)Scandinavian Journal of Immunology (6 papers)Mechanisms of Ageing and Development (6 papers)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Hui‐Chen Hsu
100 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 2.1k
- Rheumatology 670
- Oncology 649
- Molecular Biology 1.4k
- Aging 32
Countries citing papers authored by Hui‐Chen Hsu
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
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
The 25 scholars most cited alongside Hui‐Chen Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 7 | |
| 2 | 2022 | 12 | |
| 3 | 2019 | 36 | |
| 4 | 2018 | 89 | |
| 5 | 2012 | 121 | |
| 6 | 2011 | 2 | |
| 7 | 2010 | 89 | |
| 8 | 2009 | 35 | |
| 9 | 2007 | 62 | |
| 10 | 2007 | 1 | |
| 11 | 2005 | 6 | |
| 12 | 2005 | 52 | |
| 13 | 2004 | 44 | |
| 14 | 2002 | 15 | |
| 15 | 2002 | 31 | |
| 16 | 2001 | 173 | |
| 17 | 2001 | 20 | |
| 18 | 1999 | 9 | |
| 19 | 1999 | 17 | |
| 20 | 1999 | 1 |
About Hui‐Chen Hsu
Hui‐Chen Hsu is a scholar working on Immunology, Rheumatology, Microbiology, Genetics and Aging, having authored 102 papers that have together received 3.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (45 papers), Immune Cell Function and Interaction (36 papers), Immunotherapy and Immune Responses (20 papers), Virus-based gene therapy research (13 papers), Systemic Lupus Erythematosus Research (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Cell death mechanisms and regulation (6 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Immunology (2.1k citations), Rheumatology (670 citations), Oncology (649 citations), Molecular Biology (1.4k citations) and Aging (32 citations). Hui‐Chen Hsu has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include John D. Mountz, PingAr Yang, Huang‐Ge Zhang, Qi Wu, Qi Wu, Albert Tousson, Libing Huang, Robert W. Williams, John G. Allen and Jun Li. Their work appears in journals such as The Journal of Immunology, Scandinavian Journal of Immunology, Mechanisms of Ageing and Development, Clinical Immunology and Immunological Reviews.
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.