Yen‐Ming Hsu
- Immunology top 2%
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 8
- Immune Response and Inflammation 5
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research 6
- Cancer Research top 2%
- NF-κB Signaling Pathways 6
- Hematology top 2%
- Internal Medicine top 5%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Cell death mechanisms and regulation 3
- Co-authors
- Christopher D. BenjaminRoy R. LobbTheresa M. PalabricaMark AronovitzBruce FurieBarbara C. FurieYves ChicheporticheHaoda Xu
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (8 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Yen‐Ming Hsu
35 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 1.5k
- Immunology and Allergy 408
- Cancer Research 799
- Hematology 491
- Internal Medicine 106
Countries citing papers authored by Yen‐Ming Hsu
This map shows the geographic impact of Yen‐Ming 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 Yen‐Ming Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Ming Hsu more than expected).
Fields of papers citing papers by Yen‐Ming Hsu
This network shows the impact of papers produced by Yen‐Ming 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 Yen‐Ming Hsu. The network helps show where Yen‐Ming Hsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yen‐Ming 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 | 2025 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2011 | 38 | |
| 4 | 2011 | 38 | |
| 5 | 2010 | 34 | |
| 6 | 2009 | 2 | |
| 7 | 2006 | 13 | |
| 8 | 2005 | 73 | |
| 9 | 2004 | 63 | |
| 10 | 2003 | 79 | |
| 11 | 2003 | 101 | |
| 12 | 2002 | 99 | |
| 13 | 2001 | 41 | |
| 14 | 2001 | 3 | |
| 15 | 1999 | 20 | |
| 16 | 1998 | 60 | |
| 17 | 1997 | 47 | |
| 18 | TWEAK, a New Secreted Ligand in the Tumor Necrosis Factor Family That Weakly Induces Apoptosisbreakdown → | 1997 | 563 |
| 19 | 1995 | 195 | |
| 20 | Leukocyte accumulation promoting fibrin deposition is mediated in vivo by P-selectin on adherent plateletsbreakdown → | 1992 | 661 |
About Yen‐Ming Hsu
Yen‐Ming Hsu is a scholar working on Immunology, Immunology and Allergy and Cancer Research, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cell Adhesion Molecules Research (6 papers), NF-κB Signaling Pathways (6 papers), Immune Response and Inflammation (5 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Immunology (1.5k citations), Immunology and Allergy (408 citations) and Cancer Research (799 citations). Yen‐Ming Hsu has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christopher D. Benjamin, Roy R. Lobb, Theresa M. Palabrica, Mark Aronovitz, Bruce Furie, Barbara C. Furie, Yves Chicheportiche, Haoda Xu, Jeffrey L. Browning and Hamish S. Scott. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.