Hsin‐Fang Yang‐Yen
- Immunology top 2%
- Immune Cell Function and Interaction 6
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 11
- Molecular Biology top 2%
- Cell death mechanisms and regulation 12
- RNA and protein synthesis mechanisms 11
- RNA Research and Splicing 8
- Genomics and Chromatin Dynamics 6
- Cancer Research top 2%
- Molecular Medicine top 2%
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- Cancer, Stress, Anesthesia, and Immune Response 7
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- Erythrocyte Function and Pathophysiology 5
- Co-authors
- J. J. YenJean‐Claude ChambardMichael KarinTod SmealThomas J. SchmidtJacques DrouinJyh-Rong ChaoLawrence I. Rothblum
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Hsin‐Fang Yang‐Yen
64 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 1.0k
- Oncology 1.2k
- Molecular Biology 3.0k
- Cancer Research 648
- Molecular Medicine 212
Countries citing papers authored by Hsin‐Fang Yang‐Yen
This map shows the geographic impact of Hsin‐Fang Yang‐Yen'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 Hsin‐Fang Yang‐Yen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Fang Yang‐Yen more than expected).
Fields of papers citing papers by Hsin‐Fang Yang‐Yen
This network shows the impact of papers produced by Hsin‐Fang Yang‐Yen. 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 Hsin‐Fang Yang‐Yen. The network helps show where Hsin‐Fang Yang‐Yen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hsin‐Fang Yang‐Yen, 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 | 3 | |
| 2 | 2020 | 28 | |
| 3 | 2019 | 18 | |
| 4 | 2018 | 14 | |
| 5 | 2017 | 30 | |
| 6 | 2016 | 8 | |
| 7 | 2013 | 15 | |
| 8 | 2013 | 8 | |
| 9 | 2010 | 30 | |
| 10 | 2009 | 11 | |
| 11 | 2007 | 9 | |
| 12 | 2006 | 39 | |
| 13 | 2003 | 74 | |
| 14 | Inhibition of STAT3 signaling leads to apoptosis of leukemic large granular lymphocytes and decreased Mcl-1 expressionbreakdown → | 2001 | 505 |
| 15 | 2001 | 35 | |
| 16 | 1999 | 7 | |
| 17 | 1998 | 171 | |
| 18 | 1998 | 7 | |
| 19 | 1996 | 233 | |
| 20 | 1987 | 21 |
About Hsin‐Fang Yang‐Yen
Hsin‐Fang Yang‐Yen is a scholar working on Immunology, Oncology and Immunology and Allergy, having authored 64 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (12 papers), Cytokine Signaling Pathways and Interactions (11 papers), RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (8 papers), Cancer, Stress, Anesthesia, and Immune Response (7 papers), Genomics and Chromatin Dynamics (6 papers), Immune Cell Function and Interaction (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Immunology (1.0k citations), Oncology (1.2k citations) and Molecular Biology (3.0k citations). Hsin‐Fang Yang‐Yen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include J. J. Yen, Jean‐Claude Chambard, Michael Karin, Tod Smeal, Thomas J. Schmidt, Jacques Drouin, Jyh-Rong Chao, Lawrence I. Rothblum, Ming‐Chung Jiang and Ju‐Ming Wang. Their work appears in journals such as Cell, Nucleic Acids Research 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.