Chun-Yu Wei
Impact in
- Pharmacology top 1%
- Drug-Induced Adverse Reactions
- Pharmacogenetics and Drug Metabolism
- Dermatology top 2%
- Contact Dermatitis and Allergies
Papers in
-
- Black Holes and Theoretical Physics 4
-
- Drug-Induced Adverse Reactions 5
- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- Yuan-Tsong ChenWen‐Hung ChungJer‐Yuarn WuHsiao‐Wen HuangChien-Chun ChiouChih-Hsun YangShih‐Chi SuJui‐Yung Yang
- Journals
- Cell & Bioscience (2 papers)Physical review. D (2 papers)Clinical Immunology (2 papers)Nature Medicine (1 paper)Journal of Allergy and Clinical Immunology (1 paper)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Chun-Yu Wei
16 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Pharmacology 737
- Pharmacology 350
- Dermatology 222
- Rheumatology 369
- Pathology and Forensic Medicine 335
Countries citing papers authored by Chun-Yu Wei
This map shows the geographic impact of Chun-Yu Wei'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 Chun-Yu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Yu Wei more than expected).
Fields of papers citing papers by Chun-Yu Wei
This network shows the impact of papers produced by Chun-Yu Wei. 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 Chun-Yu Wei. The network helps show where Chun-Yu Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chun-Yu Wei, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 11 | |
| 10 | 2017 | 1 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 226 | |
| 14 | 2010 | 9 | |
| 15 | 2009 | 1 | |
| 16 | Granulysin is a key mediator for disseminated keratinocyte death in Stevens-Johnson syndrome and toxic epidermal necrolysis Hit paper breakdown → | 2008 | 558 |
| 17 | 2005 | 380 |
About Chun-Yu Wei
Chun-Yu Wei is a scholar working on Nuclear and High Energy Physics, Pharmacology, Software, Hepatology and Astronomy and Astrophysics, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug-Induced Adverse Reactions (5 papers), Cosmology and Gravitation Theories (4 papers), Black Holes and Theoretical Physics (4 papers), Pulsars and Gravitational Waves Research (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Urticaria and Related Conditions (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Pharmacology (737 citations), Pharmacology (350 citations), Dermatology (222 citations), Rheumatology (369 citations) and Pathology and Forensic Medicine (335 citations). Chun-Yu Wei has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Yuan-Tsong Chen, Wen‐Hung Chung, Wen‐Hung Chung, Jer‐Yuarn Wu, Hsiao‐Wen Huang, Chien-Chun Chiou, Chih-Hsun Yang, Shih‐Chi Su, Jui‐Yung Yang and You‐Di Liao. Their work appears in journals such as Cell & Bioscience, Physical review. D, Clinical Immunology, Nature Medicine and Journal of Allergy and Clinical Immunology.
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.