Yui-Hsi Wang
- Immunology top 0.5%
- Physiology top 1%
- Dermatology top 0.2%
- Immunology and Allergy top 0.5%
- Molecular Biology
- Co-authors
- Yong‐Jun LiuWei CaoNorihiko WatanabeTomoki� ItoYi-Hong WangBernhard HomeyF. Xiao‐Feng QinKui Shin Voo
- Topics
- T-cell and B-cell Immunology (10 papers)Immunotherapy and Immune Responses (6 papers)Dermatology and Skin Diseases (6 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Yui-Hsi Wang
16 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 4.2k
- Physiology 1.6k
- Dermatology 1.3k
- Immunology and Allergy 972
- Molecular Biology 641
Countries citing papers authored by Yui-Hsi Wang
This map shows the geographic impact of Yui-Hsi Wang'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 Yui-Hsi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yui-Hsi Wang more than expected).
Fields of papers citing papers by Yui-Hsi Wang
This network shows the impact of papers produced by Yui-Hsi Wang. 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 Yui-Hsi Wang. The network helps show where Yui-Hsi Wang may publish in the future.
Co-authorship network of co-authors of Yui-Hsi Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yui-Hsi Wang. A scholar is included among the top collaborators of Yui-Hsi Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yui-Hsi Wang. Yui-Hsi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 162 | |
| 3 | 87 | |
| 4 | 60 | |
| 5 | 119 | |
| 6 | 335 | |
| 7 | 156 | |
| 8 | 45 | |
| 9 | Identification of IL-17-producing FOXP3+regulatory T cells in humansbreakdown → | 559 |
| 10 | 168 | |
| 11 | IL-25 augments type 2 immune responses by enhancing the expansion and functions of TSLP-DC–activated Th2 memory cellsbreakdown → | 515 |
| 12 | Plasmacytoid dendritic cells sense self-DNA coupled with antimicrobial peptidebreakdown → | 1447 |
| 13 | 126 | |
| 14 | 496 | |
| 15 | Hassall's corpuscles instruct dendritic cells to induce CD4+CD25+ regulatory T cells in human thymusbreakdown → | 565 |
| 16 | TSLP-activated dendritic cells induce an inflammatory T helper type 2 cell response through OX40 ligandbreakdown → | 895 |
About Yui-Hsi Wang
Yui-Hsi Wang is a scholar working on Dermatology, Immunology and Immunology and Allergy, having authored 16 papers that have together received 5.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (6 papers) and Dermatology and Skin Diseases (6 papers). The work is most often cited by research in Immunology (4.2k citations), Immunology and Allergy (972 citations) and Dermatology (1.3k citations). Yui-Hsi Wang has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Yong‐Jun Liu, Wei Cao, Norihiko Watanabe, Tomoki� Ito, Yi-Hong Wang, Bernhard Homey, F. Xiao‐Feng Qin, Kui Shin Voo, Zhengbin Yao and Shino Hanabuchi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.