Yui‐Hsi Wang

4.7k total citations · 1 hit paper
38 papers, 3.7k citations indexed

About

Yui‐Hsi Wang is a scholar working on Immunology, Physiology and Immunology and Allergy. According to data from OpenAlex, Yui‐Hsi Wang has authored 38 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 11 papers in Physiology and 10 papers in Immunology and Allergy. Recurrent topics in Yui‐Hsi Wang's work include T-cell and B-cell Immunology (12 papers), Asthma and respiratory diseases (11 papers) and Dermatology and Skin Diseases (8 papers). Yui‐Hsi Wang is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Asthma and respiratory diseases (11 papers) and Dermatology and Skin Diseases (8 papers). Yui‐Hsi Wang collaborates with scholars based in United States, Germany and Thailand. Yui‐Hsi Wang's co-authors include Yong-Jun Liu, Tomoki� Ito, Max D. Cooper, Michel Gilliet, F. Xiao‐Feng Qin, Olivia Perng, Pornpimon Angkasekwinai, Yongjun Liu, Chen Dong and Josh Gregorio and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Yui‐Hsi Wang

37 papers receiving 3.6k citations

Hit Papers

Plasmacytoid dendritic cells prime IL-10–producing T regu... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Yui‐Hsi Wang
Comparison fields: 5 of 94
  • Immunology 2.6k
  • Physiology 1.0k
  • Immunology and Allergy 727
  • Dermatology 505
  • Surgery 436
Replace Yui-Hsi Wang with:
Yui-Hsi Wang United States
Omar Duramad United States
Shino Hanabuchi United States
Koubun Yasuda Japan
Toshiyuki Hori Japan
David Yen Germany
Claire Emson United States
Alexander M. Owyang United States
John Simard United States
Kui Shin Voo United States
Yui-Hsi Wang United States View profile →
Citations per field, relative to Yui‐Hsi Wang
Yui‐Hsi Wang · 1×
Citations per year, relative to Yui‐Hsi Wang
Yui‐Hsi Wang · 1×

Countries citing papers authored by Yui‐Hsi Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# Work Indexed citations
1 7
2 5
3 43
4 113
5 45
6 156
7 28
8 108
9
Plasmacytoid dendritic cells prime IL-10–producing T regulatory cells by inducible costimulator ligand breakdown →
503
10 12
11 447
12 2
13 144
14 256
15 162
16 86
17 53
18 179
19 192
20 30

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.

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