Yuhua Wang
- Immunology top 0.5%
- Dermatology top 0.2%
- Rheumatology top 0.5%
- Hematology top 1%
- Physiology top 5%
- Co-authors
- Newman YeildingMark LebwohlRichard G. LangleyShu LiGerald G. KruegerCynthia GuzzoLisa T. DooleyPhilippe Szapary
- Topics
- Functional Brain Connectivity Studies (11 papers)Obsessive-Compulsive Spectrum Disorders (11 papers)Psoriasis: Treatment and Pathogenesis (10 papers)
- Cited by
- DermatologyImmunologyRheumatology
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yuhua Wang
73 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 2.7k
- Dermatology 1.1k
- Rheumatology 1.1k
- Hematology 726
- Physiology 578
Countries citing papers authored by Yuhua Wang
This map shows the geographic impact of Yuhua 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 Yuhua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhua Wang more than expected).
Fields of papers citing papers by Yuhua Wang
This network shows the impact of papers produced by Yuhua 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 Yuhua Wang. The network helps show where Yuhua Wang may publish in the future.
Co-authorship network of co-authors of Yuhua Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Wang. A scholar is included among the top collaborators of Yuhua 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 Yuhua Wang. Yuhua 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 23 | |
| 12 | 35 | |
| 13 | 9 | |
| 14 | 40 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | Efficacy and safety of ustekinumab in patients with active psoriatic arthritis: 1 year results of the phase 3, multicentre, double-blind, placebo-controlled PSUMMIT 1 trialbreakdown → | 606 |
| 19 | 1 | |
| 20 | A Human Interleukin-12/23 Monoclonal Antibody for the Treatment of Psoriasisbreakdown → | 588 |
About Yuhua Wang
Yuhua Wang is a scholar working on Complementary and alternative medicine, Rheumatology and Behavioral Neuroscience, having authored 79 papers that have together received 4.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (11 papers), Obsessive-Compulsive Spectrum Disorders (11 papers) and Psoriasis: Treatment and Pathogenesis (10 papers). The work is most often cited by research in Dermatology (1.1k citations), Immunology (2.7k citations) and Rheumatology (1.1k citations). Yuhua Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Newman Yeilding, Mark Lebwohl, Richard G. Langley, Shu Li, Gerald G. Krueger, Cynthia Guzzo, Lisa T. Dooley, Philippe Szapary, Kim Papp and Kristian Reich. Their work appears in journals such as New England Journal of Medicine, The Lancet 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.