Yi-Hong Wang
- Immunology top 0.1%
- Oncology top 2%
- Molecular Biology top 10%
- Dermatology top 0.5%
- Physiology top 2%
- Co-authors
- Chen DongRoza NurievaXuexian O. YangQiang TianSeon Hee ChangYong‐Jun LiuYing WangLeroy Hood
- Topics
- T-cell and B-cell Immunology (15 papers)Immune Cell Function and Interaction (13 papers)Immunotherapy and Immune Responses (11 papers)
- Cited by
- ImmunologyDermatologyOncology
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Yi-Hong Wang
19 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 8.8k
- Oncology 1.6k
- Molecular Biology 1.2k
- Dermatology 895
- Physiology 813
Countries citing papers authored by Yi-Hong Wang
This map shows the geographic impact of Yi-Hong 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 Yi-Hong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Hong Wang more than expected).
Fields of papers citing papers by Yi-Hong Wang
This network shows the impact of papers produced by Yi-Hong 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 Yi-Hong Wang. The network helps show where Yi-Hong Wang may publish in the future.
Co-authorship network of co-authors of Yi-Hong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Hong Wang. A scholar is included among the top collaborators of Yi-Hong 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 Yi-Hong Wang. Yi-Hong 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 | 17 | |
| 2 | 251 | |
| 3 | 81 | |
| 4 | 147 | |
| 5 | Follicular regulatory T cells expressing Foxp3 and Bcl-6 suppress germinal center reactionsbreakdown → | 877 |
| 6 | 5 | |
| 7 | Bcl6 Mediates the Development of T Follicular Helper Cellsbreakdown → | 1149 |
| 8 | 45 | |
| 9 | Identification of IL-17-producing FOXP3+regulatory T cells in humansbreakdown → | 559 |
| 10 | Generation of T Follicular Helper Cells Is Mediated by Interleukin-21 but Independent of T Helper 1, 2, or 17 Cell Lineagesbreakdown → | 957 |
| 11 | 256 | |
| 12 | 428 | |
| 13 | 12 | |
| 14 | 33 | |
| 15 | Plasmacytoid dendritic cells sense self-DNA coupled with antimicrobial peptidebreakdown → | 1447 |
| 16 | 116 | |
| 17 | 126 | |
| 18 | Hassall's corpuscles instruct dendritic cells to induce CD4+CD25+ regulatory T cells in human thymusbreakdown → | 565 |
| 19 | A distinct lineage of CD4 T cells regulates tissue inflammation by producing interleukin 17breakdown → | 3452 |
About Yi-Hong Wang
Yi-Hong Wang is a scholar working on Immunology, Virology and Microbiology, having authored 19 papers that have together received 10.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (13 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Immunology (8.8k citations), Dermatology (895 citations) and Oncology (1.6k citations). Yi-Hong Wang has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Chen Dong, Roza Nurieva, Xuexian O. Yang, Qiang Tian, Seon Hee Chang, Yong‐Jun Liu, Ying Wang, Leroy Hood, Heon Park and Zhou Zhu. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.