John Wang
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Psoriasis: Treatment and Pathogenesis
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 4
- Immunodeficiency and Autoimmune Disorders 2
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- John D. Mountz (6 shared papers)Hui‐Chen Hsu (5 shared papers)PingAr Yang (5 shared papers)Robert H. Carter (2 shared papers)Qi Wu (2 shared papers)Robert W. Williams (1 shared paper)Hui Xu (1 shared paper)Albert Tousson (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)The FASEB Journal (2 papers)Molecular Therapy (1 paper)Scientific Reports (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
John Wang
11 papers receiving 738 citations
John Wang's Hit Papers
Peers
Comparison fields: 5 of 77
- Immunology 551
- Rheumatology 178
- Virology 46
- Biological Psychiatry 14
- Oncology 111
Countries citing papers authored by John Wang
This map shows the geographic impact of John 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 John Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Wang more than expected).
Fields of papers citing papers by John Wang
This network shows the impact of papers produced by John 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 John Wang. The network helps show where John Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside John Wang, 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 | Interleukin 17–producing T helper cells and interleukin 17 orchestrate autoreactive germinal center development in autoimmune BXD2 mice Hit paper breakdown → | 2007 | 581 |
| 2 | 2007 | 62 | |
| 3 | 2012 | 61 | |
| 4 | 2021 | 13 | |
| 5 | 2017 | 9 | |
| 6 | 2008 | 8 | |
| 7 | 2019 | 8 | |
| 8 | 2024 | 2 | |
| 9 | 2007 | 1 | |
| 10 | 2008 | 1 | |
| 11 | 2008 | 1 |
About John Wang
John Wang is a scholar working on Immunology, Virology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Molecular Biology, having authored 11 papers that have together received 747 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), HIV Research and Treatment (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Immunology (551 citations), Rheumatology (178 citations), Virology (46 citations), Biological Psychiatry (14 citations) and Oncology (111 citations). John Wang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include John D. Mountz, Hui‐Chen Hsu, PingAr Yang, Robert H. Carter, Qi Wu, Robert W. Williams, Hui Xu, Albert Tousson, Jay K. Kolls and Robin G. Lorenz. Their work appears in journals such as The Journal of Immunology, The FASEB Journal, Molecular Therapy, Scientific Reports and Journal of Leukocyte Biology.
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.