PingAr Yang
- Immunology top 1%
- T-cell and B-cell Immunology 29
- Immune Cell Function and Interaction 20
- Immunotherapy and Immune Responses 18
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 5
- Oncology top 5%
- CAR-T cell therapy research 5
- Genetics top 5%
- Virus-based gene therapy research 10
- Molecular Biology top 10%
- Cell death mechanisms and regulation 8
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- John D. MountzHui‐Chen HsuQi WuHuang‐Ge ZhangAlbert ToussonHorst BluethmannCarl K. EdwardsTong Zhou
- Cited by
- ImmunologyRheumatologyOncology
- Journals
- The Journal of Immunology (20 papers)Molecular Therapy (3 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
PingAr Yang
60 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 2.0k
- Rheumatology 622
- Oncology 480
- Genetics 412
- Molecular Biology 939
Countries citing papers authored by PingAr Yang
This map shows the geographic impact of PingAr Yang'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 PingAr Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PingAr Yang more than expected).
Fields of papers citing papers by PingAr Yang
This network shows the impact of papers produced by PingAr Yang. 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 PingAr Yang. The network helps show where PingAr Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside PingAr Yang, 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 | 2025 | 0 | |
| 2 | 2014 | 19 | |
| 3 | 2011 | 2 | |
| 4 | 2011 | 1 | |
| 5 | 2011 | 25 | |
| 6 | 2010 | 89 | |
| 7 | 2009 | 35 | |
| 8 | 2008 | 38 | |
| 9 | 2007 | 62 | |
| 10 | 2007 | 1 | |
| 11 | Interleukin 17–producing T helper cells and interleukin 17 orchestrate autoreactive germinal center development in autoimmune BXD2 micebreakdown → | 2007 | 581 |
| 12 | 2005 | 52 | |
| 13 | 2005 | 49 | |
| 14 | 2004 | 44 | |
| 15 | 2002 | 31 | |
| 16 | 2001 | 173 | |
| 17 | 2001 | 20 | |
| 18 | 1998 | 69 | |
| 19 | 1996 | 134 | |
| 20 | 1996 | 2 |
About PingAr Yang
PingAr Yang is a scholar working on Immunology, Rheumatology and Immunology and Allergy, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (29 papers), Immune Cell Function and Interaction (20 papers), Immunotherapy and Immune Responses (18 papers), Virus-based gene therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cell death mechanisms and regulation (8 papers), CAR-T cell therapy research (5 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Immunology (2.0k citations), Rheumatology (622 citations) and Oncology (480 citations). PingAr Yang has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include John D. Mountz, Hui‐Chen Hsu, Qi Wu, Huang‐Ge Zhang, Qi Wu, Albert Tousson, Horst Bluethmann, Carl K. Edwards, Tong Zhou and Bao Luo. Their work appears in journals such as The Journal of Immunology, Molecular Therapy, Journal of Clinical Investigation, Scandinavian Journal of Immunology and Human Gene Therapy.
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.