PingAr Yang

3.8k citations
58 papers · 3.3k · h-index 31

Impact in

  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Psoriasis: Treatment and Pathogenesis
    • Immune Response and Inflammation
    • Systemic Lupus Erythematosus Research

Papers in

    • T-cell and B-cell Immunology 25
    • Immune Cell Function and Interaction 16
    • Immunotherapy and Immune Responses 13
    • CAR-T cell therapy research 5

PingAr Yang

58 papers receiving 3.2k citations

Peers

PingAr Yang
Comparison fields: 5 of 105
  • Immunology 1.9k
  • Rheumatology 589
  • Oncology 474
  • Genetics 426
  • Molecular Biology 937
Replace Tomohisa Okamura with:
Tomohisa Okamura Japan
Renu K. JAIN United States
David W. LaFleur United States
Elisha D. O. Roberson United States
Yonglian Sun United States
Stacey N. Walters Australia
Marion Espéli France
Inga‐Lill Mårtensson Sweden
Markus Napirei Germany
PingAr Yang relative to Tomohisa Okamura Japan Tomohisa Okamura's profile →
Citations per field
00.5×2×2.6×
Tomohisa Okamura · 1×
Citations per year

Countries citing papers authored by PingAr Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with PingAr Yang Line = papers co-authored together PingAr Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007625
2 2001190
3 1996142
4 1996141
5 1999113
6 1995111
7 201094
8 201493
9 200083
10 201379
11 200378
12 200377
13 199875
14 199875
15 201474
16 200871
17 200768
18 200565
19 201157
20 200555

About PingAr Yang

PingAr Yang is a scholar working on Immunology, Oncology, Genetics, Rheumatology and Molecular Biology, having authored 58 papers that have together received 3.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (16 papers), Immunotherapy and Immune Responses (13 papers), Virus-based gene therapy research (10 papers), Cell death mechanisms and regulation (8 papers), CAR-T cell therapy research (5 papers), Systemic Lupus Erythematosus Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (1.9k citations), Rheumatology (589 citations), Oncology (474 citations), Genetics (426 citations) and Molecular Biology (937 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, Bao Luo and Robert Warren Williams. 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.

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