Pin Wang

7.9k citations
141 papers · 6.1k indexed · 2 hit papers · h-index 43
  • Immunology top 1%
    • Immunotherapy and Immune Responses 22
    • Immune Cell Function and Interaction 19
  • Oncology top 1%
    • CAR-T cell therapy research 43
    • Nanoparticle-Based Drug Delivery 9
    • RNA Interference and Gene Delivery 35
    • Advanced biosensing and bioanalysis techniques 10
    • CRISPR and Genetic Engineering 8
    • Virus-based gene therapy research 36

Pin Wang

136 papers receiving 6.0k citations

Hit Papers

Allog...232009202620142020200400600

Peers

Pin Wang
Comparison fields: 5 of 138
  • Immunology 1.8k
  • Oncology 2.0k
  • Cancer Research 907
  • Biomaterials 770
  • Molecular Biology 2.9k
Replace Yong‐Guang Yang with:
Yong‐Guang Yang China
Yongxiang Zhao China
Bruce A. Sullenger United States
Pirjo Laakkonen Finland
Tal Zaks United States
Michael S. Goldberg United States
Heikyung Suh United States
Shinsaku Nakagawa Japan
Ying K. Tam United States
Kathryn E. Luker United States
Pin Wang relative to Yong‐Guang Yang China Yong‐Guang Yang's profile →
Citations per field
00.5×1.5×2.2×
Yong‐Guang Yang · 1×
Citations per year

Countries citing papers authored by Pin Wang

Since Specialization
Citations

This map shows the geographic impact of Pin 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 Pin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Wang more than expected).

Fields of papers citing papers by Pin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pin 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 Pin Wang. The network helps show where Pin Wang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Pin Wang, 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 Pin Wang Line = papers co-authored together Pin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Allogeneic CD33-directed CAR-NKT cells for the treatment of bone marrow-resident myeloid malignanciesbreakdown →
202523
2 20250
3 20250
4 202416
5 20238
6 20234
7 202323
8 20235
9 20231
10 20222
11 202152
12 202133
13 202013
14 2018143
15 2017252
16 201734
17 201711
18 201135
19 200836
20 2006122

About Pin Wang

Pin Wang is a scholar working on Immunology, Oncology, Genetics, Virology and Biomaterials, having authored 141 papers that have together received 6.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (43 papers), Virus-based gene therapy research (36 papers), RNA Interference and Gene Delivery (35 papers), Immunotherapy and Immune Responses (22 papers), Immune Cell Function and Interaction (19 papers), Advanced biosensing and bioanalysis techniques (10 papers), Nanoparticle-Based Drug Delivery (9 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Immunology (1.8k citations), Oncology (2.0k citations), Cancer Research (907 citations), Biomaterials (770 citations) and Molecular Biology (2.9k citations). Pin Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yarong Liu, Kye‐Il Joo, Li Lin, Xuetao Cao, Jin Hou, Biliang Hu, Zhugang Wang, Xingguang Liu, Feng Ma and Elizabeth L. Siegler. Their work appears in journals such as Human Gene Therapy, Molecular Therapy, Nature Communications, The Journal of Immunology and PLoS ONE.

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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