Pu Wang

2.6k citations
69 papers · 2.1k · 1 hit paper · h-index 22

Impact in

Papers in

Pu Wang

65 papers receiving 2.0k citations

Pu Wang's Hit Papers

IL-2 Is Essential for TGF-β to Convert Naive CD4+CD25− Cells to CD25+Foxp3+ Regulatory T Cells and for Expansion of These Cells 2007 · 514 citations
5140+6+12Years since publication100200300400500

Peers

Pu Wang
Comparison fields: 5 of 147
  • Immunology 586
  • Biological Psychiatry 45
  • Atomic and Molecular Physics, and Optics 368
  • Oncology 257
  • Complementary and alternative medicine 65
Replace Min Zhuang with:
Min Zhuang China
Hiroyuki Inoue Japan
Feifei Hu China
Dominik Lenz Brazil
Frank Fischer Germany
Seonghan Kim South Korea
Subhra Mohapatra United States
Pu Wang China
Xintong Wang China
Pu Wang relative to Min Zhuang China Min Zhuang's profile →
Citations per field
00.5×2×3×4×5×
Min Zhuang · 1×
Citations per year

Countries citing papers authored by Pu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IL-2 Is Essential for TGF-β to Convert Naive CD4+CD25− Cells to CD25+Foxp3+ Regulatory T Cells and for Expansion of These Cells
Hit paper breakdown →
2007514
2 2015167
3 2004127
4 2005124
5 2012119
6 2015105
7 201584
8 201559
9 201659
10 202352
11 200847
12 201539
13 201236
14 201933
15 202332
16 201626
17 202426
18 202026
19 200525
20 201624

About Pu Wang

Pu Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Molecular Biology, Immunology and Oncology, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (19 papers), Photonic Crystal and Fiber Optics (18 papers), Laser-Matter Interactions and Applications (14 papers), Viral-associated cancers and disorders (6 papers), Advanced Fiber Optic Sensors (5 papers), Herpesvirus Infections and Treatments (4 papers), Polyomavirus and related diseases (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Immunology (586 citations), Biological Psychiatry (45 citations), Atomic and Molecular Physics, and Optics (368 citations), Oncology (257 citations) and Complementary and alternative medicine (65 citations). Pu Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include David A. Horwitz, Juhua Wang, Song Guo Zheng, J. Dixon Gray, Zhaochen Cheng, Youhai H. Chen, Shijun J. Zheng, Huihui Li, Galit Tsabary and Bingjin Li. Their work appears in journals such as Journal of Virology, Optics Express, IEEE Photonics Technology Letters, Angewandte Chemie International Edition and Scientific Reports.

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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