Yuquan Wei

55.2k citations
860 papers · 36.9k indexed · 18 hit papers · h-index 90

Impact in

Papers in

    • Immunotherapy and Immune Responses 93
    • Immune cells in cancer 38
    • Cancer, Hypoxia, and Metabolism 44

Yuquan Wei

844 papers receiving 36.4k citations

Hit Papers

Cancer vaccines: current status and future directions 2025 · 20 citations
2020122026201620212505007501000

Peers

Yuquan Wei
Comparison fields: 5 of 196
  • Molecular Medicine 1.7k
  • Immunology 6.9k
  • Biomaterials 4.2k
  • Cancer Research 4.7k
  • Oncology 7.3k
Replace Tim R. Mosmann with:
Tim R. Mosmann United States
Lin Wang China
Gautam Sethi Singapore
Qian Chen China
Leaf Huang United States
Carl Nathan United States
Robert J. Linhardt United States
Behzad Baradaran Iran
Shaker A. Mousa United States
Xing‐Jie Liang China
Yuquan Wei relative to Tim R. Mosmann United States Tim R. Mosmann's profile →
Citations per field
00.5×5.5×
Tim R. Mosmann · 1×
Citations per year

Countries citing papers authored by Yuquan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yuquan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20244
4 20246
5 20244
6 20236
7 202317
8 202357
9 20231
10 202239
11 201878
12 201860
13 201821
14 2016191
15 201524
16 201445
17 201385
18 201220
19 200949
20 200956

About Yuquan Wei

Yuquan Wei is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Biomaterials, having authored 860 papers that have together received 36.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (106 papers), Immunotherapy and Immune Responses (93 papers), Angiogenesis and VEGF in Cancer (64 papers), Virus-based gene therapy research (63 papers), Cancer, Hypoxia, and Metabolism (44 papers), Nanoparticle-Based Drug Delivery (43 papers), Cancer Research and Treatments (39 papers) and Immune cells in cancer (38 papers). The work is most often cited by research in Molecular Medicine (1.7k citations), Immunology (6.9k citations), Biomaterials (4.2k citations), Cancer Research (4.7k citations) and Oncology (7.3k citations). Yuquan Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiawei Wei, Zhiyong Qian, Changyang Gong, Xuelei Ma, Lijuan Chen, Xia Zhao, Feng Luo, Canhua Huang, Manni Wang and Yong Peng. Their work appears in journals such as Scientific Reports, Oncotarget, Bioorganic & Medicinal Chemistry Letters, PLoS ONE and Journal of Medicinal Chemistry.

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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