Zhenmin Ye

602 citations
22 papers · 471 · h-index 13

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cancer Research and Treatments

Papers in

    • Immunotherapy and Immune Responses 10
    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 8
    • Virus-based gene therapy research 8

Zhenmin Ye

22 papers receiving 463 citations

Peers

Zhenmin Ye
Comparison fields: 5 of 65
  • Immunology 216
  • Biotechnology 59
  • Oncology 162
  • Cancer Research 51
  • Genetics 99
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D. Carbone United States
Gerd Maass Austria
Jason Debasitis United States
Howard J. Leung United States
Maren Cam United States
Bo Luan United States
Il‐Kyu Choi South Korea
Peter Buttgereit Germany
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Citations per field
00.5×10×14.5×
D. Carbone · 1×
Citations per year

Countries citing papers authored by Zhenmin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Zhenmin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200667
2 200857
3 201042
4 200931
5 200730
6 200729
7 201627
8 200825
9 200623
10 200921
11
Type 1 CD8+ T cells are superior to type 2 CD8+ T cells in tumor immunotherapy due to their efficient cytotoxicity, prolonged survival and type 1 immune modulation.
200721
12 200717
13 200616
14 200812
15 200612
16 200810
17 200810
18 20108
19 20076
20 20085

About Zhenmin Ye

Zhenmin Ye is a scholar working on Immunology, Genetics, Biotechnology, Oncology and Molecular Biology, having authored 22 papers that have together received 471 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Cancer Research and Treatments (9 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Virus-based gene therapy research (8 papers), CAR-T cell therapy research (6 papers), Cytokine Signaling Pathways and Interactions (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Immunology (216 citations), Biotechnology (59 citations), Oncology (162 citations), Cancer Research (51 citations) and Genetics (99 citations). Zhenmin Ye has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jim Xiang, Jicheng Yang, Weihua Sheng, Yufeng Xie, Siguo Hao, Haifeng Zhang, Hui Huang, Fang Li, Junbao Yang and Shulin Xu. Their work appears in journals such as Cancer Biotherapy and Radiopharmaceuticals, Biochemical and Biophysical Research Communications, Cancer Investigation, Cancer Letters and Journal of Interferon & Cytokine Research.

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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