Gang Zhou

6.0k total citations · 1 hit paper
71 papers, 4.6k citations indexed

About

Gang Zhou is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Gang Zhou has authored 71 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 33 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Gang Zhou's work include Immune Cell Function and Interaction (26 papers), Immunotherapy and Immune Responses (23 papers) and Cancer Immunotherapy and Biomarkers (16 papers). Gang Zhou is often cited by papers focused on Immune Cell Function and Interaction (26 papers), Immunotherapy and Immune Responses (23 papers) and Cancer Immunotherapy and Biomarkers (16 papers). Gang Zhou collaborates with scholars based in United States, China and Canada. Gang Zhou's co-authors include Hyam I. Levitsky, Charles G. Drake, Zhi-Chun Ding, Drew M. Pardoll, Ching-Tai Huang, Dallas B. Flies, Dario A.A. Vignali, Sowmya Ravi, Jonathan D. Powell and Jeanne Kowalski and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Gang Zhou

68 papers receiving 4.5k citations

Hit Papers

Role of LAG-3 in Regulatory T Cells 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gang Zhou United States 34 2.9k 2.1k 1.1k 504 297 71 4.6k
Weihua Xiao China 36 2.4k 0.8× 1.7k 0.8× 1.3k 1.2× 489 1.0× 221 0.7× 82 3.9k
Yaron Carmi Israel 26 2.5k 0.9× 1.8k 0.9× 1.8k 1.7× 510 1.0× 339 1.1× 39 4.8k
Jack D. Bui United States 33 2.5k 0.9× 1.5k 0.7× 1.3k 1.3× 353 0.7× 194 0.7× 81 4.2k
Kenji Chamoto Japan 35 2.6k 0.9× 2.0k 1.0× 1.0k 1.0× 393 0.8× 516 1.7× 85 4.4k
Tiziana Schioppa Italy 20 2.9k 1.0× 2.0k 1.0× 1.5k 1.4× 846 1.7× 358 1.2× 32 4.7k
Viktor Umansky Germany 31 4.4k 1.5× 2.9k 1.4× 1.7k 1.6× 605 1.2× 374 1.3× 60 6.3k
Jennifer D. Wu United States 38 3.8k 1.3× 2.6k 1.3× 1.5k 1.4× 596 1.2× 631 2.1× 77 6.2k
Ilaria Marigo Italy 31 4.7k 1.6× 2.2k 1.1× 1.2k 1.1× 349 0.7× 218 0.7× 43 5.9k
Alejandro López‐Soto Spain 32 2.3k 0.8× 1.6k 0.8× 1.3k 1.2× 393 0.8× 650 2.2× 63 4.4k
Asís Palazón Spain 30 2.0k 0.7× 1.5k 0.7× 1.4k 1.3× 1.1k 2.2× 287 1.0× 53 4.0k

Countries citing papers authored by Gang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Gang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Zhou. A scholar is included among the top collaborators of Gang Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Zhou. Gang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kyritsi, Konstantina, Rafał Pacholczyk, Eugene F. Douglass, et al.. (2025). β-blocker suppresses both tumoral sympathetic neurons and perivascular macrophages during oncolytic herpes virotherapy. Journal for ImmunoTherapy of Cancer. 13(4). e011322–e011322. 1 indexed citations
2.
Yang, Wei, Jianwen Li, Fangchao Jiang, et al.. (2024). Calcium nanoparticles target and activate T cells to enhance anti-tumor function. Nature Communications. 15(1). 10095–10095. 8 indexed citations
3.
Aboelella, Nada S., Zhi‐Chun Ding, Hongyan Xu, et al.. (2022). Indomethacin-induced oxidative stress enhances death receptor 5 signaling and sensitizes tumor cells to adoptive T-cell therapy. Journal for ImmunoTherapy of Cancer. 10(7). e004938–e004938. 10 indexed citations
4.
Ding, Zhi-Chun, Huidong Shi, Nada S. Aboelella, et al.. (2020). Persistent STAT5 activation reprograms the epigenetic landscape in CD4 + T cells to drive polyfunctionality and antitumor immunity. Science Immunology. 5(52). 50 indexed citations
6.
Piazza, Gary A., Xi Chen, Yulia Maxuitenko, et al.. (2020). PDE5 and PDE10 inhibition activates cGMP/PKG signaling to block Wnt/β-catenin transcription, cancer cell growth, and tumor immunity. Drug Discovery Today. 25(8). 1521–1527. 51 indexed citations
7.
Zhou, Gang, Morley D. Hollenberg, Harissios Vliagoftis, & Kevin P. Kane. (2019). Protease-Activated Receptor 2 Agonist as Adjuvant: Augmenting Development of Protective Memory CD8 T Cell Responses Induced by Influenza Virosomes. The Journal of Immunology. 203(2). 441–452. 10 indexed citations
8.
Ouzounova, Maria, Eunmi Lee, Raziye Piranlioglu, et al.. (2017). Monocytic and granulocytic myeloid derived suppressor cells differentially regulate spatiotemporal tumour plasticity during metastatic cascade. Nature Communications. 8(1). 14979–14979. 287 indexed citations
9.
Zeng, Rui, et al.. (2016). Study on Heavy Metals Pollution in Sediments from North of Taihu Lake and Its Biological Toxicity. 11(3). 210. 1 indexed citations
10.
Kuczma, Michal, Wenhu Pi, James M. Campbell, et al.. (2016). Combined Stereotactic Body Radiation Therapy and Immunotherapy on 4T1 Triple-Negative Breast Cancer Murine Model. International Journal of Radiation Oncology*Biology*Physics. 96(2). E583–E583. 2 indexed citations
11.
Ding, Zhi-Chun, Xiaoyun Lu, Miao Yu, et al.. (2014). Immunosuppressive Myeloid Cells Induced by Chemotherapy Attenuate Antitumor CD4+ T-Cell Responses through the PD-1–PD-L1 Axis. Cancer Research. 74(13). 3441–3453. 109 indexed citations
12.
Meng, Wei, et al.. (2012). Influence of Pollutants Exported from the Yangtze River Basin on Water Quality in the Estuary. The Research of Environmental Sciences. 25(10). 1126–1132. 1 indexed citations
13.
Ma, Yanbing, Qingdong Guan, Aiping Bai, et al.. (2009). Targeting TGF-β1 by employing a vaccine ameliorates fibrosis in a mouse model of chronic colitis. Inflammatory Bowel Diseases. 16(6). 1040–1050. 44 indexed citations
14.
Zhou, Gang. (2008). Research Progress on the Pyrethroid Pesticide Residue Degradation Dynamics in Farm Produce. Anhui nongye kexue. 1 indexed citations
15.
Zhou, Gang & Hyam I. Levitsky. (2007). Natural Regulatory T Cells and De Novo-Induced Regulatory T Cells Contribute Independently to Tumor-Specific Tolerance. The Journal of Immunology. 178(4). 2155–2162. 174 indexed citations
16.
Huang, Ching-Tai, David L. Huso, Tianhong Wang, et al.. (2003). CD4+ T Cells Pass Through an Effector Phase During the Process of In Vivo Tolerance Induction. The Journal of Immunology. 170(8). 3945–3953. 59 indexed citations
17.
Zhang, Fengying, et al.. (2002). Electron microscopy of pathologen of appendage shaking disease of Eriocheir sinensis. Journal of Dalian Fisheries University. 17(4). 336–340. 5 indexed citations
18.
Lan, Yeqing, Gang Zhou, Zhenghua Liu, & Xiao Huang. (2000). Pyrite oxidation under different conditions.. Nanjing Nongye Daxue xuebao. 23(1). 81–84. 3 indexed citations
19.
Zhou, Gang. (2000). Field Comparisons of Bed Load Samplers from USA and China. Journal of Sediment Research.
20.
Zhou, Gang, et al.. (1998). Studies of Distribution Pattern of Flora of FLological and Economic Type of Protecting Forest Stands in the Huangtang Small Watershed.. Shengtaixue zazhi. 17(6). 7–13. 1 indexed citations

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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