Chaoting Zhang

1.3k total citations
38 papers, 805 citations indexed

About

Chaoting Zhang is a scholar working on Oncology, Immunology and Surgery. According to data from OpenAlex, Chaoting Zhang has authored 38 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 18 papers in Immunology and 8 papers in Surgery. Recurrent topics in Chaoting Zhang's work include CAR-T cell therapy research (16 papers), Immune Cell Function and Interaction (14 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Chaoting Zhang is often cited by papers focused on CAR-T cell therapy research (16 papers), Immune Cell Function and Interaction (14 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Chaoting Zhang collaborates with scholars based in China, Ethiopia and United States. Chaoting Zhang's co-authors include Zheming Lu, Yaqi Pan, Ruiping Xu, Zhisong He, Chuanhai Guo, Hongchao Xiong, Yang Ke, Hong Cai, Ying Liu and Mengfei Liu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Biomaterials.

In The Last Decade

Chaoting Zhang

37 papers receiving 794 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chaoting Zhang 425 233 188 173 135 38 805
Yan Cao 178 0.4× 155 0.7× 90 0.5× 289 1.7× 313 2.3× 38 823
Xinming Song 429 1.0× 84 0.4× 231 1.2× 351 2.0× 69 0.5× 49 952
Wanzhuo Xie 219 0.5× 220 0.9× 57 0.3× 467 2.7× 97 0.7× 81 1.1k
Francesco Multinu 280 0.7× 154 0.7× 234 1.2× 274 1.6× 249 1.8× 78 1.6k
Audrey H. Choi 410 1.0× 55 0.2× 278 1.5× 203 1.2× 54 0.4× 35 982
Alexander C. von Roon 179 0.4× 86 0.4× 338 1.8× 148 0.9× 314 2.3× 15 861
Surasak Sangkhathat 284 0.7× 45 0.2× 439 2.3× 347 2.0× 64 0.5× 129 1.1k
Swati Garg 235 0.6× 65 0.3× 81 0.4× 287 1.7× 128 0.9× 47 788
Tao Xia 233 0.5× 83 0.4× 204 1.1× 191 1.1× 111 0.8× 60 765
Jeffrey Houlton 396 0.9× 81 0.3× 423 2.3× 346 2.0× 109 0.8× 46 1.2k

Countries citing papers authored by Chaoting Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoting Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoting Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoting Zhang. A scholar is included among the top collaborators of Chaoting Zhang 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 Chaoting Zhang. Chaoting Zhang 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.
Li, Xinyu, et al.. (2025). Framework humanization enhances GM3(Neu5Gc)-targeting CAR-T cell function by reducing tonic signaling. Frontiers in Immunology. 16. 1697732–1697732.
2.
Zhang, Chaoting, Huirong Ding, Zhihua Tian, et al.. (2025). NKG2D/CD28 chimeric receptor boosts cytotoxicity and durability of CAR-T cells for solid and hematological tumors. Experimental Hematology and Oncology. 14(1). 52–52. 1 indexed citations
3.
Li, Quan, Chaoting Zhang, Qiu Wang, et al.. (2024). Targeted LNPs deliver IL-15 superagonists mRNA for precision cancer therapy. Biomaterials. 317. 123047–123047. 7 indexed citations
4.
Guo, Rui, Zhili Li, Jiahao Shi, et al.. (2024). Hyaluronic acid coating of poly(β-amino ester)/mRNA polyplexes enables ultra-high transfection efficiency. Journal of Controlled Release. 378. 428–437. 2 indexed citations
5.
Zhang, Chaoting, et al.. (2024). Single-cell sequencing of tumour infiltrating T cells efficiently identifies tumour-specific T cell receptors based on the T cell activation score. Cancer Immunology Immunotherapy. 73(7). 123–123. 1 indexed citations
6.
Xiong, Wenjun, Yuehong Chen, Chaoting Zhang, et al.. (2023). Pharmacologic inhibition of IL11/STAT3 signaling increases MHC-I expression and T cell infiltration. Journal of Translational Medicine. 21(1). 416–416. 10 indexed citations
7.
Shen, Luyan, Chaoting Zhang, Likun Cui, et al.. (2022). Metabolic reprogramming by ex vivo glutamine inhibition endows CAR-T cells with less-differentiated phenotype and persistent antitumor activity. Cancer Letters. 538. 215710–215710. 50 indexed citations
8.
Li, Wenyi, Weidong Meng, Chaoting Zhang, et al.. (2022). Blockade of IL-6 inhibits tumor immune evasion and improves anti–PD-1 immunotherapy. Cytokine. 158. 155976–155976. 18 indexed citations
9.
Lei, Wen, Chaoting Zhang, Chunmei Yang, et al.. (2020). CD19-specific CAR T Cells that Express a PD-1/CD28 Chimeric Switch-Receptor are Effective in Patients with PD-L1–positive B-Cell Lymphoma. Clinical Cancer Research. 27(2). 473–484. 104 indexed citations
10.
Liu, Fangfang, Mengfei Liu, Ying Liu, et al.. (2020). Oral microbiome and risk of malignant esophageal lesions in a high-risk area of China: A nested case-control study. Chinese Journal of Cancer Research. 32(6). 742–754. 17 indexed citations
11.
Zhuo, Minglei, Tongtong An, Chaoting Zhang, & Ziping Wang. (2020). Characterization of Microbiota in Cancerous Lung and the Contralateral Non-Cancerous Lung Within Lung Cancer Patients. Frontiers in Oncology. 10. 1584–1584. 21 indexed citations
12.
13.
Zhang, Chaoting, Xueyuan Gu, Cheng Gu, & L. J. Evans. (2018). Multi-surface modeling of Ni(II) and Cd(II) partitioning in soils: Effects of salts and solid/liquid ratios. The Science of The Total Environment. 635. 859–866. 22 indexed citations
14.
Zhang, Chaoting, Rui Zhang, Zhiqiang Chen, et al.. (2018). Differential DNA methylation profiles of human B lymphocytes and Epstein-Barr virus-immortalized B lymphocytes. Chinese Journal of Cancer Research. 30(1). 104–111. 9 indexed citations
15.
Liu, Mengfei, Zhen Liu, Hong Cai, et al.. (2017). A Model To Identify Individuals at High Risk for Esophageal Squamous Cell Carcinoma and Precancerous Lesions in Regions of High Prevalence in China. Clinical Gastroenterology and Hepatology. 15(10). 1538–1546.e7. 44 indexed citations
16.
Liu, Fangfang, Chaoting Zhang, Qiuju Deng, et al.. (2017). Epidemiology of self-rated health in rural China: a population-based cross-sectional study. Scientific Reports. 7(1). 4459–4459. 13 indexed citations
17.
Lin, Tong, Tiebing Liu, Yu‐Cheng Lin, et al.. (2017). Serum levels of chemical elements in esophageal squamous cell carcinoma in Anyang, China: a case-control study based on machine learning methods. BMJ Open. 7(9). e015443–e015443. 9 indexed citations
18.
Liu, Fangfang, Qiuju Deng, Chanyuan Zhang, et al.. (2016). Human papillomavirus DNA positivity and seropositivity in rural Chinese men and women: a population-based cross-sectional study. Scientific Reports. 6(1). 26343–26343. 4 indexed citations
19.
Liu, Fangfang, Dong Hang, Qiuju Deng, et al.. (2015). Concurrence of oral and genital human papillomavirus infection in healthy men: a population-based cross-sectional study in rural China. Scientific Reports. 5(1). 15637–15637. 16 indexed citations
20.
Zhang, Chanyuan, Fangfang Liu, Zhisong He, et al.. (2014). Seroprevalence of Merkel Cell Polyomavirus in the General Rural Population of Anyang, China. PLoS ONE. 9(9). e106430–e106430. 35 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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