Caicun Zhou

2.5k total citations · 2 hit papers
49 papers, 1.7k citations indexed

About

Caicun Zhou is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Caicun Zhou has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 23 papers in Immunology and 17 papers in Molecular Biology. Recurrent topics in Caicun Zhou's work include Immunotherapy and Immune Responses (13 papers), Lung Cancer Research Studies (13 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Caicun Zhou is often cited by papers focused on Immunotherapy and Immune Responses (13 papers), Lung Cancer Research Studies (13 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Caicun Zhou collaborates with scholars based in China, United States and Poland. Caicun Zhou's co-authors include Yayi He, Sha Zhao, Minlin Jiang, Bin Chen, Lei Wang, Wei Li, Fred R. Hirsch, Chao Zhao, Peixin Chen and Xuefei Li and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Caicun Zhou

46 papers receiving 1.7k citations

Hit Papers

cGAS-STING, an important ... 2020 2026 2022 2024 2020 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caicun Zhou China 20 846 802 693 279 251 49 1.7k
B. Leticia Rodriguez United States 16 790 0.9× 579 0.7× 631 0.9× 193 0.7× 173 0.7× 28 1.5k
Sreya Bagchi United States 10 984 1.2× 778 1.0× 512 0.7× 370 1.3× 186 0.7× 14 1.8k
Helena Escuin-Ordinas United States 13 1.4k 1.6× 1.0k 1.3× 644 0.9× 273 1.0× 175 0.7× 19 2.1k
Minlin Jiang China 12 410 0.5× 453 0.6× 574 0.8× 288 1.0× 246 1.0× 29 1.2k
Julian A. Marin‐Acevedo United States 13 1.1k 1.3× 732 0.9× 354 0.5× 358 1.3× 151 0.6× 27 1.7k
Leopoldo Luistro United States 15 1.0k 1.2× 1.1k 1.4× 777 1.1× 183 0.7× 114 0.5× 28 2.2k
Iñaki Etxeberría Spain 17 1.1k 1.2× 1.1k 1.4× 616 0.9× 137 0.5× 171 0.7× 25 1.9k
Kim C. Ohaegbulam United States 14 1.2k 1.4× 884 1.1× 416 0.6× 339 1.2× 180 0.7× 19 1.8k
Anupam M. Desai United States 7 1.3k 1.5× 870 1.1× 357 0.5× 311 1.1× 112 0.4× 11 1.9k
M. Ángela Aznar Spain 18 1.5k 1.8× 1.5k 1.9× 715 1.0× 185 0.7× 201 0.8× 23 2.5k

Countries citing papers authored by Caicun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Caicun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caicun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Caicun Zhou. A scholar is included among the top collaborators of Caicun 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 Caicun Zhou. Caicun 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.
Wu, Fan, Peng Yuan, Yulan Zeng, et al.. (2024). 101P Circulating tumor DNA minimal residual disease predicts the risk of progression after long-term response to first-line immunotherapy in advanced NSCLC. Annals of Oncology. 35. S254–S254. 1 indexed citations
2.
Zhang, Chu, Mingzhu Xu, Tao Li, et al.. (2024). Yu-Xue-Bi capsule ameliorates aggressive synovitis and joint damage in rheumatoid arthritis via modulating the SUCNR1/HIF-1α/TRPV1 axis. Phytomedicine. 136. 156354–156354. 1 indexed citations
3.
Zhou, Caicun & Aizhen Xiong. (2024). OA02.04 A Phase III Study of Rilertinib Versus Gefitinib as First-Line Therapy for Patients with Locally Advanced or Metastatic EGFR-Mutated NSCLC. Journal of Thoracic Oncology. 19(10). S11–S11. 1 indexed citations
6.
Jiang, Minlin, Keyi Jia, Lei Wang, et al.. (2021). Alterations of DNA damage response pathway: Biomarker and therapeutic strategy for cancer immunotherapy. Acta Pharmaceutica Sinica B. 11(10). 2983–2994. 203 indexed citations breakdown →
7.
He, Yayi, Xiaogang Liu, Hao Wang, et al.. (2021). Mechanisms of Progression and Heterogeneity in Multiple Nodules of Lung Adenocarcinoma. Small Methods. 5(6). e2100082–e2100082. 11 indexed citations
8.
Chen, Peixin, Liping Zhang, Wei Zhang, et al.. (2020). Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer. Journal for ImmunoTherapy of Cancer. 8(2). e001391–e001391. 24 indexed citations
9.
Guo, Haoyue, Yayi He, Peixin Chen, et al.. (2020). Combinational immunotherapy based on immune checkpoints inhibitors in small cell lung cancer: is this the beginning to reverse the refractory situation?. Journal of Thoracic Disease. 12(10). 6070–6089. 5 indexed citations
10.
Jiang, Minlin, Peixin Chen, Lei Wang, et al.. (2020). cGAS-STING, an important pathway in cancer immunotherapy. Journal of Hematology & Oncology. 13(1). 81–81. 432 indexed citations breakdown →
11.
He, Yayi, Keyi Jia, Rafał Dziadziuszko, et al.. (2019). Galectin-9 in non-small cell lung cancer. Lung Cancer. 136. 80–85. 36 indexed citations
12.
Jia, Keyi, Yayi He, Rafał Dziadziuszko, et al.. (2019). T cell immunoglobulin and mucin-domain containing-3 in non-small cell lung cancer. Translational Lung Cancer Research. 8(6). 895–906. 34 indexed citations
13.
He, Yayi, Leslie Rozeboom, Christopher J. Rivard, et al.. (2017). MHC class II expression in lung cancer. Lung Cancer. 112. 75–80. 89 indexed citations
14.
Jiang, Tao & Caicun Zhou. (2017). P3.02c-049 Dendritic Cells Modified with Tumor-Associated Antigen Gene Demonstrate Enhanced Antitumor Effect against Lung Cancer. Journal of Thoracic Oncology. 12(1). S1304–S1305. 1 indexed citations
15.
He, Yayi, Rafał Dziadziuszko, Christopher J. Rivard, et al.. (2016). MHC class II in lung cancer. Annals of Oncology. 27. vi16–vi16.
16.
Wang, Yongsheng, Yinhua Wang, Hongping Xia, et al.. (2012). MicroRNA-214 Regulates the Acquired Resistance to Gefitinib via the PTEN/AKT Pathway in EGFR-mutant Cell Lines. Asian Pacific Journal of Cancer Prevention. 13(1). 255–260. 102 indexed citations
17.
Li, Wei, Bo Su, Shuyan Meng, et al.. (2011). RGD-targeted paramagnetic liposomes for early detection of tumor: In vitro and in vivo studies. European Journal of Radiology. 80(2). 598–606. 24 indexed citations
18.
Zhou, Caicun. (2010). Study on angiogenesis-targeting peptide modified iron oxide nanoparticles used in local magnetic hyperthermia in tumor-bearing nude mouse models. Tumori. 1 indexed citations
19.
Meng, Shuyan, Wěi Li, Yongmei Ding, et al.. (2010). Enhanced antitumor effect of novel dual-targeted paclitaxel liposomes. Nanotechnology. 21(41). 415103–415103. 49 indexed citations
20.
Zhou, Caicun. (2008). The International Association for the Study of Lung Cancer Staging Project: Proposals Regarding the Clinical Staging of Small Cell Lung Cancer in the Forthcoming (Seventh) Edition of the Tumor,Node,Metastasis Classification for Lung Cancer. Journal of Evidence-Based Medicine. 4 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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