Boxuan Zhou

1.9k total citations · 1 hit paper
40 papers, 1.4k citations indexed

About

Boxuan Zhou is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Boxuan Zhou has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Boxuan Zhou's work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (9 papers) and Ferroptosis and cancer prognosis (8 papers). Boxuan Zhou is often cited by papers focused on MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (9 papers) and Ferroptosis and cancer prognosis (8 papers). Boxuan Zhou collaborates with scholars based in China, United States and Spain. Boxuan Zhou's co-authors include Shicheng Su, Jiaqian Li, Erwei Song, Xinwei Liu, Yue Xing, Jianing Chen, Fei Chen, Di Huang, Linbin Yang and Xueman Chen and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Boxuan Zhou

36 papers receiving 1.4k citations

Hit Papers

DNA of neutrophil extracellular traps promotes cancer met... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boxuan Zhou China 14 717 521 438 299 173 40 1.4k
Chahrazade Kantari‐Mimoun France 10 766 1.1× 388 0.7× 680 1.6× 186 0.6× 111 0.6× 11 1.3k
Xiaoqian Zhang China 6 824 1.1× 874 1.7× 411 0.9× 636 2.1× 138 0.8× 12 1.7k
Adrià Cañellas‐Socias Spain 6 576 0.8× 493 0.9× 1.0k 2.4× 271 0.9× 195 1.1× 7 1.5k
Crescenzo D’Alterio Italy 19 533 0.7× 371 0.7× 849 1.9× 186 0.6× 172 1.0× 36 1.3k
Jordi Badia-Ramentol Spain 6 588 0.8× 491 0.9× 1.1k 2.5× 298 1.0× 201 1.2× 7 1.5k
Naiara Perurena United States 10 631 0.9× 337 0.6× 359 0.8× 143 0.5× 153 0.9× 15 1.1k
Julia Gilhodes France 19 309 0.4× 513 1.0× 459 1.0× 218 0.7× 170 1.0× 38 1.2k
Elisa Rivas Spain 7 573 0.8× 455 0.9× 1.0k 2.3× 255 0.9× 182 1.1× 7 1.4k
Huocong Huang United States 18 464 0.6× 493 0.9× 803 1.8× 254 0.8× 114 0.7× 33 1.3k

Countries citing papers authored by Boxuan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Boxuan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boxuan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Boxuan Zhou. A scholar is included among the top collaborators of Boxuan 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 Boxuan Zhou. Boxuan 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.
Zhang, Xiangcheng, et al.. (2025). Bioinformatics analysis to identify environmental endocrine chemicals that target endometriosis genes. Ecotoxicology and Environmental Safety. 295. 118136–118136.
2.
Wu, Runxin, Shubin Yu, Aiwei Bi, et al.. (2025). Therapeutic targeting of circTNK2 with nanoparticles restores tamoxifen sensitivity and enhances NK cell-mediated immunity in ER-positive breast cancer. Cancer Letters. 627. 217823–217823. 2 indexed citations
3.
Qiu, Keqiang, et al.. (2025). Quercetin: A Natural Ally in Combating Breast Cancer. International Journal of Nanomedicine. Volume 20. 9155–9177. 4 indexed citations
4.
Zhang, Dehui�, Xu Dong, Yuhang Li, et al.. (2024). Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array. Nature Communications. 15(1). 2433–2433. 11 indexed citations
5.
Liang, Mei, et al.. (2024). miR-185-5p May Modulate the Chemosensitivity of LUSC to Cisplatin via Targeting PCDHA11: Multi-omics Analysis and Experimental Validation. Biochemical Genetics. 63(2). 1734–1751. 1 indexed citations
6.
Sun, Haowei, et al.. (2024). Chitosan-based hydrogels in cancer therapy: Drug and gene delivery, stimuli-responsive carriers, phototherapy and immunotherapy. International Journal of Biological Macromolecules. 282(Pt 2). 137047–137047. 12 indexed citations
7.
Meng, Xiangzhi, et al.. (2024). FSTL3 is associated with prognosis and immune cell infiltration in lung adenocarcinoma. Journal of Cancer Research and Clinical Oncology. 150(1). 17–17. 5 indexed citations
8.
Zhou, Boxuan, Wei Liu, Yin Fang, et al.. (2024). Innovative Dual mRNA-Lipid Nanoparticle Therapy Targeting CRHBP and CFHR3 for Enhanced Treatment of Hepatocellular Carcinoma. International Journal of Nanomedicine. Volume 19. 13183–13199.
9.
Li, Jiang, Qi‐Dong Xia, Can Di, et al.. (2023). Tumor Cell‐Intrinsic CD96 Mediates Chemoresistance and Cancer Stemness by Regulating Mitochondrial Fatty Acid β‐Oxidation (Adv. Sci. 7/2023). Advanced Science. 10(7). 1 indexed citations
11.
Liu, Xinwei, Yingying Ye, Xiaoyun Xiao, et al.. (2023). Niche stiffness sustains cancer stemness via TAZ and NANOG phase separation. Nature Communications. 14(1). 238–238. 58 indexed citations
12.
Zhou, Boxuan, Jinhua Xue, Runxin Wu, et al.. (2023). CREBZF mRNA nanoparticles suppress breast cancer progression through a positive feedback loop boosted by circPAPD4. Journal of Experimental & Clinical Cancer Research. 42(1). 14 indexed citations
13.
Zhou, Boxuan, et al.. (2023). Targeting tumor exosomal circular RNA cSERPINE2 suppresses breast cancer progression by modulating MALT1-NF-𝜅B-IL-6 axis of tumor-associated macrophages. Journal of Experimental & Clinical Cancer Research. 42(1). 48–48. 64 indexed citations
14.
Meng, Hongyu, et al.. (2023). Nanoparticles Mediated circROBO1 Silencing to Inhibit Hepatocellular Carcinoma Progression by Modulating miR-130a-5p/CCNT2 Axis. International Journal of Nanomedicine. Volume 18. 1677–1693. 19 indexed citations
16.
Du, Minjun, Zixu Liu, Xingkai Li, et al.. (2021). Identification of Key Genes Related to CD8+ T-Cell Infiltration as Prognostic Biomarkers for Lung Adenocarcinoma. Frontiers in Oncology. 11. 693353–693353. 9 indexed citations
17.
Yang, Linbin, Qiang Liu, Xiaoqian Zhang, et al.. (2020). DNA of neutrophil extracellular traps promotes cancer metastasis via CCDC25. Nature. 583(7814). 133–138. 689 indexed citations breakdown →
18.
Li, Xingkai, Fang Lv, Li Fang, et al.. (2020). LINC01089 Inhibits Tumorigenesis and Epithelial–Mesenchymal Transition of Non-small Cell Lung Cancer via the miR-27a/SFRP1/Wnt/β-catenin Axis. Frontiers in Oncology. 10. 532581–532581. 21 indexed citations
19.
Xu, Mingxing, et al.. (2018). TRIM29 prevents hepatocellular carcinoma progression by inhibiting Wnt/β-catenin signaling pathway. Acta Biochimica et Biophysica Sinica. 51(1). 68–77. 34 indexed citations
20.
Cheng, Yusheng, Xiaolong Chen, Linsen Ye, et al.. (2018). The Prognostic Significance of NEK2 in Hepatocellular Carcinoma: Evidence from a Meta-Analysis and Retrospective Cohort Study. Cellular Physiology and Biochemistry. 51(6). 2746–2759. 8 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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