Xiaozhi Zhang

1.8k total citations
84 papers, 1.2k citations indexed

About

Xiaozhi Zhang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaozhi Zhang has authored 84 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 26 papers in Cancer Research and 24 papers in Oncology. Recurrent topics in Xiaozhi Zhang's work include Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (13 papers) and Esophageal Cancer Research and Treatment (11 papers). Xiaozhi Zhang is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (13 papers) and Esophageal Cancer Research and Treatment (11 papers). Xiaozhi Zhang collaborates with scholars based in China, United States and Finland. Xiaozhi Zhang's co-authors include Yuchen Sun, Beina Hui, Xu Zhao, Xiaobo Shi, Shupei Pan, Juan Ren, Yuan Ma, Yanli Yan, Jizhao Wang and Yinying Wu and has published in prestigious journals such as Langmuir, Scientific Reports and Acta Biomaterialia.

In The Last Decade

Xiaozhi Zhang

80 papers receiving 1.2k citations

Peers

Xiaozhi Zhang
Cristian Scatena Italy
Jun Ji China
Vasiliki Bravou Greece
Chuang Chen China
Kyungeun Kim South Korea
Zeyang Ding China
Sabrina Daniela da Silva Canada
Xin Gao China
Supriya Srivastava Singapore
Michela Pasello Italy
Cristian Scatena Italy
Xiaozhi Zhang
Citations per year, relative to Xiaozhi Zhang Xiaozhi Zhang (= 1×) peers Cristian Scatena

Countries citing papers authored by Xiaozhi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhi Zhang. A scholar is included among the top collaborators of Xiaozhi 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 Xiaozhi Zhang. Xiaozhi 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
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Yan, Yangyang, Shegan Gao, Heying Li, et al.. (2023). Heterogeneous Cu2O-SnO2 doped polydopamine fenton-like nanoenzymes for synergetic photothermal-chemodynamic antibacterial application. Acta Biomaterialia. 173. 420–431. 31 indexed citations
3.
Zhou, Xinrui, et al.. (2023). Glucagon-modified Liposomes Delivering Thyroid Hormone for Anti-obesity Therapy. Archives of Medical Research. 54(4). 287–298. 4 indexed citations
4.
Ma, Yuan, Yuchen Sun, Xu Zhao, et al.. (2023). Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients. Scientific Reports. 13(1). 14499–14499. 2 indexed citations
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Zhang, Xiaozhi, et al.. (2023). Descriptive analysis of depression among adolescents in Huangshi, China. BMC Psychiatry. 23(1). 176–176. 13 indexed citations
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Liu, Zhou, et al.. (2023). RNLFNet: Residual non-local Fourier network for undersampled MRI reconstruction. Biomedical Signal Processing and Control. 83. 104632–104632. 16 indexed citations
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Zhao, Xu, Yuzhu Wang, Jing Li, et al.. (2022). RFC2: a prognosis biomarker correlated with the immune signature in diffuse lower-grade gliomas. Scientific Reports. 12(1). 3122–3122. 12 indexed citations
11.
Hui, Beina, Shupei Pan, Shaomin Che, et al.. (2021). Silencing UHRF1 Enhances Radiosensitivity of Esophageal Squamous Cell Carcinoma by Inhibiting the PI3K/Akt/mTOR Signaling Pathway. Cancer Management and Research. Volume 13. 4841–4852. 13 indexed citations
12.
Zhao, Xu, Yuchen Sun, Jing Li, et al.. (2021). AEG-1 Knockdown Sensitizes Glioma Cells to Radiation Through Impairing Homologous Recombination Via Targeting RFC5. DNA and Cell Biology. 40(7). 895–905. 7 indexed citations
13.
Sun, Yuchen, Jizhao Wang, Yuan Ma, et al.. (2021). Radiation induces NORAD expression to promote ESCC radiotherapy resistance via EEPD1/ATR/Chk1 signalling and by inhibiting pri-miR-199a1 processing and the exosomal transfer of miR-199a-5p. Journal of Experimental & Clinical Cancer Research. 40(1). 306–306. 61 indexed citations
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Wu, Yinying, Shuheng Bai, Yanli Yan, et al.. (2020). Long non‐coding RNA SNGH7 Is activated by SP1 and exerts oncogenic properties by interacting with EZH2 in ovarian cancer. Journal of Cellular and Molecular Medicine. 24(13). 7479–7489. 25 indexed citations
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Zheng, Shuyu, Shan Huang, Xuanwei Zhang, et al.. (2017). PTENP1 inhibits the growth of esophageal squamous cell carcinoma by regulating SOCS6 expression and correlates with disease prognosis. Molecular Carcinogenesis. 56(12). 2610–2619. 31 indexed citations
18.
Guo, Jia, et al.. (2014). AEG-1 expression correlates with CD133 and PPP6c levels in human glioma tissues. Journal of Biomedical Research. 28(5). 388–388. 9 indexed citations
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Zhang, Xiaozhi. (2010). The Efficacy of Dangguiliuhuang Tang and PTU Treated Hyperthyroidism. 1 indexed citations
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Zhang, Xiaozhi. (2005). VEGF, cyclin D1 and p27~(kip1) expressions in progressing forestomach carcinoma of mice.

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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