Xin Zhu

771 total citations
27 papers, 490 citations indexed

About

Xin Zhu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Xin Zhu has authored 27 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in Xin Zhu's work include Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Xin Zhu is often cited by papers focused on Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Xin Zhu collaborates with scholars based in China and United States. Xin Zhu's co-authors include Mi Zhou, Xin Gou, Weiyang He, Daixing Hu, Hubin Yin, Yong Lin, Youlin Kuang, Xiaoxue Jiang, Ke Ren and Xinyuan Li and has published in prestigious journals such as Cancer Letters, Medicine and BioMed Research International.

In The Last Decade

Xin Zhu

25 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Zhu China 14 255 136 119 109 73 27 490
Davide Liccardo Italy 10 282 1.1× 168 1.2× 48 0.4× 109 1.0× 75 1.0× 10 531
Jiaxin Liu China 11 286 1.1× 154 1.1× 76 0.6× 62 0.6× 94 1.3× 49 498
Ying He China 13 178 0.7× 135 1.0× 138 1.2× 55 0.5× 162 2.2× 54 518
Shengli Yin China 8 328 1.3× 88 0.6× 63 0.5× 52 0.5× 58 0.8× 21 538
Guanxin Zhang China 14 232 0.9× 67 0.5× 105 0.9× 47 0.4× 44 0.6× 40 587
Jianguang Qiu China 16 246 1.0× 116 0.9× 228 1.9× 63 0.6× 85 1.2× 52 672
Patrícia Matos Biselli-Chicote Brazil 13 306 1.2× 145 1.1× 50 0.4× 51 0.5× 64 0.9× 26 533
Hongyi Jiang China 15 308 1.2× 179 1.3× 76 0.6× 31 0.3× 91 1.2× 52 642

Countries citing papers authored by Xin Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Zhu. A scholar is included among the top collaborators of Xin Zhu 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 Xin Zhu. Xin Zhu 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, Wentao, Chao Chen, Xin Zhu, & Chenping Zhang. (2025). Single‐Cell and Spatial Multiomics: Applications for Diseases. MedComm. 6(12). e70553–e70553.
2.
Zhang, Cong, Xin Gou, Guichuan Lai, et al.. (2024). Single-nucleus sequencing unveils heterogeneity in renal cell carcinomas microenvironment: Insights into pathogenic origins and treatment-responsive cellular subgroups. Cancer Letters. 604. 217259–217259. 6 indexed citations
3.
Wang, Chunming, Chengcheng Li, Guoqiang Wang, et al.. (2024). Cancer specific up-regulated lactate genes associated with immunotherapy resistance in a pan-cancer analysis. Heliyon. 10(23). e39491–e39491.
4.
Yin, Hubin, Chen Zhang, Zongjie Wei, et al.. (2022). EGF-induced nuclear translocation of SHCBP1 promotes bladder cancer progression through inhibiting RACGAP1-mediated RAC1 inactivation. Cell Death and Disease. 13(1). 39–39. 17 indexed citations
5.
Zhou, Mi, Jie Ouyang, Guoqing Zhang, & Xin Zhu. (2022). Prognostic value of tripartite motif (TRIM) family gene signature from bronchoalveolar lavage cells in idiopathic pulmonary fibrosis. BMC Pulmonary Medicine. 22(1). 467–467. 4 indexed citations
6.
Zhou, Mi & Xin Zhu. (2022). Construction and validation of a robust ferroptosis-associated gene signature predictive of prognosis in lung adenocarcinoma.. PubMed. 101(16). e29068–e29068. 2 indexed citations
7.
Xu, Xiaolin, et al.. (2021). The effects of histone crotonylation and bromodomain protein 4 on prostate cancer cell lines. Translational Andrology and Urology. 10(2). 900–914. 33 indexed citations
8.
Zhu, Xin, Hang Tong, Hubin Yin, et al.. (2020). C1QTNF6 Overexpression Acts as a Predictor of Poor Prognosis in Bladder Cancer Patients. BioMed Research International. 2020(1). 7139721–7139721. 6 indexed citations
9.
Zhou, Mi, et al.. (2020). A Robust Signature Based on Autophagy‐Associated LncRNAs for Predicting Prognosis in Lung Adenocarcinoma. BioMed Research International. 2020(1). 3858373–3858373. 11 indexed citations
10.
Zhu, Xin, et al.. (2020). Post ureteroscopic stone surgery ureteral strictures management: a retrospective study. International Urology and Nephrology. 52(5). 841–849. 9 indexed citations
11.
Zhu, Xin, Xin Gou, & Mi Zhou. (2019). Nomograms Predict Survival Advantages of Gleason Score 3+4 Over 4+3 for Prostate Cancer: A SEER-Based Study. Frontiers in Oncology. 9. 646–646. 29 indexed citations
12.
Zhu, Xin, et al.. (2019). Silencing of SNHG6 induced cell autophagy by targeting miR-26a-5p/ULK1 signaling pathway in human osteosarcoma. Cancer Cell International. 19(1). 82–82. 39 indexed citations
13.
Xu, Xiaolin, et al.. (2019). Effect of Sulfated Polysaccharide from Undaria pinnatifida (SPUP) on Proliferation, Migration, and Apoptosis of Human Prostatic Cancer. International Journal of Polymer Science. 2019. 1–7. 2 indexed citations
14.
Zhu, Xin, et al.. (2019). Isolated Rare Urethral Metastasis From Primary Lung Adenocarcinoma: Case Report and Literature Review. Frontiers in Oncology. 9. 784–784. 2 indexed citations
15.
Zhu, Gongmin, Lijiao Pei, Hubin Yin, et al.. (2019). Profiles of tumor‑infiltrating immune cells in renal cell carcinoma and their clinical implications. Oncology Letters. 18(5). 5235–5242. 22 indexed citations
16.
Zhou, Mi, et al.. (2018). An Updated Meta-Analysis of the Associations Between MicroRNA Polymorphisms and Susceptibility to Rheumatoid Arthritis. Frontiers in Physiology. 9. 1604–1604. 13 indexed citations
17.
Yin, Hubin, Weiyang He, Yunhai Li, et al.. (2018). Loss of DUSP2 predicts a poor prognosis in patients with bladder cancer. Human Pathology. 85. 152–161. 17 indexed citations
18.
Zhou, Mi, et al.. (2018). Association Between TERT rs2736098 Polymorphisms and Cancer Risk-A Meta-Analysis. Frontiers in Physiology. 9. 377–377. 13 indexed citations
19.
Zhu, Xin, Mi Zhou, Xiaolong Huang, et al.. (2017). Autophagy activated by the c-Jun N-terminal kinase-mediated pathway protects human prostate cancer PC3 cells from celecoxib-induced apoptosis. Experimental and Therapeutic Medicine. 13(5). 2348–2354. 24 indexed citations
20.
Jiang, Xiaoxue, Xin Zhu, Weiyang He, et al.. (2015). ROS activates JNK-mediated autophagy to counteract apoptosis in mouse mesenchymal stem cells in vitro. Acta Pharmacologica Sinica. 36(12). 1473–1479. 77 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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