Xu Zhu

560 total citations
36 papers, 336 citations indexed

About

Xu Zhu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xu Zhu has authored 36 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xu Zhu's work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and RNA modifications and cancer (5 papers). Xu Zhu is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and RNA modifications and cancer (5 papers). Xu Zhu collaborates with scholars based in China, United States and Australia. Xu Zhu's co-authors include Siyuan Cheng, Kwang‐Huei Lin, P McPhie, Jiang‐Hui Zeng, Tie Zhao, Gang Chen, Lin Wang, Qinghua Jiang, Haiyan Yang and Dan Deng and has published in prestigious journals such as PLoS ONE, Endocrinology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Xu Zhu

34 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Zhu China 11 195 110 48 45 42 36 336
Yiqian Zhang China 13 336 1.7× 145 1.3× 28 0.6× 62 1.4× 53 1.3× 30 508
Kein Seong Mun Malaysia 9 214 1.1× 162 1.5× 19 0.4× 30 0.7× 74 1.8× 26 419
Guangjie Sui China 10 196 1.0× 43 0.4× 56 1.2× 53 1.2× 108 2.6× 18 419
Jianying Xiao China 11 167 0.9× 46 0.4× 65 1.4× 27 0.6× 32 0.8× 25 378
Carla Navarro Venezuela 6 134 0.7× 58 0.5× 31 0.6× 17 0.4× 36 0.9× 7 286
Hong‐Nu Yu South Korea 11 219 1.1× 83 0.8× 19 0.4× 19 0.4× 58 1.4× 17 345
Liying Wu China 13 323 1.7× 191 1.7× 38 0.8× 45 1.0× 102 2.4× 23 520
Tong Xu China 9 193 1.0× 107 1.0× 28 0.6× 25 0.6× 57 1.4× 24 338
Guohui Jiang China 12 190 1.0× 75 0.7× 14 0.3× 34 0.8× 37 0.9× 17 300

Countries citing papers authored by Xu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Zhu. A scholar is included among the top collaborators of Xu 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 Xu Zhu. Xu 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.
Wang, Keke, et al.. (2026). Strategies for overcoming multiple barriers of oral administration of protein and peptide therapeutics. Materials Today Bio. 37. 102763–102763.
2.
Zhu, Xu, et al.. (2025). Advances and challenges in molecular understanding, early detection, and targeted treatment of liver cancer. World Journal of Hepatology. 17(1). 102273–102273. 7 indexed citations
3.
Wang, Xueting, Jing Yang, Xiaoyu Xie, et al.. (2024). A tissue-adhesive, mechanically enhanced, natural Aloe Vera-based injectable hydrogel for wound healing: Macrophage mediation and collagen proliferation. International Journal of Biological Macromolecules. 283(Pt 1). 137452–137452. 4 indexed citations
4.
Zhu, Xu, Yike Dai, Lin Shi, et al.. (2024). Analysis of differentially expressed genes in torn rotator cuff tendon tissues in diabetic patients through RNA-sequencing. BMC Musculoskeletal Disorders. 25(1). 31–31. 6 indexed citations
5.
Tong, Yongqing, Haitao Zhang, Yun Li, et al.. (2024). A novel dual-target Septin9 methylation assay for improved detection of early-stage colorectal cancer and high-grade intraepithelial neoplasia. BMC Cancer. 24(1). 916–916. 1 indexed citations
6.
Wang, Tao, Xu Zhu, Kai Wang, et al.. (2023). Transcriptional factor MAZ promotes cisplatin-induced DNA damage repair in lung adenocarcinoma by regulating NEIL3. Pulmonary Pharmacology & Therapeutics. 80. 102217–102217. 7 indexed citations
7.
Yang, Nan, Xu Zhu, Zequn Lu, et al.. (2023). Prioritization of risk genes in colorectal cancer by integrative analysis of multi-omics data and gene networks. Science China Life Sciences. 67(1). 132–148. 6 indexed citations
8.
Wang, Dawei, et al.. (2023). TRIM29 knockdown prevented the colon cancer progression through decreasing the ubiquitination levels of KRT5. Open Life Sciences. 18(1). 20220711–20220711. 6 indexed citations
9.
Zhu, Xu, Lili Zhao, Lihong Huang, et al.. (2023). cgMSI: pathogen detection within species from nanopore metagenomic sequencing data. BMC Bioinformatics. 24(1). 387–387. 2 indexed citations
10.
Xia, Anliang, Qi Yue, Mingming Zhu, et al.. (2023). The cancer-testis lncRNA LINC01977 promotes HCC progression by interacting with RBM39 to prevent Notch2 ubiquitination. Cell Death Discovery. 9(1). 169–169. 12 indexed citations
11.
Zhu, Xu, Lin Wang, Tie Zhao, & Qinghua Jiang. (2022). Traditional uses, phytochemistry, pharmacology, and toxicity of Eriobotrya japonica leaves: A summary. Journal of Ethnopharmacology. 298. 115566–115566. 24 indexed citations
12.
Huang, Li, Yun Deng, Xu Zhu, et al.. (2020). Prognostic value of small nucleolar RNAs (snoRNAs) for colon adenocarcinoma based on RNA sequencing data. Pathology - Research and Practice. 216(6). 152937–152937. 20 indexed citations
13.
Zeng, Jiang‐Hui, et al.. (2019). Prognosis of clear cell renal cell carcinoma (ccRCC) based on a six-lncRNA-based risk score: an investigation based on RNA-sequencing data. Journal of Translational Medicine. 17(1). 281–281. 30 indexed citations
14.
Zhu, Xu, Xiaomeng Shen, Jun Qu, Robert M. Straubinger, & William J. Jusko. (2018). Multi‐Scale Network Model Supported by Proteomics for Analysis of Combined Gemcitabine and Birinapant Effects in Pancreatic Cancer Cells. CPT Pharmacometrics & Systems Pharmacology. 7(9). 549–561. 16 indexed citations
15.
Chen, Zaixing, Xixiang Ying, Shu Meng, et al.. (2011). High-performance liquid chromatographic determination and pharmacokinetic study of apigenin-7-O-β-D-glucoside in rat plasma after intravenous administration. Archives of Pharmacal Research. 34(5). 741–746. 9 indexed citations
16.
17.
Zhu, Xu. (2010). Determination of Luteolin-7-O-β-D-glucoside and cosmosiin in Humulus scandens in different seasons. Tianjin Journal of Traditional Chinese Medicine. 1 indexed citations
18.
He, Xiaojing, et al.. (2009). (E)-N′-(3,4-Dihydroxybenzylidene)-4-nitrobenzohydrazide. Acta Crystallographica Section E Structure Reports Online. 65(8). o2050–o2050. 2 indexed citations
19.
Jian, Lingyan, et al.. (2009). (S)-(−)-5,5′-Bis(diphenylphosphino)-4,4′-bi-1,3-benzodioxole. Acta Crystallographica Section E Structure Reports Online. 65(5). o1153–o1153. 1 indexed citations
20.
Liang, Jin, et al.. (2008). Association between polymorphisms in HLA-II genes and multiple sclerosis in Guizhou Province. Chin J Neurol. 41(2). 83–86. 1 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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