Xiaofei Zhang

2.4k total citations
55 papers, 1.7k citations indexed

About

Xiaofei Zhang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaofei Zhang has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Xiaofei Zhang's work include Cancer-related molecular mechanisms research (13 papers), Pancreatic and Hepatic Oncology Research (11 papers) and MicroRNA in disease regulation (9 papers). Xiaofei Zhang is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), Pancreatic and Hepatic Oncology Research (11 papers) and MicroRNA in disease regulation (9 papers). Xiaofei Zhang collaborates with scholars based in China, United States and Malaysia. Xiaofei Zhang's co-authors include Kai‐Xue Wang, Xiao Wei, Jie‐Sheng Chen, Yajun Shi, Junbo Zou, Chong Han, Xudong Wang, Bingtao Zhai, Jiujie Cui and Tiebo Mao and has published in prestigious journals such as Nature Communications, Chemistry of Materials and Hepatology.

In The Last Decade

Xiaofei Zhang

52 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofei Zhang China 22 691 450 285 279 201 55 1.7k
Kangshuai Li China 24 716 1.0× 371 0.8× 283 1.0× 156 0.6× 165 0.8× 54 1.6k
Liqi Li China 26 657 1.0× 217 0.5× 126 0.4× 298 1.1× 137 0.7× 85 1.9k
Shuhui Liang China 20 743 1.1× 468 1.0× 315 1.1× 59 0.2× 78 0.4× 79 1.6k
Ayuob Aghanejad Iran 36 866 1.3× 169 0.4× 344 1.2× 88 0.3× 187 0.9× 81 2.7k
Jian Ni China 33 1.2k 1.8× 717 1.6× 507 1.8× 157 0.6× 259 1.3× 98 3.2k
Daniel Böhm Germany 17 338 0.5× 234 0.5× 383 1.3× 484 1.7× 182 0.9× 37 1.8k
Vikas Sharma India 23 600 0.9× 289 0.6× 118 0.4× 152 0.5× 75 0.4× 85 1.5k
Noriko Ito Japan 26 433 0.6× 364 0.8× 317 1.1× 341 1.2× 218 1.1× 74 1.7k
Min Wu China 23 967 1.4× 431 1.0× 175 0.6× 187 0.7× 124 0.6× 92 1.9k

Countries citing papers authored by Xiaofei Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Zhang. A scholar is included among the top collaborators of Xiaofei 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 Xiaofei Zhang. Xiaofei 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
1.
Kan, Chengxia, Kexin Zhang, Xiaofei Zhang, et al.. (2025). Global burden and future trends of metabolic dysfunction-associated Steatotic liver disease: 1990-2021 to 2045. Annals of Hepatology. 30(2). 101898–101898. 8 indexed citations
2.
Zhang, Xiaofei, Tong Zhu, Wei Zhang, et al.. (2025). Ethylene promotes branch formation but inhibits tendril development in cucumber. Nature Communications. 17(1). 745–745.
3.
Xu, Haiyan, Yang Sun, Jingyu Ma, et al.. (2025). CREB3L1 facilitates pancreatic tumor progression and reprograms intratumoral tumor-associated macrophages to shape an immunotherapy-resistance microenvironment. Journal for ImmunoTherapy of Cancer. 13(1). e010029–e010029. 1 indexed citations
4.
Zhang, Xun, Dan Lu, Yuqing Wang, et al.. (2025). SPRY1 regulates macrophage M1 polarization in skin aging and melanoma prognosis. Translational Oncology. 54. 102331–102331. 1 indexed citations
5.
Zhang, Xiaofei, Qingyuan Li, Xingyu Jiang, et al.. (2024). PTPN20 promotes metastasis through activating NF-κB signaling in triple-negative breast cancer. Breast Cancer Research. 26(1). 155–155. 2 indexed citations
6.
Zhai, Bingtao, Yu Fan, Jing Sun, et al.. (2023). Targeted Drug Delivery Systems for Curcumin in Breast Cancer Therapy. International Journal of Nanomedicine. Volume 18. 4275–4311. 50 indexed citations
7.
Ge, Weiyu, Tiebo Mao, Xiaofei Zhang, et al.. (2022). Prediction of Survival and Tumor Microenvironment Infiltration Based on Pyroptosis-Related lncRNAs in Pancreatic Cancer. Disease Markers. 2022. 1–22. 10 indexed citations
8.
Ge, Weiyu, Kexuan Wang, Tiebo Mao, et al.. (2022). Association of aging-related genes with prognosis and immune infiltration in pancreatic adenocarcinoma. Frontiers in Cell and Developmental Biology. 10. 942225–942225. 6 indexed citations
9.
Ge, Weiyu, Yongchao Wang, Yanling Wang, et al.. (2022). A novel angiogenesis-based molecular signature related to prognosis and tumor immune interactions of pancreatic cancer. Frontiers in Cell and Developmental Biology. 10. 1001606–1001606. 3 indexed citations
10.
11.
Zhang, Xiao, Xiaofei Zhang, Tiebo Mao, et al.. (2021). CSE1L, as a novel prognostic marker, promotes pancreatic cancer proliferation by regulating the AKT/mTOR signaling pathway. Journal of Cancer. 12(10). 2797–2806. 10 indexed citations
12.
Chen, Yibing, Yucen Song, Yanjun Mi, et al.. (2020). microRNA-499a promotes the progression and chemoresistance of cervical cancer cells by targeting SOX6. APOPTOSIS. 25(3-4). 205–216. 50 indexed citations
13.
Chen, Rui, et al.. (2019). Long non-coding RNA HCP5 serves as a ceRNA sponging miR-17-5p and miR-27a/b to regulate the pathogenesis of childhood obesity via the MAPK signaling pathway. Journal of Pediatric Endocrinology and Metabolism. 32(12). 1327–1339. 20 indexed citations
14.
Wang, Lin, Xiaofei Zhang, Hongji Zhang, et al.. (2018). Hypoxia-induced microRNA-191 contributes to hepatic ischemia/reperfusion injury through the ZONAB/Cyclin D1 axis. Cell Death and Differentiation. 26(2). 291–305. 45 indexed citations
15.
Zhang, Xiaofei, Guangyu Yang, Yong Jian Zhang, et al.. (2016). A general and efficient strategy for generating the stable enzymes. Scientific Reports. 6(1). 33797–33797. 67 indexed citations
16.
Hu, Junfei, Xue‐Hai Zhu, Xiao‐Jing Zhang, et al.. (2015). Targeting TRAF3 signaling protects against hepatic ischemia/reperfusions injury. Journal of Hepatology. 64(1). 146–159. 85 indexed citations
17.
Suo, Shiteng, Xiaoxi Chen, Lian‐Ming Wu, et al.. (2014). Non-Gaussian water diffusion kurtosis imaging of prostate cancer. Magnetic Resonance Imaging. 32(5). 421–427. 78 indexed citations
18.
Zhang, Xiaofei, Juan Zhang, Long Zhang, Hans van Dam, & Peter ten Dijke. (2013). UBE2O negatively regulates TRAF6-mediated NF-κB activation by inhibiting TRAF6 polyubiquitination. Cell Research. 23(3). 366–377. 76 indexed citations
19.
Xue, Yuhua, Xiaofei Zhang, Qiongzhu Dong, et al.. (2010). Thrombin is a Therapeutic Target for Metastatic Osteopontin-Positive Hepatocellular Carcinoma. Hepatology. 52(6). 2012–2022. 45 indexed citations
20.
Zhang, Xiaofei, et al.. (2009). Synthesis and solution properties of temperature‐sensitive copolymers based on NIPAM. Journal of Applied Polymer Science. 116(2). 1099–1105. 50 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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