Xiaolong Tan

688 total citations
22 papers, 551 citations indexed

About

Xiaolong Tan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaolong Tan has authored 22 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Xiaolong Tan's work include Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (3 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Xiaolong Tan is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (3 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Xiaolong Tan collaborates with scholars based in China, United Kingdom and United States. Xiaolong Tan's co-authors include Hongyu Zhang, Yulong Sun, Davoud Ahmadvand, Arnaldur Hall, Z. Shadi Farhangrazi, S. Moein Moghimi, Linping Wu, Bixiang Zhang, Li Wan and Tao Sun and has published in prestigious journals such as Nature Communications, PLoS ONE and Hepatology.

In The Last Decade

Xiaolong Tan

20 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolong Tan China 13 251 110 80 71 68 22 551
Lu Qiao China 15 246 1.0× 109 1.0× 82 1.0× 95 1.3× 18 0.3× 49 602
Zhenzhen Zhang China 14 358 1.4× 313 2.8× 183 2.3× 69 1.0× 14 0.2× 51 923
Yuyang Wang China 15 224 0.9× 44 0.4× 138 1.7× 70 1.0× 21 0.3× 40 533
A M Rich United States 11 300 1.2× 49 0.4× 109 1.4× 43 0.6× 31 0.5× 14 758
Myriam Rouahi France 9 194 0.8× 31 0.3× 269 3.4× 80 1.1× 47 0.7× 13 637
Jinlong Liu China 15 360 1.4× 118 1.1× 115 1.4× 60 0.8× 7 0.1× 33 679
Leigh West United States 20 353 1.4× 47 0.4× 122 1.5× 88 1.2× 26 0.4× 30 1.0k
Jeffrey M. Coles United States 6 269 1.1× 37 0.3× 84 1.1× 39 0.5× 89 1.3× 6 882

Countries citing papers authored by Xiaolong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Tan. A scholar is included among the top collaborators of Xiaolong Tan 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 Xiaolong Tan. Xiaolong Tan 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.
Yang, Wei, Jie Huang, Xiaolong Tan, et al.. (2025). SENP1 promotes p27kip1 nuclear export though enhanced SUMOylation in cholangiocarcinoma leading to increased cell proliferation and chemoresistance. International Journal of Molecular Medicine. 56(3).
2.
Tian, Lulu, Lin Chen, Jiannan Qiu, et al.. (2024). Xiezhuo Tiaozhi formula inhibits macrophage pyroptosis in the non-alcoholic fatty liver disease by targeting the SIRT1 pathway. Phytomedicine. 131. 155776–155776. 7 indexed citations
3.
Tian, Lulu, Yuwei Jiang, Yueqiang Wang, et al.. (2024). Xiaoke Bitong capsule alleviates inflammatory impairment via inhibition of the TNF signaling pathway to against diabetic peripheral neuropathy. Phytomedicine. 132. 155867–155867. 4 indexed citations
4.
Huang, Jie, et al.. (2023). Knockdown of UBE2I inhibits tumorigenesis and enhances chemosensitivity of cholangiocarcinoma via modulating p27kip1 nuclear export. Molecular Carcinogenesis. 62(5). 700–715. 7 indexed citations
7.
Wan, Li, Xiaolong Tan, Tao Sun, et al.. (2020). Lubrication and drug release behaviors of mesoporous silica nanoparticles grafted with sulfobetaine-based zwitterionic polymer. Materials Science and Engineering C. 112. 110886–110886. 40 indexed citations
8.
Liao, Zhibin, Lin Chen, Xuewu Zhang, et al.. (2020). PTPRε Acts as a Metastatic Promoter in Hepatocellular Carcinoma by Facilitating Recruitment of SMAD3 to TGF‐β Receptor 1. Hepatology. 72(3). 997–1012. 35 indexed citations
9.
Jana, Saikat, Xiaolong Tan, Leon Bowen, et al.. (2020). Antiwetting and Antifouling Performances of Different Lubricant-Infused Slippery Surfaces. Langmuir. 36(45). 13396–13407. 33 indexed citations
10.
Wu, Linping, Davoud Ahmadvand, Arnaldur Hall, et al.. (2019). Crossing the blood-brain-barrier with nanoligand drug carriers self-assembled from a phage display peptide. Nature Communications. 10(1). 4635–4635. 117 indexed citations
11.
Liu, Yan, et al.. (2019). TPX2 as a Novel Prognostic Indicator and Promising Therapeutic Target in Triple-negative Breast Cancer. Clinical Breast Cancer. 19(6). 450–455. 17 indexed citations
12.
Chen, Junqi, Songyan Liu, Jingchun Gao, et al.. (2019). Modulatory effect of International Standard Scalp Acupuncture on brain activation in the elderly as revealed by resting-state fMRI. Neural Regeneration Research. 14(12). 2126–2126. 20 indexed citations
13.
Tan, Xiaolong, Yulong Sun, Tao Sun, & Hongyu Zhang. (2019). Mechanised lubricating silica nanoparticles for on-command cargo release on simulated surfaces of joint cavities. Chemical Communications. 55(18). 2593–2596. 22 indexed citations
14.
Jana, Saikat, Leon Bowen, Xiaolong Tan, et al.. (2019). Hierarchical Rose Petal Surfaces Delay the Early-Stage Bacterial Biofilm Growth. Langmuir. 35(45). 14670–14680. 38 indexed citations
15.
Liao, Zhibin, Xiaolong Tan, Keshuai Dong, et al.. (2018). miRNA-448 inhibits cell growth by targeting BCL-2 in hepatocellular carcinoma. Digestive and Liver Disease. 51(5). 703–711. 26 indexed citations
16.
Li, Jian-Bo, Xiaolong Tan, Shan Liang, et al.. (2018). Plasmon-modulated bistable four-wave mixing signals from a metal nanoparticle-monolayer MoS2nanoresonator hybrid system. Nanotechnology. 29(25). 255704–255704. 5 indexed citations
17.
Tan, Xiaolong, Zhibin Liao, Huifang Liang, et al.. (2018). Upregulation of liver kinase B1 predicts poor prognosis in hepatocellular carcinoma. International Journal of Oncology. 53(5). 1913–1926. 11 indexed citations
18.
Chen, Weixun, Zhanguo Zhang, Zeyang Ding, et al.. (2016). MicroRNA-630 suppresses tumor metastasis through the TGF-β- miR-630-Slug signaling pathway and correlates inversely with poor prognosis in hepatocellular carcinoma. Oncotarget. 7(16). 22674–22686. 48 indexed citations
19.
Gao, Fei, Huifang Liang, Hanlin Lu, et al.. (2015). Global analysis of DNA methylation in hepatocellular carcinoma by a liquid hybridization capture-based bisulfite sequencing approach. Clinical Epigenetics. 7(1). 86–86. 47 indexed citations
20.
Zheng, Ying, X. L. Wang, Xiaolong Tan, et al.. (2014). Recognition of Bungarus multicinctus Venom by a DNA Aptamer against β-Bungarotoxin. PLoS ONE. 9(8). e105404–e105404. 27 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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