Xiaolin Lü

3.1k total citations
123 papers, 2.5k citations indexed

About

Xiaolin Lü is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Xiaolin Lü has authored 123 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 23 papers in Cancer Research and 20 papers in Rheumatology. Recurrent topics in Xiaolin Lü's work include Epigenetics and DNA Methylation (18 papers), Folate and B Vitamins Research (17 papers) and Cancer-related molecular mechanisms research (14 papers). Xiaolin Lü is often cited by papers focused on Epigenetics and DNA Methylation (18 papers), Folate and B Vitamins Research (17 papers) and Cancer-related molecular mechanisms research (14 papers). Xiaolin Lü collaborates with scholars based in China, United States and South Korea. Xiaolin Lü's co-authors include Qizhan Liu, Yi Liu, Le Shi, Fei Luo, Xinlu Liu, Lu Lu, Wenchao Xu, Bairu Wang, Yue Xu and Fei Luo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Xiaolin Lü

120 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Lü China 26 1.5k 989 269 196 176 123 2.5k
Jianbo Wu China 29 989 0.7× 481 0.5× 223 0.8× 228 1.2× 34 0.2× 117 2.4k
Yutaro Mori Japan 27 1.1k 0.8× 245 0.2× 232 0.9× 148 0.8× 46 0.3× 95 2.4k
Yubin Ge United States 42 3.0k 2.1× 468 0.5× 890 3.3× 61 0.3× 225 1.3× 154 4.9k
Zhenyi Wang China 29 3.8k 2.6× 383 0.4× 468 1.7× 145 0.7× 80 0.5× 125 4.9k
Chunyang Jiang China 23 730 0.5× 487 0.5× 112 0.4× 168 0.9× 87 0.5× 52 1.6k
Ruud D. Fontijn Netherlands 30 1.7k 1.1× 373 0.4× 281 1.0× 144 0.7× 52 0.3× 48 3.4k
Zhihai Peng China 27 764 0.5× 280 0.3× 425 1.6× 127 0.6× 35 0.2× 79 1.7k
Ulrich Bergmann Finland 25 1.2k 0.8× 919 0.9× 392 1.5× 95 0.5× 86 0.5× 65 2.5k
Robert L. Jenkins United Kingdom 30 1.0k 0.7× 533 0.5× 110 0.4× 231 1.2× 40 0.2× 82 2.7k
Maria P. Yavropoulou Greece 26 965 0.7× 263 0.3× 683 2.5× 90 0.5× 166 0.9× 149 2.4k

Countries citing papers authored by Xiaolin Lü

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Lü. A scholar is included among the top collaborators of Xiaolin Lü 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 Xiaolin Lü. Xiaolin Lü 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.
Lu, Ming‐Chi, et al.. (2025). Predicting HbA1c Target Achievement in Type 2 Diabetes: A Retrospective Single-Centre Nomogram Derived From National MMC-Standardised Management. Diabetes Metabolic Syndrome and Obesity. Volume 18. 3589–3600. 1 indexed citations
2.
Wu, Tong, Lin Fang, Dan Su, et al.. (2025). Tumor aggression-defense index–a novel indicator to predicts recurrence and survival in stage II-III colorectal cancer. Journal of Translational Medicine. 23(1). 107–107. 2 indexed citations
3.
4.
Chen, Yuxiang, et al.. (2025). Polarization‐Directed Construction of 3D Spiral Plasmonic Micropillars for Enhanced Chiral Photoluminescence. Laser & Photonics Review. 19(21). 2 indexed citations
5.
Zhou, Min, et al.. (2024). Chiral metal–organic frameworks grown in situ for monolithic capillary electrochromatographic enantioseparation. Analytical Methods. 16(32). 5545–5554. 2 indexed citations
6.
Fan, Xiaona, Hengzhen Li, Jiani Yang, et al.. (2024). TRIM21 Promotes Tumor Growth and Gemcitabine Resistance in Pancreatic Cancer by Inhibiting EPHX1‐Mediated Arachidonic Acid Metabolism. Advanced Science. 12(8). e2413674–e2413674. 8 indexed citations
7.
Wang, Yichen, Yanyang Nan, Chunguang Ma, et al.. (2024). A potential strategy for bladder cancer treatment: inhibiting autophagy to enhance antitumor effects of Nectin-4-MMAE. Cell Death and Disease. 15(4). 293–293. 9 indexed citations
8.
9.
Lü, Xiaolin, Ruiqi Liu, Luying Cui, et al.. (2023). ACVRL1 drives resistance to multitarget tyrosine kinase inhibitors in colorectal cancer by promoting USP15-mediated GPX2 stabilization. BMC Medicine. 21(1). 366–366. 8 indexed citations
10.
Yao, Yang, Chao Liu, Bojun Wang, et al.. (2022). HOXB9 blocks cell cycle progression to inhibit pancreatic cancer cell proliferation through the DNMT1/RBL2/c-Myc axis. Cancer Letters. 533. 215595–215595. 30 indexed citations
11.
12.
Xue, Junchao, Yang Liu, Fei Luo, et al.. (2017). Circ100284, via miR-217 regulation of EZH2, is involved in the arsenite-accelerated cell cycle of human keratinocytes in carcinogenesis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(3). 753–763. 70 indexed citations
13.
Liu, Yi, Bairu Wang, Xinlu Liu, et al.. (2015). Epigenetic silencing of p21 by long non-coding RNA HOTAIR is involved in the cell cycle disorder induced by cigarette smoke extract. Toxicology Letters. 240(1). 60–67. 31 indexed citations
14.
Wang, Li, Shaofang Shangguan, Shaoyan Chang, et al.. (2014). Impaired methylation modifications of FZD3 alter chromatin accessibility and are involved in congenital hydrocephalus pathogenesis. Brain Research. 1569. 48–56. 4 indexed citations
15.
Guo, Jin, Hua Xie, Jianhua Wang, et al.. (2012). The maternal folate hydrolase gene polymorphism is associated with neural tube defects in a high-risk Chinese population. Genes & Nutrition. 8(2). 191–197. 15 indexed citations
16.
Xie, Hua, Jin Guo, Jianhua Wang, et al.. (2011). Glutamate carboxypeptidase II gene polymorphisms and neural tube defects in a high-risk Chinese population. Metabolic Brain Disease. 27(1). 59–65. 9 indexed citations
17.
Lü, Xiaolin, et al.. (2010). Analyses of serum folic acid and homocysteine of pregnant women with NTDs.. Zhongguo fuyou baojian. 25(14). 1903–1905. 1 indexed citations
18.
Lü, Xiaolin. (2010). Effect of XueSaiTong Injecta on thrombocytic activation in CAD patients. Strait Pharmaceutical Journal. 1 indexed citations
19.
Yin, Yan, Ting Zhang, Yaohua Dai, et al.. (2009). Pilot Study of Association of Anembryonic Pregnancy with 55 Elements in the Urine, and Serum Level of Folate, Homocysteine and S-adenosylhomocysteine in Shanxi Province, China. Journal of the American College of Nutrition. 28(1). 50–55. 9 indexed citations
20.
Yin, Yan, Ting Zhang, Yaohua Dai, et al.. (2008). The Effect of Plasma Lead on Anembryonic Pregnancy. Annals of the New York Academy of Sciences. 1140(1). 184–189. 6 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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