Xiaoliang Wu

2.3k total citations
77 papers, 1.6k citations indexed

About

Xiaoliang Wu is a scholar working on Molecular Biology, Complementary and alternative medicine and Cancer Research. According to data from OpenAlex, Xiaoliang Wu has authored 77 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 25 papers in Complementary and alternative medicine and 13 papers in Cancer Research. Recurrent topics in Xiaoliang Wu's work include Acupuncture Treatment Research Studies (23 papers), Cancer-related molecular mechanisms research (10 papers) and RNA modifications and cancer (9 papers). Xiaoliang Wu is often cited by papers focused on Acupuncture Treatment Research Studies (23 papers), Cancer-related molecular mechanisms research (10 papers) and RNA modifications and cancer (9 papers). Xiaoliang Wu collaborates with scholars based in China, United States and Tunisia. Xiaoliang Wu's co-authors include Jianhua Sun, Qinghua Jiang, Lixia Pei, Jixuan Wang, Rui Ma, Yadong Wang, Tianjiao Zhang, Renjie Tan, Xiangming Fang and Shuilin Jin and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Journal of Clinical Investigation.

In The Last Decade

Xiaoliang Wu

74 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
Xiaoliang Wu China 22 770 488 213 187 183 77 1.6k
Ting Yu China 20 432 0.6× 211 0.4× 83 0.4× 49 0.3× 62 0.3× 71 1.5k
Lei Gao China 22 442 0.6× 166 0.3× 285 1.3× 32 0.2× 239 1.3× 129 1.9k
Zhen Guo China 26 386 0.5× 133 0.3× 548 2.6× 108 0.6× 168 0.9× 117 1.9k
Anahita Ghorbani United States 21 495 0.6× 91 0.2× 215 1.0× 81 0.4× 119 0.7× 44 2.0k
Yang Guo China 21 396 0.5× 174 0.4× 226 1.1× 17 0.1× 322 1.8× 70 1.4k
Swapna Mahurkar‐Joshi United States 20 340 0.4× 229 0.5× 290 1.4× 17 0.1× 51 0.3× 45 1.2k
Hiroya Mizuno Japan 27 821 1.1× 660 1.4× 150 0.7× 21 0.1× 78 0.4× 90 2.6k
Si Chen China 21 445 0.6× 93 0.2× 190 0.9× 41 0.2× 170 0.9× 114 1.7k
Yanyan Dong China 15 311 0.4× 136 0.3× 119 0.6× 17 0.1× 69 0.4× 52 866

Countries citing papers authored by Xiaoliang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoliang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoliang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoliang Wu. A scholar is included among the top collaborators of Xiaoliang Wu 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 Xiaoliang Wu. Xiaoliang Wu 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.
Qi, Shuo, Yunhe Zhao, Chunxia Chen, et al.. (2025). Advances in the use of biomass-derived carbons for sodium-ion batteries. New Carbon Materials. 40(1). 1–49. 3 indexed citations
2.
Wu, Xiaoliang, Ruixin Fan, Yangjun Zhang, et al.. (2024). The role of BUD31 in clear cell renal cell carcinoma: prognostic significance, alternative splicing, and tumor immune environment. Clinical and Experimental Medicine. 24(1). 191–191. 1 indexed citations
3.
Zhang, Jinling, Xiaoliang Wu, Baoxia Liang, et al.. (2024). RP11-874 J12.4 promotes erlotinib resistance in non-small cell lung cancer via increasing AXL expression. Life Sciences. 351. 122849–122849. 5 indexed citations
4.
Wang, Guanyi, et al.. (2023). Theranostic Lipid Nanoparticles for Renal Cell Carcinoma. Advanced Materials. 37(31). e2306246–e2306246. 14 indexed citations
5.
Wu, Xiaoliang, Yifan Liu, Cong Li, et al.. (2023). IDO1/COX2 Expression Is Associated with Poor Prognosis in Colorectal Cancer Liver Oligometastases. Journal of Personalized Medicine. 13(3). 496–496. 4 indexed citations
6.
Lin, Dongxu, et al.. (2022). Cryptotanshinone modulates proliferation, apoptosis, and fibrosis through inhibiting AR and EGFR/STAT3 axis to ameliorate benign prostatic hyperplasia progression. European Journal of Pharmacology. 938. 175434–175434. 12 indexed citations
7.
Sun, Guoliang, Yue Ge, Libin Yan, et al.. (2021). Transcription Factors BARX1 and DLX4 Contribute to Progression of Clear Cell Renal Cell Carcinoma via Promoting Proliferation and Epithelial–Mesenchymal Transition. Frontiers in Molecular Biosciences. 8. 626328–626328. 18 indexed citations
8.
Hou, Jinchao, Jue Zhang, Ping Cui, et al.. (2021). TREM2 sustains macrophage-hepatocyte metabolic coordination in nonalcoholic fatty liver disease and sepsis. Journal of Clinical Investigation. 131(4). 159 indexed citations
9.
Jiang, Yuyu, Fenglan Liu, Pingping Sun, et al.. (2020). Evaluating an Intervention Program Using WeChat for Patients With Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial. Journal of Medical Internet Research. 22(4). e17089–e17089. 66 indexed citations
10.
11.
Yang, Xianzi, Ximin Chen, Lisi Zeng, et al.. (2020). Rab1A promotes cancer metastasis and radioresistance through activating GSK-3β/Wnt/β-catenin signaling in nasopharyngeal carcinoma. Aging. 12(20). 20380–20395. 13 indexed citations
12.
Liu, Haoran, Xiaoqi Yang, Kun Tang, et al.. (2020). Sulforaphane elicts dual therapeutic effects on Renal Inflammatory Injury and crystal deposition in Calcium Oxalate Nephrocalcinosis. Theranostics. 10(16). 7319–7334. 58 indexed citations
13.
Lu, Hongyan, Haoran Liu, Xiaoqi Yang, et al.. (2019). LncRNA BLACAT1 May Serve as a Prognostic Predictor in Cancer: Evidence from a Meta-Analysis. BioMed Research International. 2019. 1–10. 25 indexed citations
14.
Pei, Lixia, Hao Chen, Xiaoliang Wu, et al.. (2018). Acupuncture for irritable bowel syndrome: study protocol for a multicenter randomized controlled trial. Trials. 19(1). 529–529. 6 indexed citations
15.
Hou, Jinchao, Qixing Chen, Xiaoliang Wu, et al.. (2017). S1PR3 Signaling Drives Bacterial Killing and Is Required for Survival in Bacterial Sepsis. American Journal of Respiratory and Critical Care Medicine. 196(12). 1559–1570. 45 indexed citations
16.
Han, Zhijie, Qinghua Jiang, Tianjiao Zhang, et al.. (2015). Analyzing large-scale samples confirms the association between the rs1051730 polymorphism and lung cancer susceptibility. Scientific Reports. 5(1). 15642–15642. 10 indexed citations
17.
Wu, Xiaoliang, Jianhua Sun, Lanying Liu, et al.. (2014). [A feasibility analysis on individualized acupuncture treatment of irritable bowel syndrome under help of genetic polymorphism technique].. PubMed. 39(3). 252–5. 1 indexed citations
18.
Jiang, Qinghua, Jixuan Wang, Xiaoliang Wu, et al.. (2014). LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression. Nucleic Acids Research. 43(D1). D193–D196. 117 indexed citations
19.
Wu, Xiaoliang. (2009). Comparison on the Three Methods of Extracting Total Flavone from Stellera chamaejasme. 2 indexed citations
20.
Li, Fang, Yi Zhang, Meimei Wang, et al.. (2007). Molecular cloning and expression characteristics of alternative oxidase gene of cotton (Gossypium hirsutum). Molecular Biology Reports. 35(2). 97–105. 13 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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