Xiaoting Li

1.5k total citations
42 papers, 963 citations indexed

About

Xiaoting Li is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Xiaoting Li has authored 42 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Biomedical Engineering. Recurrent topics in Xiaoting Li's work include MicroRNA in disease regulation (8 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer-related molecular mechanisms research (3 papers). Xiaoting Li is often cited by papers focused on MicroRNA in disease regulation (8 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer-related molecular mechanisms research (3 papers). Xiaoting Li collaborates with scholars based in China, United States and Sweden. Xiaoting Li's co-authors include Yangxi Chen, Chaofeng Zhang, Fenghui Chen, Lixin Zhang, Erwei Wang, Caiyun Zhong, Chunfeng Xie, Jianyun Zhu, Jieshu Wu and Weiwei Zhu and has published in prestigious journals such as Cell, Nature Biotechnology and Molecular and Cellular Biology.

In The Last Decade

Xiaoting Li

36 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoting Li China 18 525 264 87 87 74 42 963
Saeid Afshar Iran 20 448 0.9× 322 1.2× 20 0.2× 25 0.3× 166 2.2× 73 954
Liwei Liu China 20 500 1.0× 268 1.0× 80 0.9× 8 0.1× 105 1.4× 79 1.2k
Jie Guo China 17 460 0.9× 120 0.5× 39 0.4× 29 0.3× 140 1.9× 44 866
Ki‐Sook Park South Korea 22 648 1.2× 99 0.4× 57 0.7× 15 0.2× 228 3.1× 64 1.3k
Yunlong Fan China 17 522 1.0× 165 0.6× 36 0.4× 13 0.1× 179 2.4× 46 1.0k
Guang Yan United States 23 569 1.1× 196 0.7× 61 0.7× 9 0.1× 119 1.6× 55 1.3k
Jaw‐Ji Yang Taiwan 18 424 0.8× 102 0.4× 131 1.5× 71 0.8× 130 1.8× 40 857
Xueqin Yang China 18 488 0.9× 159 0.6× 63 0.7× 21 0.2× 272 3.7× 78 1.1k

Countries citing papers authored by Xiaoting Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoting Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoting Li. A scholar is included among the top collaborators of Xiaoting Li 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 Xiaoting Li. Xiaoting Li 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.
Rube, H. Tomas, et al.. (2025). Accurate affinity models for SH2 domains from peptide binding assays and free‐energy regression. Protein Science. 34(11). e70317–e70317.
2.
Wu, Jin‐Yi, Jieshu Wu, Xiaoming Ji, et al.. (2025). EGCG inhibits tobacco smoke-promoted proliferation of lung cancer cells through targeting CCL5. Phytomedicine. 139. 156512–156512. 4 indexed citations
3.
Jia, Linlin, et al.. (2025). Integrative multi-omics analysis identifies mitochondria- and ferroptosis-related prognostic genes in cervical cancer. Experimental Cell Research. 453(2). 114796–114796.
4.
Li, Xiaoting, Q. M. Zhu, Hui Jiang, et al.. (2025). TID characterization of a serial transmitter core for high-energy physics experiments. Radiation Detection Technology and Methods. 9(4). 556–562.
5.
Chen, Tao, Xiaoyue Tang, Xiaoting Li, et al.. (2024). High Concentrations of Tilmicosin Promote the Spread of Multidrug Resistance Gene tolC in the Pig Gut Microbiome Through Mobile Genetic Elements. Animals. 15(1). 70–70. 3 indexed citations
6.
Walker, Conor R., et al.. (2024). Private information leakage from single-cell count matrices. Cell. 187(23). 6537–6549.e10. 5 indexed citations
7.
Li, Xiaoting, et al.. (2023). Cascade-amplified fluorescence polarization assay for miRNA based on aggregation strategy of Y-shaped DNA. Microchemical Journal. 187. 108428–108428. 5 indexed citations
8.
Li, Xiaoting, Tuuli Lappalainen, & Harmen J. Bussemaker. (2023). Identifying genetic regulatory variants that affect transcription factor activity. Cell Genomics. 3(9). 100382–100382. 1 indexed citations
9.
Rube, H. Tomas, Chaitanya Rastogi, Judith F. Kribelbauer, et al.. (2022). Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning. Nature Biotechnology. 40(10). 1520–1527. 65 indexed citations
10.
He, Yingjian, Xiaoting Li, Zhaoqing Fan, et al.. (2022). Preoperative MRI features predict failed breast-conserving surgery: construction of a predictive model. Translational Cancer Research. 11(4). 639–648.
11.
Xie, Chunfeng, Jianyun Zhu, Xue Yang, et al.. (2021). TAp63α Is Involved in Tobacco Smoke-Induced Lung Cancer EMT and the Anti-cancer Activity of Curcumin via miR-19 Transcriptional Suppression. Frontiers in Cell and Developmental Biology. 9. 645402–645402. 13 indexed citations
12.
Tang, Yanyan, Jie Xiang, Changli Hu, et al.. (2021). Genome-wide identification of auxin response factor (ARF) gene family and the miR160-ARF18-mediated response to salt stress in peanut (Arachis hypogaea L.). Genomics. 114(1). 171–184. 35 indexed citations
13.
Li, Xiaoting, et al.. (2021). Low-dose spectral CT perfusion imaging of lung cancer quantitative analysis in different pathological subtypes. Translational Cancer Research. 10(6). 2841–2848. 1 indexed citations
14.
Li, Xiaoting, Beibei Chen, Man He, & Bin Hu. (2019). Immunodetection and counting of circulating tumor cells (HepG2) by combining gold nanoparticle labeling, rolling circle amplification and ICP-MS detection of gold. Microchimica Acta. 186(6). 344–344. 23 indexed citations
15.
Wang, Ya, Hanning Li, Jingjing Ma, et al.. (2019). <p>Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer</p>. OncoTargets and Therapy. Volume 12. 8401–8410. 16 indexed citations
16.
Li, Xiaoting, Xiang Xue, Lei Chen, et al.. (2019). MicroRNA-326-5p enhances therapeutic potential of endothelial progenitor cells for myocardial infarction. Stem Cell Research & Therapy. 10(1). 323–323. 21 indexed citations
17.
Chen, Fenghui, Lixin Zhang, Erwei Wang, Chaofeng Zhang, & Xiaoting Li. (2018). LncRNA GAS5 regulates ischemic stroke as a competing endogenous RNA for miR-137 to regulate the Notch1 signaling pathway. Biochemical and Biophysical Research Communications. 496(1). 184–190. 119 indexed citations
18.
Zhu, Mingming, Xiao Ma, Cong Huang, et al.. (2016). Folic Acid Protected Neural Cells Against Aluminum-Maltolate-Induced Apoptosis by Preventing miR-19 Downregulation. Neurochemical Research. 41(8). 2110–2118. 21 indexed citations
19.
20.
Li, Xiaoting, et al.. (2010). Interventions for pain during fixed orthodontic appliance therapy. The Angle Orthodontist. 80(5). 925–932. 88 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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