Xiaoli Qu

2.0k total citations · 4 hit papers
53 papers, 1.4k citations indexed

About

Xiaoli Qu is a scholar working on Molecular Biology, Materials Chemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaoli Qu has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Materials Chemistry and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaoli Qu's work include Bioinformatics and Genomic Networks (8 papers), Carbon and Quantum Dots Applications (7 papers) and Epigenetics and DNA Methylation (6 papers). Xiaoli Qu is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Carbon and Quantum Dots Applications (7 papers) and Epigenetics and DNA Methylation (6 papers). Xiaoli Qu collaborates with scholars based in China, United States and Canada. Xiaoli Qu's co-authors include Siyu Lu, Boyang Wang, Bai Yang, Huijuan Cai, Geoffrey I. N. Waterhouse, Junbiao Chang, Haoqiang Song, Linlin Zhang, Lixiang Chen and Xiuli An and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Xiaoli Qu

50 papers receiving 1.4k citations

Hit Papers

Carbon Dots in Bioimaging, Biosensing and Therapeutics: A... 2021 2026 2022 2024 2022 2021 2022 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Qu China 16 797 369 228 115 108 53 1.4k
Jinping Song China 20 344 0.4× 660 1.8× 247 1.1× 93 0.8× 142 1.3× 47 1.2k
Wanming Zhang China 24 274 0.3× 439 1.2× 130 0.6× 39 0.3× 89 0.8× 61 1.6k
Na He China 25 282 0.4× 545 1.5× 298 1.3× 50 0.4× 91 0.8× 63 1.6k
Suresh Kumar Balasubramanian United States 15 378 0.5× 305 0.8× 272 1.2× 32 0.3× 37 0.3× 52 1.3k
Xiaoyan Wang China 20 258 0.3× 427 1.2× 500 2.2× 32 0.3× 88 0.8× 92 1.5k
Yuhua Huang China 26 483 0.6× 698 1.9× 617 2.7× 114 1.0× 51 0.5× 132 2.1k
Jiaqi Xiao China 17 508 0.6× 534 1.4× 422 1.9× 25 0.2× 94 0.9× 60 1.6k
Karolin Roemhild Germany 6 309 0.4× 301 0.8× 631 2.8× 38 0.3× 41 0.4× 6 1.3k
Ji Zhang China 19 238 0.3× 381 1.0× 108 0.5× 37 0.3× 102 0.9× 54 1.1k
Jiyoung Shin South Korea 25 243 0.3× 833 2.3× 317 1.4× 51 0.4× 38 0.4× 76 1.8k

Countries citing papers authored by Xiaoli Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Qu. A scholar is included among the top collaborators of Xiaoli Qu 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 Xiaoli Qu. Xiaoli Qu 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.
Zhang, Yongqiang, Xueyan Ren, Shurong Ding, et al.. (2025). Rhodamine B‐Derived Low‐Toxicity Full‐Color Carbon Dots with Wide Tunable High‐Stable Liquid‐State Lasers. Advanced Materials. 37(13). e2420197–e2420197. 20 indexed citations
3.
Yang, Qianqian, Lixiang Chen, Hengchao Zhang, et al.. (2024). DNMT1 regulates human erythropoiesis by modulating cell cycle and endoplasmic reticulum stress in a stage-specific manner. Cell Death and Differentiation. 31(8). 999–1012. 7 indexed citations
4.
Liu, Yue, Linlin Zhang, Huijuan Cai, et al.. (2024). Biomass-derived carbon dots with pharmacological activity for biomedicine: Recent advances and future perspectives. Science Bulletin. 69(19). 3127–3149. 50 indexed citations
5.
Zhang, Wenjie, et al.. (2023). The Causes and Forecasting of Icing Events on Power Transmission Lines in Southern China: A Review and Perspective. Atmosphere. 14(12). 1815–1815. 11 indexed citations
6.
Li, Shun, et al.. (2023). Specific expression profile of follicular fluid-derived exosomal microRNAs in patients with diminished ovarian reserve. BMC Medical Genomics. 16(1). 308–308. 8 indexed citations
8.
Wang, Boyang, Huijuan Cai, Geoffrey I. N. Waterhouse, et al.. (2022). Carbon Dots in Bioimaging, Biosensing and Therapeutics: A Comprehensive Review. SHILAP Revista de lepidopterología. 2(6). 2200012–2200012. 259 indexed citations breakdown →
9.
Xu, Yuanlin, Boyang Wang, Jingxin Zhang, et al.. (2022). Carbon Dots as a Potential Therapeutic Agent for the Treatment of Cancer‐Related Anemia. Advanced Materials. 34(19). e2200905–e2200905. 126 indexed citations breakdown →
10.
Zhang, Huan, Shihui Wang, Donghao Liu, et al.. (2021). EpoR-tdTomato-Cre mice enable identification of EpoR expression in subsets of tissue macrophages and hematopoietic cells. Blood. 138(20). 1986–1997. 26 indexed citations
11.
Cong, Rihua, et al.. (2019). Maternal high-protein diet modulates hepatic growth axis in weaning piglets by reprogramming the IGFBP-3 gene. European Journal of Nutrition. 59(6). 2497–2506. 4 indexed citations
12.
Meng, Kai, Xiangde Xu, Xinghong Cheng, et al.. (2018). Spatio-temporal variations in SO2 and NO2 emissions caused by heating over the Beijing-Tianjin-Hebei Region constrained by an adaptive nudging method with OMI data. The Science of The Total Environment. 642. 543–552. 50 indexed citations
13.
Luan, Zhi‐Lin, et al.. (2016). Prediction efficiency of PITX2 DNA methylation for prostate cancer survival. Genetics and Molecular Research. 15(2). 6 indexed citations
14.
Qu, Xiaoli, Chengye Che, Ang Gao, et al.. (2015). Association of Dectin-1 and DC-SIGN gene single nucleotide polymorphisms with fungal keratitis in the northern Han Chinese population.. PubMed. 21. 391–402. 14 indexed citations
15.
Qu, Xiaoli, Guiqiu Zhao, Ang Gao, et al.. (2013). Efficacy observation of the fungal keratitis treated by the Natamycin and recombinant bovine basic fibroblast growth factor ophthalmic gel. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Wan, Li, Lina Chen, Xia Li, et al.. (2013). Cancer-related marketing centrality motifs acting as pivot units in the human signaling network and mediating cross-talk between biological pathways. Molecular BioSystems. 9(12). 3026–3035. 11 indexed citations
17.
Wang, Na, et al.. (2013). Association of TLR2 and TLR4 Gene Single Nucleotide Polymorphisms with Fungal Keratitis in Chinese Han Population. Current Eye Research. 39(1). 47–52. 11 indexed citations
18.
Li, Weiguo, Lina Chen, Li Wan, et al.. (2013). Unraveling the characteristics of microRNA regulation in the developmental and aging process of the human brain. BMC Medical Genomics. 6(1). 55–55. 13 indexed citations
19.
Wan, Li, Lina Chen, Weiming He, et al.. (2013). Prioritizing Disease Candidate Proteins in Cardiomyopathy-Specific Protein-Protein Interaction Networks Based on “Guilt by Association” Analysis. PLoS ONE. 8(8). e71191–e71191. 12 indexed citations
20.
Xu, Li, Lina Chen, Liangcai Zhang, et al.. (2012). RCM: A novel association approach to search for coronary artery disease genetic related metabolites based on SNPs and metabolic network. Genomics. 100(5). 282–288. 1 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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