Qing Lü

3.9k total citations
107 papers, 3.2k citations indexed

About

Qing Lü is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Qing Lü has authored 107 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 23 papers in Molecular Biology and 18 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Qing Lü's work include Electrochemical sensors and biosensors (22 papers), Electrochemical Analysis and Applications (15 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). Qing Lü is often cited by papers focused on Electrochemical sensors and biosensors (22 papers), Electrochemical Analysis and Applications (15 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). Qing Lü collaborates with scholars based in China, United States and Singapore. Qing Lü's co-authors include Yikai Zhou, Weixiang Wu, Xiaoyun Wei, Lianjun Guo, Xulin Xu, Guangxia Yu, Qiang Zhao, Shengshui Hu, Shunli Jiang and Yue Rong and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and The Journal of Physical Chemistry B.

In The Last Decade

Qing Lü

103 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Lü China 32 1.0k 616 528 448 383 107 3.2k
Seung‐Cheol Chang South Korea 26 929 0.9× 558 0.9× 94 0.2× 390 0.9× 443 1.2× 96 2.1k
François Boucher France 31 765 0.7× 1.1k 1.8× 183 0.3× 309 0.7× 429 1.1× 152 3.9k
Yang‐Soo Lee South Korea 30 626 0.6× 304 0.5× 78 0.1× 305 0.7× 568 1.5× 143 3.0k
Pier Andrea Serra Italy 38 1.1k 1.1× 1.1k 1.7× 58 0.1× 534 1.2× 529 1.4× 115 3.6k
Wenjing Cheng China 29 522 0.5× 435 0.7× 181 0.3× 186 0.4× 175 0.5× 122 2.5k
Zhichun Chen China 30 718 0.7× 1.1k 1.8× 35 0.1× 321 0.7× 289 0.8× 76 3.1k
Chenchen Li China 36 444 0.4× 1.5k 2.5× 110 0.2× 131 0.3× 1.3k 3.5× 203 4.4k
Teresa Coccini Italy 28 200 0.2× 520 0.8× 1.0k 1.9× 160 0.4× 356 0.9× 118 2.8k
Mengmeng Song China 28 514 0.5× 597 1.0× 38 0.1× 80 0.2× 626 1.6× 74 2.4k
Xingli Wang China 38 2.7k 2.6× 578 0.9× 85 0.2× 398 0.9× 536 1.4× 117 7.3k

Countries citing papers authored by Qing Lü

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lü. A scholar is included among the top collaborators of Qing 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 Qing Lü. Qing 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.
Wu, Huilin, Weiwei Wei, Chuanzhi Sun, et al.. (2025). An accurate unbalance prediction model for multi-stage disc-separated structure rotor with benchmark transformation. Measurement. 256. 118262–118262.
2.
3.
Zhou, Shuang, Hao Lü, Xu Zhang, et al.. (2022). Paraben exposures and their interactions with ESR1/2 genetic polymorphisms on hypertension. Environmental Research. 213. 113651–113651. 7 indexed citations
4.
Jiang, Shunli, Shuang Zhou, Huimin Liu, et al.. (2021). Concentrations of vanadium in urine with hypertension prevalence and blood pressure levels. Ecotoxicology and Environmental Safety. 213. 112028–112028. 18 indexed citations
5.
Jiang, Shunli, et al.. (2021). Bisphenol A, S, and F exposure, ESR1/2, CAT, and eNOS genetic polymorphisms, and the risk of hypertension. Ecotoxicology and Environmental Safety. 224. 112684–112684. 8 indexed citations
6.
Deng, Yao, Heng He, Na Shen, et al.. (2021). Bisphenol A exposure, interaction with genetic variants and colorectal cancer via mediating oxidative stress biomarkers. Environmental Pollution. 287. 117630–117630. 25 indexed citations
7.
Zhou, Shuang, Huimin Liu, Shunli Jiang, et al.. (2021). Associations of polycyclic aromatic hydrocarbons exposure and its interaction with XRCC1 genetic polymorphism with lung cancer: A case-control study. Environmental Pollution. 290. 118077–118077. 14 indexed citations
8.
9.
Wang, Yixin, Chong Liu, Ying Shen, et al.. (2018). Urinary levels of bisphenol A, F and S and markers of oxidative stress among healthy adult men: Variability and association analysis. Environment International. 123. 301–309. 120 indexed citations
10.
Liu, Ming, Zhiqiang Gao, Laiguo Chen, et al.. (2018). A Reliable Method to Determine Monomethylmercury and Monoethylmercury Simultaneously in Aqueous Samples by GC–CVAFS After Distillation. Archives of Environmental Contamination and Toxicology. 75(3). 495–501. 8 indexed citations
11.
Wu, Weixiang, Ke Zhang, Shunli Jiang, et al.. (2017). Association of co-exposure to heavy metals with renal function in a hypertensive population. Environment International. 112. 198–206. 53 indexed citations
12.
Yang, Li, Xulin Xu, Dan Zhao, et al.. (2015). TLR3 ligand Poly IC Attenuates Reactive Astrogliosis and Improves Recovery of Rats after Focal Cerebral Ischemia. CNS Neuroscience & Therapeutics. 21(11). 905–913. 47 indexed citations
13.
14.
Zhou, Mei, Pan Luo, Yun Lu, et al.. (2014). Imbalance of HCN1 and HCN2 expression in hippocampal CA1 area impairs spatial learning and memory in rats with chronic morphine exposure. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 56. 207–214. 23 indexed citations
15.
Zhu, Wei, et al.. (2012). Protective effect of sodium tanshinone IIA sulfonate on injury of small intestine in rats with sepsis and its mechanism. Chinese Journal of Integrative Medicine. 18(7). 496–501. 16 indexed citations
16.
Lü, Qing. (2011). Molecular Cloning,Expression and Anti-apoptotic Function Characterization of Three Kinds of 30K Protein in Bombyx mori. Canye kexue. 2 indexed citations
17.
Lü, Qing, et al.. (2010). Outcome analysis on drinking-water type endemic fluorosis in Qinghai in 2008. 29(1). 77–79. 1 indexed citations
18.
Lü, Qing, Xulin Xu, Zhi He, et al.. (2008). Guattegaumerine Protects Primary Cultured Cortical Neurons Against Oxidative Stress Injury Induced by Hydrogen Peroxide Concomitant with Serum Deprivation. Cellular and Molecular Neurobiology. 29(3). 355–364. 6 indexed citations
19.
Zhang, Li, Mingxing Xie, Manli Fu, et al.. (2007). Assessment of age-related changes in left ventricular twist by two-dimensional ultrasound speckle tracking imaging. Journal of Huazhong University of Science and Technology [Medical Sciences]. 27(6). 691–695. 16 indexed citations
20.
Lü, Qing, Mingxing Xie, Xinfang Wang, et al.. (2006). Real-time three-dimensional echocardiography in assessment of congenital double orifice mitral valve. Journal of Huazhong University of Science and Technology [Medical Sciences]. 26(5). 625–628. 10 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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