Daxiang Lu

1.7k total citations · 1 hit paper
32 papers, 1.3k citations indexed

About

Daxiang Lu is a scholar working on Molecular Biology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Daxiang Lu has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Daxiang Lu's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Receptor Mechanisms and Signaling (4 papers) and Coenzyme Q10 studies and effects (3 papers). Daxiang Lu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Receptor Mechanisms and Signaling (4 papers) and Coenzyme Q10 studies and effects (3 papers). Daxiang Lu collaborates with scholars based in China, United Kingdom and Hong Kong. Daxiang Lu's co-authors include Li Zhu, Hongmei Li, Wei Bi, Jiayi Zhao, Xiaofeng Cheng, Jiawei Zhang, Yongmei Fu, Xin Lan, Shu Xiao and Wei Wei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Brain Research.

In The Last Decade

Daxiang Lu

32 papers receiving 1.3k citations

Hit Papers

Neuroinflammation induced by lipopolysaccharide causes co... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daxiang Lu China 16 541 409 222 202 145 32 1.3k
Tahir Muhammad Pakistan 17 488 0.9× 277 0.7× 293 1.3× 158 0.8× 75 0.5× 58 1.3k
Chainarong Tocharus Thailand 22 473 0.9× 332 0.8× 267 1.2× 123 0.6× 73 0.5× 74 1.4k
Yuanjian Song China 22 537 1.0× 280 0.7× 244 1.1× 141 0.7× 86 0.6× 54 1.2k
Yongmei Fu China 17 435 0.8× 437 1.1× 227 1.0× 213 1.1× 154 1.1× 37 1.4k
Giulia Sita Italy 20 1.0k 1.9× 518 1.3× 436 2.0× 210 1.0× 206 1.4× 36 1.9k
Harsharan S. Bhatia Germany 21 399 0.7× 335 0.8× 225 1.0× 77 0.4× 153 1.1× 24 1.3k
Md. Ezazul Haque South Korea 19 692 1.3× 320 0.8× 268 1.2× 89 0.4× 154 1.1× 24 1.5k
Cong‐Yuan Xia China 23 811 1.5× 360 0.9× 132 0.6× 211 1.0× 145 1.0× 53 1.5k
Xueyang Deng China 20 518 1.0× 285 0.7× 186 0.8× 370 1.8× 81 0.6× 26 1.3k

Countries citing papers authored by Daxiang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Daxiang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daxiang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Daxiang Lu. A scholar is included among the top collaborators of Daxiang Lu 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 Daxiang Lu. Daxiang Lu 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.
Xu, Yaqian, Xiaomeng Dai, Yun Xing, et al.. (2021). The Long-term Effect of Dobutamine on Intrinsic Myocardial Function and Myocardial Injury in Septic Rats with Myocardial Dysfunction. Shock. 56(4). 582–592. 10 indexed citations
2.
Huang, Cuiqin, Mei Yang, An Li, et al.. (2020). Astaxanthin Improved the Cognitive Deficits in APP/PS1 Transgenic Mice Via Selective Activation of mTOR. Journal of Neuroimmune Pharmacology. 16(3). 609–619. 31 indexed citations
3.
Huang, Cuiqin, Mei Yang, An Li, et al.. (2019). Lycopene protects against t-BHP-induced neuronal oxidative damage and apoptosis via activation of the PI3K/Akt pathway. Molecular Biology Reports. 46(3). 3387–3397. 40 indexed citations
4.
Zhao, Jiayi, Wei Bi, Shu Xiao, et al.. (2019). Neuroinflammation induced by lipopolysaccharide causes cognitive impairment in mice. Scientific Reports. 9(1). 5790–5790. 645 indexed citations breakdown →
5.
Wu, Shi, Yunfeng Hu, Weibin Bai, et al.. (2019). Cyanidin‐3‐o‐glucoside inhibits UVA‐induced human dermal fibroblast injury by upregulating autophagy. Photodermatology Photoimmunology & Photomedicine. 35(5). 360–368. 21 indexed citations
6.
Bi, Wei, Xin Lan, Jiawei Zhang, et al.. (2019). USP8 ameliorates cognitive and motor impairments via microglial inhibition in a mouse model of sepsis-associated encephalopathy. Brain Research. 1719. 40–48. 16 indexed citations
7.
Yang, Duomeng, Yun Xing, Xiaomeng Dai, et al.. (2018). A new method for neonatal rat ventricular myocyte purification using superparamagnetic iron oxide particles. International Journal of Cardiology. 270. 293–301. 6 indexed citations
9.
Huang, Cuiqin, An Li, Qin Li, et al.. (2018). The Secretion from Neural Stem Cells Pretreated with Lycopene Protects against tert‐Butyl Hydroperoxide‐Induced Neuron Oxidative Damage. Oxidative Medicine and Cellular Longevity. 2018(1). 5490218–5490218. 37 indexed citations
10.
Hu, Chaofeng, et al.. (2016). Ginsenosides from stems and leaves of ginseng prevent ethanol-induced lipid accumulation in human L02 hepatocytes. Chinese Journal of Integrative Medicine. 23(6). 438–444. 9 indexed citations
11.
Liu, Meng, Guang Wang, Shiyao Zhang, et al.. (2016). From the Cover: Exposing Imidacloprid Interferes With Neurogenesis Through Impacting on Chick Neural Tube Cell Survival. Toxicological Sciences. 153(1). 137–148. 22 indexed citations
12.
Lu, Dan, Hongcheng Mai, Jiayi Zhao, et al.. (2015). The Synergistic Effects of Heat Shock Protein 70 and Ginsenoside Rg1 against Tert-Butyl Hydroperoxide Damage Model In Vitro. Oxidative Medicine and Cellular Longevity. 2015. 1–22. 12 indexed citations
13.
Wang, Yiyang, Yuan Wang, Duomeng Yang, et al.. (2015). β1-adrenoceptor stimulation promotes LPS-induced cardiomyocyte apoptosis through activating PKA and enhancing CaMKII and IκBα phosphorylation. Critical Care. 19(1). 76–76. 70 indexed citations
15.
Jiang, Lihua, Nian‐Yun Yang, Xiaolin Yuan, et al.. (2013). Microarray Analysis of mRNA and MicroRNA Expression Profile Reveals the Role ofβ-Sitosterol-D-glucoside in the Proliferation of Neural Stem Cell. Evidence-based Complementary and Alternative Medicine. 2013. 1–12. 7 indexed citations
16.
Zeng, Qi, Daxiang Lu, Tian Li, et al.. (2012). Functional characterization of the p53 binding site in the human PYNOD promoter. Human Immunology. 73(4). 355–363. 3 indexed citations
17.
Lu, Daxiang. (2011). Effect of senegenin on H_2O_2-induced damage in hippocampal neurons of SD rats. Zhongguo bingli shengli zazhi. 1 indexed citations
18.
Lu, Daxiang. (2009). The effect of ginsenosides of stem and leaf on mouse fatty liver and its mechanism. Zhongguo yaolixue tongbao. 2 indexed citations
19.
Wang, Huadong, Xiuxiu Lu, Daxiang Lu, et al.. (2009). Glycine inhibits the LPS-induced increase in cytosolic Ca2+ concentration and TNFα production in cardiomyocytes by activating a glycine receptor. Acta Pharmacologica Sinica. 30(8). 1107–1114. 16 indexed citations
20.
Qi, Renbin, et al.. (2007). Glycine receptors contribute to cytoprotection of glycine in myocardial cells. Chinese Medical Journal. 120(10). 915–921. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026