Bei Ma

1.8k total citations · 1 hit paper
43 papers, 1.3k citations indexed

About

Bei Ma is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Bei Ma has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Bei Ma's work include Adenosine and Purinergic Signaling (17 papers), Neuropeptides and Animal Physiology (7 papers) and Spinal Cord Injury Research (7 papers). Bei Ma is often cited by papers focused on Adenosine and Purinergic Signaling (17 papers), Neuropeptides and Animal Physiology (7 papers) and Spinal Cord Injury Research (7 papers). Bei Ma collaborates with scholars based in China, United Kingdom and Australia. Bei Ma's co-authors include Geoffrey Burnstock, Rongrong Zhu, Xiaolie He, Li-hua Yu, Liming Cheng, Wei Xu, Jingwei Zhao, Zhaojie Wang, Runzhi Huang and Xiao Hu and has published in prestigious journals such as The Science of The Total Environment, The Journal of Physiology and Advanced Drug Delivery Reviews.

In The Last Decade

Bei Ma

39 papers receiving 1.3k citations

Hit Papers

Spinal cord injury: molecular mechanisms and therapeutic ... 2023 2026 2024 2025 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Ma China 17 371 359 334 298 278 43 1.3k
Jeffrey C. Petruska United States 23 153 0.4× 551 1.5× 719 2.2× 328 1.1× 662 2.4× 49 1.7k
Xuenong Bo United Kingdom 29 1.3k 3.4× 676 1.9× 669 2.0× 139 0.5× 264 0.9× 55 2.2k
Geoffrey Burnstock United Kingdom 16 1.2k 3.2× 466 1.3× 252 0.8× 56 0.2× 340 1.2× 21 1.9k
Thierry Amédée France 22 239 0.6× 782 2.2× 488 1.5× 33 0.1× 206 0.7× 30 1.6k
Sadako Kuno Japan 33 161 0.4× 622 1.7× 1.5k 4.3× 250 0.8× 354 1.3× 91 3.5k
Philippe Bodin United Kingdom 22 1.4k 3.7× 781 2.2× 356 1.1× 100 0.3× 738 2.7× 39 2.8k
Sanja D. Novaković United States 14 543 1.5× 1.0k 2.8× 947 2.8× 72 0.2× 982 3.5× 16 2.4k
Fátima Ferreirinha Portugal 20 430 1.2× 591 1.6× 446 1.3× 19 0.1× 148 0.5× 47 1.4k
G Burnstock United Kingdom 19 1.2k 3.2× 624 1.7× 447 1.3× 34 0.1× 432 1.6× 40 2.0k
Lübomir Kasakov United Kingdom 11 357 1.0× 319 0.9× 303 0.9× 21 0.1× 296 1.1× 16 1.1k

Countries citing papers authored by Bei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Ma. A scholar is included among the top collaborators of Bei Ma 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 Bei Ma. Bei Ma 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, Xu, Feng Gao, Qixin Chen, et al.. (2025). F-box/LRR-repeat protein 12 reorchestrated microglia to inhibit scarring and achieve adult spinal cord injury repair. Signal Transduction and Targeted Therapy. 10(1). 259–259.
2.
Zhu, Yanjing, Ruiqi Huang, Liqun Yu, et al.. (2025). Engineered thoracic spinal cord organoids for transplantation after spinal cord injury. Nature Biomedical Engineering.
4.
Xu, Wei, Xiao Hu, Zhourui Wu, et al.. (2025). Neurotrophin-3/chitosan inhibits cuproptosis-related genes to enable functional recovery after spinal cord injury. International Journal of Biological Macromolecules. 310(Pt 2). 143403–143403. 1 indexed citations
5.
Tang, Hanyu, Zhaoyong Bian, Lifei Zhang, Bei Ma, & Hui Wang. (2024). Controlled electrocatalysis of the dechlorination and detoxification of chlorinated ethylenes to avoid production of highly toxic intermediates. The Science of The Total Environment. 952. 175959–175959. 4 indexed citations
6.
7.
Xu, Wei, Xiao Hu, Jingwei Zhao, et al.. (2024). A novel online calculator based on inflammation-related endotypes and clinical features to predict postoperative pulmonary infection in patients with cervical spinal cord injury. International Immunopharmacology. 142(Pt B). 113246–113246. 1 indexed citations
8.
Wu, Zhourui, Ran Zhu, Yan Yu, et al.. (2023). Spinal cord injury-activated C/EBPβ-AEP axis mediates cognitive impairment through APP C586/Tau N368 fragments spreading. Progress in Neurobiology. 227. 102467–102467. 10 indexed citations
9.
He, Xiaolie, Li Yang, Kun Dong, et al.. (2022). Biocompatible exosome-modified fibrin gel accelerates the recovery of spinal cord injury by VGF-mediated oligodendrogenesis. Journal of Nanobiotechnology. 20(1). 360–360. 34 indexed citations
10.
Jiang, Qian, Wenxin Li, Zhu Xu, et al.. (2021). Estrogen receptor β alleviates inflammatory lesions in a rat model of inflammatory bowel disease via down-regulating P2X7R expression in macrophages. The International Journal of Biochemistry & Cell Biology. 139. 106068–106068. 13 indexed citations
11.
Fan, Juan, et al.. (2021). The Up-regulation of TNF-α Maintains Trigeminal Neuralgia by Modulating MAPKs Phosphorylation and BKCa Channels in Trigeminal Nucleus Caudalis. Frontiers in Cellular Neuroscience. 15. 764141–764141. 8 indexed citations
12.
Jiang, Qian, Wenxin Li, Tiantian Zhu, et al.. (2016). Inhibitory effect of estrogen receptor beta on P2X3 receptors during inflammation in rats. Purinergic Signalling. 13(1). 105–117. 26 indexed citations
13.
Li, Hanjun, Liya Wang, Li-hua Yu, et al.. (2011). P2Y2 receptor-mediated modulation of estrogen-induced proliferation of breast cancer cells. Molecular and Cellular Endocrinology. 338(1-2). 28–37. 30 indexed citations
14.
Lu, Yi, Zhe Li, Huijun Li, et al.. (2011). A comparative study of the effect of 17β-estradiol and estriol on peripheral pain behavior in rats. Steroids. 77(3). 241–249. 11 indexed citations
15.
Lu, Yi, Li-hua Yu, Yanmin Zhang, et al.. (2010). Progesterone Rapidly Attenuates ATP-Evoked Transient Currents in Cultured Rat Dorsal Root Ganglion Neurons. Pharmacology. 87(1-2). 36–44. 6 indexed citations
16.
Yu, Li-hua, et al.. (2009). Estrogen altered visceromotor reflex and P2X3 mRNA expression in a rat model of colitis. Steroids. 74(12). 956–962. 17 indexed citations
17.
Ma, Bei, Weifang Rong, Philip M. Dunn, & G. Burnstock. (2005). 17β-estradiol attenuates α, β-meATP-induced currents in rat dorsal root ganglion neurons. Life Sciences. 76(22). 2547–2558. 15 indexed citations
18.
Cockayne, Debra A., Philip M. Dunn, Yu Zhong, et al.. (2005). P2X2 knockout mice and P2X2/P2X3 double knockout mice reveal a role for the P2X2 receptor subunit in mediating multiple sensory effects of ATP. The Journal of Physiology. 567(2). 621–639. 305 indexed citations
19.
Ma, Bei, Huai‐Zhen Ruan, Debra A. Cockayne, et al.. (2004). Identification of P2X receptors in cultured mouse and rat parasympathetic otic ganglion neurones including P2X knockout studies. Neuropharmacology. 46(7). 1039–1048. 8 indexed citations
20.
Wynn, Greg, et al.. (2004). Purinergic component of mechanosensory transduction is increased in a rat model of colitis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 287(3). G647–G657. 94 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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