Guangzhi Ning

1.5k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Guangzhi Ning is a scholar working on Pathology and Forensic Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Guangzhi Ning has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 12 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Guangzhi Ning's work include Spinal Cord Injury Research (13 papers), Nerve injury and regeneration (5 papers) and Spinal Fractures and Fixation Techniques (4 papers). Guangzhi Ning is often cited by papers focused on Spinal Cord Injury Research (13 papers), Nerve injury and regeneration (5 papers) and Spinal Fractures and Fixation Techniques (4 papers). Guangzhi Ning collaborates with scholars based in China, United Kingdom and United States. Guangzhi Ning's co-authors include Shiqing Feng, Qiang Wu, Xiaohong Kong, Yulin Li, Jiahe Li, Zhongju Shi, Shiyang Yuan, Yulin Li, Cong Xing and Hengxing Zhou and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and Free Radical Biology and Medicine.

In The Last Decade

Guangzhi Ning

28 papers receiving 1.1k citations

Hit Papers

Programmed cell death in spinal cord injury pathogenesis ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangzhi Ning China 18 482 349 307 126 126 28 1.1k
Tai‐Ngar Lui Taiwan 21 374 0.8× 591 1.7× 171 0.6× 49 0.4× 120 1.0× 58 1.3k
Honglei Kang China 18 280 0.6× 228 0.7× 261 0.9× 58 0.5× 54 0.4× 40 973
Ahmet Bekâr Türkiye 21 625 1.3× 435 1.2× 251 0.8× 39 0.3× 57 0.5× 102 1.7k
Cargill H. Alleyne United States 29 214 0.4× 577 1.7× 394 1.3× 128 1.0× 94 0.7× 78 1.9k
Arash Sarveazad Iran 18 171 0.4× 208 0.6× 176 0.6× 67 0.5× 36 0.3× 70 906
Feng Ling China 23 256 0.5× 263 0.8× 313 1.0× 54 0.4× 60 0.5× 102 1.6k
Han-Chung Lee Taiwan 21 201 0.4× 325 0.9× 335 1.1× 21 0.2× 77 0.6× 70 1.4k
Renpeng Peng China 13 241 0.5× 141 0.4× 210 0.7× 90 0.7× 42 0.3× 23 678
Yi Kang China 14 230 0.5× 151 0.4× 263 0.9× 30 0.2× 52 0.4× 38 801
Yayi Xia China 25 220 0.5× 1.1k 3.2× 344 1.1× 93 0.7× 70 0.6× 114 1.9k

Countries citing papers authored by Guangzhi Ning

Since Specialization
Citations

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

Fields of papers citing papers by Guangzhi Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangzhi Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Guangzhi Ning. A scholar is included among the top collaborators of Guangzhi Ning 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 Guangzhi Ning. Guangzhi Ning 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.
Wang, Hongda, Junjin Li, Jie Ren, et al.. (2025). Engineering injectable composite scaffolds for enhanced bone healing: Integration of stem cells, hydrogels, and microspheres. Chemical Engineering Journal. 507. 160593–160593. 2 indexed citations
2.
Li, Jiao Jiao, et al.. (2025). Immune regulated fibrous membrane loaded FK506 enhances peripheral nerve regeneration. Chemical Engineering Journal. 505. 159075–159075. 3 indexed citations
3.
Li, Junjin, Hongda Wang, Yilin Pang, et al.. (2024). Novel carbon dots with dual Modulatory effects on the bone marrow and spleen as a potential therapeutic candidate for treating spinal cord injury. Bioactive Materials. 45. 534–550. 3 indexed citations
4.
Zhang, Jiawei, Jingsong Shi, Xinjie Liu, et al.. (2024). Re-analysis of single-cell RNA-seq data reveals the origin and roles of cycling myeloid cells. Stem Cells. 42(7). 593–606. 2 indexed citations
6.
Shen, Wenyuan, Chuanhao Li, Quan Liu, et al.. (2024). Celastrol inhibits oligodendrocyte and neuron ferroptosis to promote spinal cord injury recovery. Phytomedicine. 128. 155380–155380. 31 indexed citations
7.
Liu, Song, et al.. (2023). Coordination function index: A novel indicator for assessing hindlimb locomotor recovery in spinal cord injury rats based on catwalk gait parameters. Behavioural Brain Research. 459. 114765–114765. 4 indexed citations
8.
Pang, Yilin, Xinjie Liu, Chenxi Zhao, et al.. (2022). LC−MS/MS-based arachidonic acid metabolomics in acute spinal cord injury reveals the upregulation of 5-LOX and COX-2 products. Free Radical Biology and Medicine. 193(Pt 1). 363–372. 18 indexed citations
9.
Duan, Huiquan, Yilin Pang, Chenxi Zhao, et al.. (2021). A novel, minimally invasive technique to establish the animal model of spinal cord injury. Annals of Translational Medicine. 9(10). 881–881. 17 indexed citations
10.
Pan, Dayu, Shibo Zhu, Weixin Zhang, et al.. (2021). Autophagy induced by Schwann cell-derived exosomes promotes recovery after spinal cord injury in rats. Biotechnology Letters. 44(1). 129–142. 43 indexed citations
11.
Shi, Jiaxiao, Zhijian Wei, Yang Liu, et al.. (2018). Ketamine versus ketamine pluses atropine for pediatric sedation: A meta-analysis. The American Journal of Emergency Medicine. 36(7). 1280–1286. 8 indexed citations
12.
Li, Bo, Chao Sun, Chenxi Zhao, et al.. (2018). Epidemiological profile of thoracolumbar fracture (TLF) over a period of 10 years in Tianjin, China. Journal of Spinal Cord Medicine. 42(2). 178–183. 12 indexed citations
13.
Kan, Shun-Li, Guangzhi Ning, Bo Yang, et al.. (2016). Autograft versus allograft in anterior cruciate ligament reconstruction. Medicine. 95(38). e4936–e4936. 28 indexed citations
14.
Gao, Shijie, Yang Liu, Hanjie Wang, et al.. (2016). New approach to treating spinal cord injury using PEG-TAT-modified, cyclosporine-A-loaded PLGA/polymeric liposomes. Journal of drug targeting. 25(1). 75–82. 20 indexed citations
15.
Ning, Guangzhi, et al.. (2015). Epidemiological features of traumatic spinal cord injury in Chongqing, China. Journal of Spinal Cord Medicine. 39(4). 455–460. 37 indexed citations
16.
Wu, Qiang, et al.. (2013). Factors affecting the length of stay of patients with traumatic spinal cord injury in Tianjin, China. Journal of Spinal Cord Medicine. 36(3). 237–242. 24 indexed citations
17.
Li, Yulin, Guangzhi Ning, Qiang Wu, et al.. (2013). Review of Literature of Radial Nerve Injuries Associated with Humeral Fractures—An Integrated Management Strategy. PLoS ONE. 8(11). e78576–e78576. 32 indexed citations
18.
Ning, Guangzhi, Qiang Wu, Yulin Li, & Shiqing Feng. (2012). Epidemiology of traumatic spinal cord injury in Asia: A systematic review. Journal of Spinal Cord Medicine. 35(4). 229–239. 106 indexed citations
19.
Ning, Guangzhi, et al.. (2011). Epidemiological profile of 239 traumatic spinal cord injury cases over a period of 12 years in Tianjin, China. Journal of Spinal Cord Medicine. 34(4). 388–394. 66 indexed citations
20.
Liu, Jing, et al.. (2011). Epidemiological characteristics of adult SCIWORA in Tianjin, China: a preliminary study. European Spine Journal. 21(1). 165–171. 21 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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