Chuanming Dong

618 total citations
29 papers, 456 citations indexed

About

Chuanming Dong is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, Chuanming Dong has authored 29 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Chuanming Dong's work include Nerve injury and regeneration (9 papers), Spinal Cord Injury Research (8 papers) and Mesenchymal stem cell research (7 papers). Chuanming Dong is often cited by papers focused on Nerve injury and regeneration (9 papers), Spinal Cord Injury Research (8 papers) and Mesenchymal stem cell research (7 papers). Chuanming Dong collaborates with scholars based in China, United Kingdom and United States. Chuanming Dong's co-authors include Qinfeng Wu, Xiangzhe Li, Jie Ding, Yu Gu, Wenhua He, Qinghua Wang, Tong Wang, Guohua Jin, Wenwei Jiang and Yan Lü and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Cell Death and Differentiation.

In The Last Decade

Chuanming Dong

28 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuanming Dong China 13 157 152 134 103 97 29 456
Jae Won Kyung South Korea 14 103 0.7× 240 1.6× 171 1.3× 81 0.8× 53 0.5× 18 588
Kyujin Hwang South Korea 8 170 1.1× 158 1.0× 89 0.7× 80 0.8× 183 1.9× 11 425
Miri Kim South Korea 7 164 1.0× 148 1.0× 84 0.6× 82 0.8× 164 1.7× 13 414
Biswarup Ghosh United States 13 172 1.1× 137 0.9× 118 0.9× 46 0.4× 56 0.6× 34 432
Gaoyu Cui China 11 79 0.5× 162 1.1× 89 0.7× 45 0.4× 55 0.6× 19 490
Fukai Ma China 14 258 1.6× 130 0.9× 94 0.7× 46 0.4× 71 0.7× 20 562
Ditte Gry Ellman Denmark 12 104 0.7× 190 1.3× 138 1.0× 53 0.5× 116 1.2× 22 578
Kelly Hares United Kingdom 15 195 1.2× 319 2.1× 133 1.0× 81 0.8× 152 1.6× 24 739
Bernadette T. Majda Australia 11 174 1.1× 232 1.5× 92 0.7× 45 0.4× 80 0.8× 15 530

Countries citing papers authored by Chuanming Dong

Since Specialization
Citations

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

Fields of papers citing papers by Chuanming Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanming Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanming Dong. A scholar is included among the top collaborators of Chuanming Dong 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 Chuanming Dong. Chuanming Dong 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.
Dong, Chuanming, et al.. (2025). Spinal cord injury models: Advantages and disadvantages in the view of pathophysiology and clinical significance. Biochemistry and Biophysics Reports. 42. 102063–102063. 2 indexed citations
2.
Yu, M., et al.. (2025). Advancements in diabetic foot ulcer therapy: The role of exosomes and decellularised extracellular matrix scaffolds. Diabetes Research and Clinical Practice. 226. 112364–112364.
3.
Dong, Chuanming, et al.. (2024). Human Adipose-derived Stem Cells Upregulate IGF-1 and Alleviate Osteoarthritis in a Two-stage Rabbit Osteoarthritis Model. Current Stem Cell Research & Therapy. 19(11). 1472–1483. 5 indexed citations
4.
Jiang, Wenwei, Wenhua He, Xiangzhe Li, et al.. (2024). Transcriptome profile analysis in spinal cord injury rats with transplantation of menstrual blood-derived stem cells. Frontiers in Molecular Neuroscience. 17. 1335404–1335404. 1 indexed citations
5.
Liu, Jinyi, et al.. (2024). The acute spinal cord injury microenvironment and its impact on the homing of mesenchymal stem cells. Experimental Neurology. 373. 114682–114682. 5 indexed citations
6.
Jiang, Wenwei, et al.. (2023). Exosomes combined with biomaterials in the treatment of spinal cord injury. Frontiers in Bioengineering and Biotechnology. 11. 1077825–1077825. 21 indexed citations
7.
Jiang, Wenwei, et al.. (2023). Decellularized extracellular matrix in the treatment of spinal cord injury. Experimental Neurology. 368. 114506–114506. 17 indexed citations
9.
Wu, Jiahuan, Xiangzhe Li, Qinghua Wang, et al.. (2022). LncRNA/miRNA/mRNA ceRNA network analysis in spinal cord injury rat with physical exercise therapy. PeerJ. 10. e13783–e13783. 8 indexed citations
11.
Dong, Chuanming, Xianli Wang, Lixin Sun, et al.. (2021). ATM modulates subventricular zone neural stem cell maintenance and senescence through Notch signaling pathway. Stem Cell Research. 58. 102618–102618. 12 indexed citations
12.
Chen, Song, Chuanming Dong, Jinyun Zhang, et al.. (2019). Human menstrual blood–derived stem cells protect H9c2 cells against hydrogen peroxide–associated apoptosis. In Vitro Cellular & Developmental Biology - Animal. 55(2). 104–112. 3 indexed citations
13.
Li, Xiangzhe, Qinfeng Wu, Can Wang, et al.. (2018). Blocking of BDNF-TrkB signaling inhibits the promotion effect of neurological function recovery after treadmill training in rats with spinal cord injury. Spinal Cord. 57(1). 65–74. 45 indexed citations
14.
Wu, Qinfeng, Qinghua Wang, Zhangjie Li, et al.. (2018). Human menstrual blood-derived stem cells promote functional recovery in a rat spinal cord hemisection model. Cell Death and Disease. 9(9). 882–882. 29 indexed citations
15.
Wang, Xianli, Chuanming Dong, Lixin Sun, et al.. (2016). Quantitative proteomic analysis of age-related subventricular zone proteins associated with neurodegenerative disease. Scientific Reports. 6(1). 37443–37443. 20 indexed citations
16.
Zhu, Liang, Chuanming Dong, Chenxi Sun, et al.. (2015). Rejuvenation of MPTP-induced human neural precursor cell senescence by activating autophagy. Biochemical and Biophysical Research Communications. 464(2). 526–533. 7 indexed citations
17.
Zhang, Lei, Huixia Zhu, Jianbing Qin, et al.. (2014). Brn4 and TH synergistically promote the differentiation of neural stem cells into dopaminergic neurons. Neuroscience Letters. 571. 23–28. 17 indexed citations
18.
Dong, Chuanming, Weiwei Chen, Lei Wang, et al.. (2012). The dynamic expression of Mash1 in the hippocampal subgranular zone after fimbria-fornix transection. Neuroscience Letters. 520(1). 26–31. 3 indexed citations
19.
Zhang, Lei, Xuefeng Tan, Chuanming Dong, et al.. (2012). In vitro differentiation of human umbilical cord mesenchymal stem cells (hUCMSCs), derived from Wharton's jelly, into choline acetyltransferase (ChAT)‐positive cells. International Journal of Developmental Neuroscience. 30(6). 471–477. 28 indexed citations
20.
Dong, Chuanming, et al.. (2008). Aβ40 promotes neuronal cell fate in neural progenitor cells. Cell Death and Differentiation. 16(3). 386–394. 74 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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