Fei Ding

7.0k total citations · 1 hit paper
122 papers, 5.4k citations indexed

About

Fei Ding is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biomaterials. According to data from OpenAlex, Fei Ding has authored 122 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Cellular and Molecular Neuroscience, 40 papers in Molecular Biology and 28 papers in Biomaterials. Recurrent topics in Fei Ding's work include Nerve injury and regeneration (76 papers), Neurogenesis and neuroplasticity mechanisms (26 papers) and Electrospun Nanofibers in Biomedical Applications (18 papers). Fei Ding is often cited by papers focused on Nerve injury and regeneration (76 papers), Neurogenesis and neuroplasticity mechanisms (26 papers) and Electrospun Nanofibers in Biomedical Applications (18 papers). Fei Ding collaborates with scholars based in China, United States and Philippines. Fei Ding's co-authors include Xiaosong Gu, Yumin Yang, Jie Liu, David F. Williams, Yun Gu, Bin Yu, Songlin Zhou, Yongjun Wang, Wen Hu and Jie Liu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and ACS Nano.

In The Last Decade

Fei Ding

120 papers receiving 5.4k citations

Hit Papers

Neural tissue engineering options for peripheral nerve re... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Ding China 43 3.0k 1.9k 1.6k 1.1k 1.0k 122 5.4k
Zhifeng Xiao China 58 3.1k 1.0× 1.7k 0.9× 2.2k 1.4× 1.6k 1.6× 2.3k 2.2× 185 8.5k
Zhuojing Luo China 42 1.6k 0.5× 702 0.4× 1.5k 0.9× 986 0.9× 1.4k 1.3× 174 5.5k
António J. Salgado Portugal 48 2.2k 0.7× 2.1k 1.1× 2.3k 1.4× 2.6k 2.5× 2.1k 2.1× 177 9.1k
Yoshihisa Suzuki Japan 41 1.7k 0.6× 814 0.4× 2.0k 1.2× 842 0.8× 1.0k 1.0× 124 5.8k
Stefania Raimondo Italy 35 2.2k 0.7× 849 0.5× 624 0.4× 634 0.6× 1.2k 1.2× 115 4.0k
Xiaosong Gu China 59 5.8k 1.9× 3.2k 1.7× 4.1k 2.5× 2.1k 2.0× 1.9k 1.9× 316 12.2k
James B. Phillips United Kingdom 34 1.6k 0.5× 912 0.5× 714 0.4× 1.0k 1.0× 814 0.8× 132 3.3k
Ying‐Zheng Zhao China 46 693 0.2× 1.9k 1.0× 1.7k 1.0× 1.8k 1.7× 867 0.8× 163 6.1k
Hang Lin United States 48 655 0.2× 1.4k 0.7× 1.6k 1.0× 2.4k 2.2× 1.5k 1.5× 154 6.5k
Yun Gu China 36 1.2k 0.4× 598 0.3× 2.1k 1.3× 363 0.3× 500 0.5× 82 4.1k

Countries citing papers authored by Fei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Ding. A scholar is included among the top collaborators of Fei Ding 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 Fei Ding. Fei Ding 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.
Chen, Yuhan, Tongxin Shang, Junjie Sun, et al.. (2024). Characterization of sciatic nerve myelin sheath during development in C57BL/6 mice. European Journal of Neuroscience. 60(4). 4503–4517.
2.
Meng, Cong, Lei Sha, Yan Yu, et al.. (2024). Promotive effect of skin precursor-derived Schwann cells on brachial plexus neurotomy and motor neuron damage repair through milieu-regulating secretome. Regenerative Therapy. 27. 365–380. 3 indexed citations
3.
Zhou, Xinyang, Miaomei Yu, Chunyan Deng, et al.. (2023). Chitosan Nerve Grafts Incorporated with SKP-SC-EVs Induce Peripheral Nerve Regeneration. Tissue Engineering and Regenerative Medicine. 20(2). 309–322. 11 indexed citations
4.
Li, Yan, et al.. (2022). Activin A Secreted From Peripheral Nerve Fibroblasts Promotes Proliferation and Migration of Schwann Cells. Frontiers in Molecular Neuroscience. 15. 859349–859349. 15 indexed citations
5.
Zhu, Changlai, Bin Zhang, Jinghui Xu, et al.. (2021). BMSC-derived extracellular matrix better optimizes the microenvironment to support nerve regeneration. Biomaterials. 280. 121251–121251. 59 indexed citations
7.
Lu, Xiaosheng, Fei Ding, Lei Chen, et al.. (2018). An epididymis‐specific secretory protein Clpsl2 critically regulates sperm motility, acrosomal integrity, and male fertility. Journal of Cellular Biochemistry. 119(6). 4760–4774. 11 indexed citations
8.
Yi, Sheng, Xin Tang, Jun Yu, et al.. (2017). Microarray and qPCR Analyses of Wallerian Degeneration in Rat Sciatic Nerves. Frontiers in Cellular Neuroscience. 11. 22–22. 45 indexed citations
9.
Shen, Mi, Wei Tang, Zheng Cao, Xuemin Cao, & Fei Ding. (2017). Isolation of rat Schwann cells based on cell sorting. Molecular Medicine Reports. 16(2). 1747–1752. 4 indexed citations
10.
Zhang, Qi, Shuhua Chen, Shu Yu, et al.. (2016). Neuroprotective effects of pyrroloquinoline quinone against rotenone injury in primary cultured midbrain neurons and in a rat model of Parkinson's disease. Neuropharmacology. 108. 238–251. 34 indexed citations
11.
Zhu, Hui, Aizhen Yang, Jinfeng Du, et al.. (2013). Basic fibroblast growth factor is a key factor that induces bone marrow mesenchymal stem cells towards cells with Schwann cell phenotype. Neuroscience Letters. 559. 82–87. 29 indexed citations
12.
Wang, Yingjie, Qing Gu, Yingying Dong, et al.. (2012). Inhibition of gecko GSK‐3β promotes elongation of neurites and oligodendrocyte processes but decreases the proliferation of blastemal cells. Journal of Cellular Biochemistry. 113(6). 1842–1851. 10 indexed citations
13.
Shen, Mi, Yuhua Ji, Shuqiang Zhang, et al.. (2012). A proteome map of primary cultured rat Schwann cells. Proteome Science. 10(1). 20–20. 20 indexed citations
14.
Yu, Bin, Songlin Zhou, Yongjun Wang, et al.. (2012). miR-221/222 promote Schwann cell proliferation and migration by targeting LASS2 following sciatic nerve injury. Journal of Cell Science. 125(Pt 11). 2675–83. 98 indexed citations
15.
Yang, Yumin, Fei Ding, Dengbing Yao, et al.. (2011). Repair of Rat Sciatic Nerve Gap by a Silk Fibroin-Based Scaffold Added with Bone Marrow Mesenchymal Stem Cells. Tissue Engineering Part A. 17(17-18). 2231–2244. 87 indexed citations
17.
Wang, Jie, Fei Ding, Yun Gu, Jie Liu, & Xiaosong Gu. (2009). Bone marrow mesenchymal stem cells promote cell proliferation and neurotrophic function of Schwann cells in vitro and in vivo. Brain Research. 1262. 7–15. 105 indexed citations
18.
Fan, Weimin, Jianhui Gu, Wen Hu, et al.. (2008). Repairing a 35‐mm‐long median nerve defect with a chitosan/PGA artificial nerve graft in the human: A case study. Microsurgery. 28(4). 238–242. 60 indexed citations
19.
Liu, Yan, Fei Ding, Mei Liu, et al.. (2006). EST-Based Identification of Genes Expressed in Brain and Spinal Cord of Gekko japonicus, a Species Demonstrating Intrinsic Capacity of Spinal Cord Regeneration. Journal of Molecular Neuroscience. 29(1). 21–28. 16 indexed citations
20.
Ding, Fei. (2004). Anti-hepatocytic Apoptosis-effect of the Formula Functioning in Cooling Blood to Remove Blood Stasis and the Formula's Influence to the Expression of Caspase-3 mRNA. 1 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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