Bi‐Qin Lai

1.2k total citations
38 papers, 821 citations indexed

About

Bi‐Qin Lai is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Developmental Neuroscience. According to data from OpenAlex, Bi‐Qin Lai has authored 38 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 19 papers in Pathology and Forensic Medicine and 16 papers in Developmental Neuroscience. Recurrent topics in Bi‐Qin Lai's work include Nerve injury and regeneration (30 papers), Spinal Cord Injury Research (19 papers) and Neurogenesis and neuroplasticity mechanisms (16 papers). Bi‐Qin Lai is often cited by papers focused on Nerve injury and regeneration (30 papers), Spinal Cord Injury Research (19 papers) and Neurogenesis and neuroplasticity mechanisms (16 papers). Bi‐Qin Lai collaborates with scholars based in China, Singapore and Australia. Bi‐Qin Lai's co-authors include Yuan‐Shan Zeng, Xiang Zeng, Eng‐Ang Ling, Ge Li, Ying Ding, Yuan‐Huan Ma, Mingtian Che, Jin‐Lang Wu, Xuecheng Qiu and Bo Feng and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

In The Last Decade

Bi‐Qin Lai

37 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bi‐Qin Lai China 20 534 380 239 191 161 38 821
Jin‐Lang Wu China 18 593 1.1× 380 1.0× 238 1.0× 228 1.2× 165 1.0× 22 924
Hongmei Duan China 18 516 1.0× 355 0.9× 222 0.9× 232 1.2× 187 1.2× 48 1.1k
Nicolas N. Madigan United States 17 452 0.8× 240 0.6× 225 0.9× 131 0.7× 228 1.4× 33 856
Siobhán S. McMahon Ireland 17 439 0.8× 211 0.6× 157 0.7× 193 1.0× 225 1.4× 36 825
Mingtian Che China 13 338 0.6× 275 0.7× 164 0.7× 113 0.6× 120 0.7× 17 585
Eduardo D. Gomes Portugal 15 357 0.7× 212 0.6× 177 0.7× 124 0.6× 230 1.4× 26 875
Gemma E. Rooney United States 16 450 0.8× 232 0.6× 165 0.7× 189 1.0× 199 1.2× 17 705
Kajana Satkunendrarajah Canada 22 384 0.7× 694 1.8× 349 1.5× 142 0.7× 155 1.0× 30 1.1k
Emily R. Burnside United Kingdom 9 561 1.1× 463 1.2× 149 0.6× 256 1.3× 232 1.4× 13 992
Mingyong Gao China 13 756 1.4× 449 1.2× 275 1.2× 372 1.9× 383 2.4× 18 1.4k

Countries citing papers authored by Bi‐Qin Lai

Since Specialization
Citations

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

Fields of papers citing papers by Bi‐Qin Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi‐Qin Lai. 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 Bi‐Qin Lai. The network helps show where Bi‐Qin Lai may publish in the future.

Co-authorship network of co-authors of Bi‐Qin Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Bi‐Qin Lai. A scholar is included among the top collaborators of Bi‐Qin Lai 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 Bi‐Qin Lai. Bi‐Qin Lai 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.
Ma, Yuan‐Huan, Laijian Wang, Zhou Liu, et al.. (2025). Transcranial Optogenetic Stimulation Promotes Corticospinal Tract Axon Regeneration to Repair Spinal Cord Injury by Activating the JAK2/STAT3 Pathway. Neurospine. 22(2). 311–328. 1 indexed citations
2.
3.
Zhu, Zhaowei, Ge Li, Yujing Zhang, et al.. (2024). Transplantation of peripheral nerve tissueoid based on a decellularized optic nerve scaffold to restore rat hindlimb sensory and movement functions. Biomaterials. 315. 122949–122949. 5 indexed citations
4.
Liu, Jialin, Rongjie Wu, Haiyang Yu, et al.. (2023). The therapeutic mechanism of transcranial iTBS on nerve regeneration and functional recovery in rats with complete spinal cord transection. Frontiers in Immunology. 14. 1153516–1153516. 6 indexed citations
5.
6.
Zeng, Xiang, Yuan‐Huan Ma, Ying Ding, et al.. (2023). A biocompatible gelatin sponge scaffold confers robust tissue remodeling after spinal cord injury in a non-human primate model. Biomaterials. 299. 122161–122161. 11 indexed citations
7.
8.
Liu, Tianqing, Guicai Li, Bi‐Qin Lai, et al.. (2023). Role of inflammation in neurological damage and regeneration following spinal cord injury and its therapeutic implications. Burns & Trauma. 11. tkac054–tkac054. 33 indexed citations
9.
Zeng, Xiang, Bi‐Qin Lai, Yuan‐Huan Ma, et al.. (2022). Transcription Profiling of a Revealed the Potential Molecular Mechanism of Governor Vessel Electroacupuncture for Spinal Cord Injury in Rats. Neurospine. 19(3). 757–769. 3 indexed citations
10.
Xing, Lingyan, Rui Chai, Jiaqi Lin, et al.. (2022). Expression of myelin transcription factor 1 and lamin B receptor mediate neural progenitor fate transition in the zebrafish spinal cord pMN domain. Journal of Biological Chemistry. 298(10). 102452–102452. 8 indexed citations
11.
Ma, Yuan‐Huan, Huijuan Shi, Zhou Liu, et al.. (2021). Developing a mechanically matched decellularized spinal cord scaffold for the in situ matrix-based neural repair of spinal cord injury. Biomaterials. 279. 121192–121192. 46 indexed citations
12.
Li, Ge, Bao Zhang, Liyang Shi, et al.. (2021). An NT-3-releasing bioscaffold supports the formation of TrkC-modified neural stem cell-derived neural network tissue with efficacy in repairing spinal cord injury. Bioactive Materials. 6(11). 3766–3781. 52 indexed citations
13.
Lai, Bi‐Qin, Bao Zhang, Shu Liu, et al.. (2021). Construction of a niche-specific spinal white matter-like tissue to promote directional axon regeneration and myelination for rat spinal cord injury repair. Bioactive Materials. 11. 15–31. 32 indexed citations
14.
Quan, Qi, Lei Hong, Yu Wang, et al.. (2021). Hybrid material mimics a hypoxic environment to promote regeneration of peripheral nerves. Biomaterials. 277. 121068–121068. 16 indexed citations
15.
Jin, Hui, Yuting Zhang, Yang Yang, et al.. (2019). Electroacupuncture Facilitates the Integration of Neural Stem Cell-Derived Neural Network with Transected Rat Spinal Cord. Stem Cell Reports. 12(2). 274–289. 32 indexed citations
16.
Lai, Bi‐Qin, Mingtian Che, Bao-Ling Du, et al.. (2016). Transplantation of tissue engineering neural network and formation of neuronal relay into the transected rat spinal cord. Biomaterials. 109. 40–54. 64 indexed citations
17.
Qiu, Xuecheng, Hui Jin, Ying Ding, et al.. (2015). Donor mesenchymal stem cell-derived neural-like cells transdifferentiate into myelin-forming cells and promote axon regeneration in rat spinal cord transection. Stem Cell Research & Therapy. 6(1). 105–105. 39 indexed citations
18.
Lai, Bi‐Qin, Junmei Wang, Eng‐Ang Ling, Jin‐Lang Wu, & Yuan‐Shan Zeng. (2013). Graft of a Tissue-Engineered Neural Scaffold Serves as a Promising Strategy to Restore Myelination after Rat Spinal Cord Transection. Stem Cells and Development. 23(8). 910–921. 34 indexed citations
19.
Lai, Bi‐Qin, Junmei Wang, Jingjing Duan, et al.. (2013). The integration of NSC-derived and host neural networks after rat spinal cord transection. Biomaterials. 34(12). 2888–2901. 41 indexed citations
20.
Zeng, Xiang, et al.. (2013). Neurotrophin-3 Stimulates Migration of Mesenchymal Stem Cells Overexpressing TrkC. Current Medicinal Chemistry. 20(24). 3022–3033. 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.

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