Jin‐Lang Wu

1.1k total citations
22 papers, 924 citations indexed

About

Jin‐Lang Wu is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Jin‐Lang Wu has authored 22 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 12 papers in Developmental Neuroscience and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Jin‐Lang Wu's work include Nerve injury and regeneration (17 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Spinal Cord Injury Research (10 papers). Jin‐Lang Wu is often cited by papers focused on Nerve injury and regeneration (17 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Spinal Cord Injury Research (10 papers). Jin‐Lang Wu collaborates with scholars based in China, Singapore and United States. Jin‐Lang Wu's co-authors include Yuan‐Shan Zeng, Eng‐Ang Ling, Junmei Wang, Bi‐Qin Lai, Xiang Zeng, Xuecheng Qiu, Ying Ding, Yuan‐Huan Ma, Bao-Ling Du and Daping Quan and has published in prestigious journals such as PLoS ONE, Biomaterials and Advanced Functional Materials.

In The Last Decade

Jin‐Lang Wu

22 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Lang Wu China 18 593 380 238 228 184 22 924
Hongmei Duan China 18 516 0.9× 355 0.9× 222 0.9× 232 1.0× 140 0.8× 48 1.1k
Xiaoguang Li China 16 422 0.7× 392 1.0× 172 0.7× 217 1.0× 113 0.6× 36 963
Sai Zhang China 20 481 0.8× 367 1.0× 300 1.3× 157 0.7× 300 1.6× 31 1.6k
Bi‐Qin Lai China 20 534 0.9× 380 1.0× 239 1.0× 191 0.8× 123 0.7× 38 821
Eduardo D. Gomes Portugal 15 357 0.6× 212 0.6× 177 0.7× 124 0.5× 274 1.5× 26 875
Peng Hao China 15 378 0.6× 240 0.6× 188 0.8× 150 0.7× 91 0.5× 28 853
Dong Hoon Hwang South Korea 16 574 1.0× 374 1.0× 172 0.7× 308 1.4× 196 1.1× 30 1.1k
Howard Kim Canada 17 496 0.8× 172 0.5× 206 0.9× 247 1.1× 86 0.5× 31 1.1k
Xianhu Zhou China 16 333 0.6× 442 1.2× 278 1.2× 140 0.6× 139 0.8× 32 1.1k
Philippa M. Warren United Kingdom 13 614 1.0× 698 1.8× 177 0.7× 218 1.0× 131 0.7× 20 1.3k

Countries citing papers authored by Jin‐Lang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Lang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Lang Wu. 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 Jin‐Lang Wu. The network helps show where Jin‐Lang Wu may publish in the future.

Co-authorship network of co-authors of Jin‐Lang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Lang Wu. A scholar is included among the top collaborators of Jin‐Lang Wu 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 Jin‐Lang Wu. Jin‐Lang Wu 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.
Wu, Jin‐Lang, Wenbiao Xian, Bing Liao, et al.. (2020). Muscular involvement and tendon contracture in limb-girdle muscular dystrophy 2Y: a mild adult phenotype and literature review. BMC Musculoskeletal Disorders. 21(1). 588–588. 7 indexed citations
2.
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
3.
Zeng, Xiang, Yuan‐Huan Ma, Yuanfeng Chen, et al.. (2016). Autocrine fibronectin from differentiating mesenchymal stem cells induces the neurite elongationin vitroand promotes nerve fiber regeneration in transected spinal cord injury. Journal of Biomedical Materials Research Part A. 104(8). 1902–1911. 30 indexed citations
4.
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
5.
Ding, Ying, Bing He, Zhou Liu, et al.. (2015). Combination of Electroacupuncture and Grafted Mesenchymal Stem Cells Overexpressing TrkC Improves Remyelination and Function in Demyelinated Spinal Cord of Rats. Scientific Reports. 5(1). 9133–9133. 32 indexed citations
6.
Lai, Bi‐Qin, Xuecheng Qiu, Hui Jin, et al.. (2015). Cholera Toxin B Subunit Shows Transneuronal Tracing after Injection in an Injured Sciatic Nerve. PLoS ONE. 10(12). e0144030–e0144030. 20 indexed citations
7.
Zeng, Xiang, Xuecheng Qiu, Yuan‐Huan Ma, et al.. (2015). Integration of donor mesenchymal stem cell-derived neuron-like cells into host neural network after rat spinal cord transection. Biomaterials. 53. 184–201. 89 indexed citations
8.
9.
10.
Du, Bao-Ling, Xiang Zeng, Yuan‐Huan Ma, et al.. (2014). Graft of the gelatin sponge scaffold containing genetically-modified neural stem cells promotes cell differentiation, axon regeneration, and functional recovery in rat with spinal cord transection. Journal of Biomedical Materials Research Part A. 103(4). 1533–1545. 29 indexed citations
11.
12.
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
13.
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
14.
Wei, Xu‐Hong, Tao Yang, Wen‐Jun Xin, et al.. (2012). Peri-sciatic administration of recombinant rat IL-1β induces mechanical allodynia by activation of src-family kinases in spinal microglia in rats. Experimental Neurology. 234(2). 389–397. 33 indexed citations
15.
Du, Bao-Ling, Yi Xiong, Chenguang Zeng, et al.. (2011). Transplantation of artificial neural construct partly improved spinal tissue repair and functional recovery in rats with spinal cord transection. Brain Research. 1400. 87–98. 30 indexed citations
16.
Wang, Junmei, Yuan‐Shan Zeng, Jin‐Lang Wu, Yan Li, & Yang D. Teng. (2011). Cograft of neural stem cells and schwann cells overexpressing TrkC and neurotrophin-3 respectively after rat spinal cord transection. Biomaterials. 32(30). 7454–7468. 56 indexed citations
17.
Ding, Ying, Jingwen Ruan, Jin‐Lang Wu, et al.. (2011). An experimental electro-acupuncture study in treatment of the rat demyelinated spinal cord injury induced by ethidium bromide. Neuroscience Research. 70(3). 294–304. 35 indexed citations
18.
Xiong, Yi, Yuan‐Shan Zeng, Chenguang Zeng, et al.. (2009). Synaptic transmission of neural stem cells seeded in 3-dimensional PLGA scaffolds. Biomaterials. 30(22). 3711–3722. 78 indexed citations
19.
Zhang, Xuebao, et al.. (2007). Co-Transplantation of Neural Stem Cells and NT-3-Overexpressing Schwann Cells in Transected Spinal Cord. Journal of Neurotrauma. 24(12). 1863–1877. 58 indexed citations
20.
Wu, Ziyan, et al.. (2006). Remote measurement platform based on DataSocket and .NET framework. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6358. 63581W–63581W. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hongmei Duan Breakdown of academic impact, for papers by Xiaoguang Li Breakdown of academic impact, for papers by Sai Zhang Breakdown of academic impact, for papers by Bi‐Qin Lai Breakdown of academic impact, for papers by Eduardo D. Gomes Breakdown of academic impact, for papers by Peng Hao Breakdown of academic impact, for papers by Dong Hoon Hwang Breakdown of academic impact, for papers by Howard Kim Breakdown of academic impact, for papers by Xianhu Zhou Breakdown of academic impact, for papers by Philippa M. Warren
Rankless by CCL
2026