Xiaolin Liu

1.9k total citations
51 papers, 1.6k citations indexed

About

Xiaolin Liu is a scholar working on Cellular and Molecular Neuroscience, Surgery and Biomaterials. According to data from OpenAlex, Xiaolin Liu has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 21 papers in Surgery and 15 papers in Biomaterials. Recurrent topics in Xiaolin Liu's work include Nerve injury and regeneration (40 papers), Tissue Engineering and Regenerative Medicine (15 papers) and Electrospun Nanofibers in Biomedical Applications (15 papers). Xiaolin Liu is often cited by papers focused on Nerve injury and regeneration (40 papers), Tissue Engineering and Regenerative Medicine (15 papers) and Electrospun Nanofibers in Biomedical Applications (15 papers). Xiaolin Liu collaborates with scholars based in China, United States and Australia. Xiaolin Liu's co-authors include Arnold R. Kriegstein, Alexander C. Flint, Qingtang Zhu, Jiakai Zhu, Jun Hu, David F. Owens, Li Jiang, Bo He, Canbin Zheng and Daping Quan and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neurophysiology.

In The Last Decade

Xiaolin Liu

49 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Liu China 20 1.2k 527 359 316 217 51 1.6k
Jared M. Cregg United States 14 1.1k 1.0× 317 0.6× 528 1.5× 381 1.2× 417 1.9× 15 2.0k
Catherine A. Munro Canada 18 1.0k 0.9× 716 1.4× 286 0.8× 185 0.6× 216 1.0× 38 2.0k
Stephen W.P. Kemp United States 27 1.6k 1.3× 873 1.7× 284 0.8× 242 0.8× 245 1.1× 83 2.3k
Giulia Ronchi Italy 27 1.3k 1.1× 629 1.2× 435 1.2× 385 1.2× 274 1.3× 73 2.1k
Maria G. Giacobini‐Robecchi Italy 22 999 0.9× 514 1.0× 221 0.6× 227 0.7× 210 1.0× 39 1.5k
Alessandro Faroni United Kingdom 20 1000 0.9× 290 0.6× 370 1.0× 309 1.0× 222 1.0× 44 1.5k
Patrick Decherchi France 24 730 0.6× 379 0.7× 158 0.4× 187 0.6× 253 1.2× 85 1.9k
Tessa Gordon Canada 20 856 0.7× 395 0.7× 119 0.3× 242 0.8× 147 0.7× 27 1.2k
Andrés Hurtado United States 21 1.2k 1.1× 364 0.7× 407 1.1× 510 1.6× 567 2.6× 29 2.2k
Xueyu Hu China 25 1.0k 0.9× 443 0.8× 380 1.1× 378 1.2× 149 0.7× 64 2.0k

Countries citing papers authored by Xiaolin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Liu. A scholar is included among the top collaborators of Xiaolin Liu 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 Xiaolin Liu. Xiaolin Liu 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.
Zhou, Wu, Lihua Qiu, Zhanfeng Liang, et al.. (2025). Brown adipose tissue secretes OLFM4 to coordinate sensory and sympathetic innervation via Schwann cells. Nature Communications. 16(1). 5206–5206.
2.
Zheng, Canbin, Qingtang Zhu, Shuai Qiu, et al.. (2022). A decellularized nerve matrix scaffold inhibits neuroma formation in the stumps of transected peripheral nerve after peripheral nerve injury. Neural Regeneration Research. 18(3). 664–664. 7 indexed citations
3.
4.
Li, Rui, Jinghui Xu, Zilong Rao, et al.. (2020). Facilitate Angiogenesis and Neurogenesis by Growth Factors Integrated Decellularized Matrix Hydrogel. Tissue Engineering Part A. 27(11-12). 771–787. 38 indexed citations
5.
Wang, Xiaojing, Xiaolin Liu, Haiyan Zhang, et al.. (2020). Generation of a human induced pluripotent stem cell line (SDUBMSi001-A) from a hereditary spastic paraplegia patient carrying kif1a c.773C>T missense mutation. Stem Cell Research. 43. 101727–101727. 7 indexed citations
6.
Luo, Peng, Jianghui Dong, Jian Qi, et al.. (2019). An enhanced staining method K-B-2R staining for three-dimensional nerve reconstruction. BMC Neuroscience. 20(1). 32–32. 1 indexed citations
7.
Chen, Hui, Jianping Xiang, Bo He, et al.. (2018). Expression patterns and role of PTEN in rat peripheral nerve development and injury. Neuroscience Letters. 676. 78–84. 6 indexed citations
8.
Han, Na, Baoguo Jiang, Peixun Zhang, et al.. (2018). Tissue engineering for the repair of peripheral nerve injury. Neural Regeneration Research. 14(1). 51–51. 78 indexed citations
9.
Yan, Liwei, Jian Qi, Qingtang Zhu, et al.. (2017). Iodine and freeze-drying enhanced high-resolution MicroCT imaging for reconstructing 3D intraneural topography of human peripheral nerve fascicles. Journal of Neuroscience Methods. 287. 58–67. 20 indexed citations
10.
Yang, Jiantao, Yi Yang, Liwei Yan, et al.. (2017). A novel rat model of brachial plexus injury with nerve root stumps. Journal of Neuroscience Methods. 295. 1–9. 6 indexed citations
11.
Yan, Liwei, Zhi Yao, Tao Lin, et al.. (2017). The role of precisely matching fascicles in the quick recovery of nerve function in long peripheral nerve defects. Neuroreport. 28(15). 1008–1015. 21 indexed citations
12.
Liu, Xiaolin, et al.. (2016). Tissue-engineered rhesus monkey nerve grafts for the repair of long ulnar nerve defects: similar outcomes to autologous nerve grafts. Neural Regeneration Research. 11(11). 1845–1845. 22 indexed citations
13.
Hu, Jun, et al.. (2016). Cartilage oligomeric matrix protein enhances the vascularization of acellular nerves. Neural Regeneration Research. 11(3). 512–512. 1 indexed citations
14.
Zheng, Canbin, et al.. (2014). Improved Peripheral Nerve Regeneration Using Acellular Nerve Allografts Loaded with Platelet-Rich Plasma. Tissue Engineering Part A. 20(23-24). 3228–3240. 65 indexed citations
15.
Zhu, Shuang, Qingtang Zhu, Ting Dai, et al.. (2014). Differentiation of human amniotic epithelial cells into Schwann-like cells via indirect co-culture with Schwann cells in vitro. Molecular Medicine Reports. 11(2). 1221–1227. 7 indexed citations
16.
Zhou, Xiang, Xinhua He, Bo He, et al.. (2013). Etifoxine promotes glial-derived neurotrophic factor-induced neurite outgrowth in PC12 cells. Molecular Medicine Reports. 8(1). 75–80. 16 indexed citations
17.
Li, Fang, Xiaolin Liu, Zhiqiang Su, & Ruihong Sun. (2011). Acidosis leads to brain dysfunctions through impairing cortical GABAergic neurons. Biochemical and Biophysical Research Communications. 410(4). 775–779. 13 indexed citations
18.
Jiang, Li, Jiakai Zhu, Xiaolin Liu, et al.. (2008). Differentiation of rat adipose tissue-derived stem cells into Schwann-like cells in vitro. Neuroreport. 19(10). 1015–1019. 60 indexed citations
19.
Flint, Alexander C., Xiaolin Liu, & Arnold R. Kriegstein. (1998). Nonsynaptic Glycine Receptor Activation during Early Neocortical Development. Neuron. 20(1). 43–53. 270 indexed citations
20.
Liu, Xiaolin & Jiakai Zhu. (1990). The Histochemical Study of Rat Sciatic Nerve Cholinesterase in Degeneration and Regeneration. Journal of Reconstructive Microsurgery. 6(1). 43–47. 4 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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