Xiaolin Liu

2.0k total citations
66 papers, 1.6k citations indexed

About

Xiaolin Liu is a scholar working on Surgery, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Xiaolin Liu has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Surgery, 18 papers in Cellular and Molecular Neuroscience and 13 papers in Biomaterials. Recurrent topics in Xiaolin Liu's work include Nerve injury and regeneration (18 papers), Tissue Engineering and Regenerative Medicine (13 papers) and Electrospun Nanofibers in Biomedical Applications (13 papers). Xiaolin Liu is often cited by papers focused on Nerve injury and regeneration (18 papers), Tissue Engineering and Regenerative Medicine (13 papers) and Electrospun Nanofibers in Biomedical Applications (13 papers). Xiaolin Liu collaborates with scholars based in China, United States and Australia. Xiaolin Liu's co-authors include Qingtang Zhu, Daping Quan, Zilong Rao, Shuai Qiu, Ying Bai, Yunlong Yang, Qiuning Lin, Linyong Zhu, Shihao Chen and Sheng Liu and has published in prestigious journals such as PLoS ONE, Biomaterials and Advanced Functional Materials.

In The Last Decade

Xiaolin Liu

64 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 20 779 477 442 338 128 66 1.6k
Qingtang Zhu China 17 584 0.7× 452 0.9× 375 0.8× 309 0.9× 86 0.7× 60 1.1k
Ali Gürlek Türkiye 23 1.1k 1.4× 313 0.7× 431 1.0× 451 1.3× 93 0.7× 60 1.9k
Zilong Rao China 19 511 0.7× 470 1.0× 497 1.1× 411 1.2× 60 0.5× 32 1.2k
Leila Harhaus Germany 18 911 1.2× 290 0.6× 273 0.6× 658 1.9× 186 1.5× 119 1.8k
Ying Bai China 22 414 0.5× 436 0.9× 412 0.9× 436 1.3× 87 0.7× 64 1.4k
MaCalus V. Hogan United States 25 1.0k 1.3× 269 0.6× 218 0.5× 422 1.2× 93 0.7× 114 2.0k
Ahmet Bozkurt Germany 24 843 1.1× 1.1k 2.3× 588 1.3× 450 1.3× 98 0.8× 73 2.0k
Sami Tuffaha United States 22 922 1.2× 629 1.3× 244 0.6× 160 0.5× 175 1.4× 118 1.6k
Fuminori Kanaya Japan 26 786 1.0× 268 0.6× 209 0.5× 448 1.3× 118 0.9× 118 2.0k
Ana Lúcia Luís Portugal 21 427 0.5× 612 1.3× 431 1.0× 324 1.0× 52 0.4× 42 1.3k

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.
Liu, Xiaolin, et al.. (2025). Synthesis of Polyurethane-Poly(N-isopropylacrylamide) for bitumen modification with humidity triggered self-healing ability. Construction and Building Materials. 490. 142568–142568. 1 indexed citations
2.
Yang, Wenbo, Juncheng Li, Tian Xia, et al.. (2024). Bio-based sunflower carbon/polyethylene glycol shape-stabilized phase change materials for thermal energy storage. RSC Advances. 14(33). 24141–24151. 11 indexed citations
3.
Lin, Jiaxi, Shiqi Zhu, Minyue Yin, et al.. (2024). Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework. Heliyon. 10(4). e26559–e26559. 3 indexed citations
4.
Li, Youbing, et al.. (2022). Preparation and structure-properties of crosslinking organic montmorillonite/polyurethane as solid-solid phase change materials for thermal energy storage. Solar Energy Materials and Solar Cells. 244. 111831–111831. 40 indexed citations
5.
Yin, Minyue, Lu Liu, Jingwen Gao, et al.. (2022). Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals. Frontiers in Cellular and Infection Microbiology. 12. 886935–886935. 20 indexed citations
6.
Yang, Jiantao, et al.. (2022). Validity and Reliability of a Depth Camera–Based Quantitative Measurement for Joint Motion of the Hand. Journal of Hand Surgery Global Online. 5(1). 39–47. 4 indexed citations
7.
Cai, Chengfeng, et al.. (2022). Automatic detection of abnormal hand gestures in patients with radial, ulnar, or median nerve injury using hand pose estimation. Frontiers in Neurology. 13. 1052505–1052505. 5 indexed citations
8.
9.
Liu, Sheng, Shihao Chen, Shuai Qiu, et al.. (2018). Hydrogel derived from porcine decellularized nerve tissue as a promising biomaterial for repairing peripheral nerve defects. Acta Biomaterialia. 73. 326–338. 130 indexed citations
10.
Zhang, Yi, Jian Qi, Wei-Ya Wang, et al.. (2018). Three-dimensional visualization of the functional fascicular groups of a long-segment peripheral nerve. Neural Regeneration Research. 13(8). 1465–1465. 1 indexed citations
11.
Yang, Yunlong, Xiaolin Liu, Yan Li, et al.. (2017). A postoperative anti-adhesion barrier based on photoinduced imine-crosslinking hydrogel with tissue-adhesive ability. Acta Biomaterialia. 62. 199–209. 87 indexed citations
12.
Yang, Jiantao, Yi Yang, Liqiang Gu, et al.. (2016). Diagnostic Value and Surgical Implications of the 3D DW-SSFP MRI On the Management of Patients with Brachial Plexus Injuries. Scientific Reports. 6(1). 35999–35999. 19 indexed citations
13.
14.
Yang, Jiantao, Yi Yang, Xiangming Li, et al.. (2015). Flow-through anastomosis using a T-shaped vascular pedicle for gracilis functioning free muscle transplantation in brachial plexus injury. Clinics. 70(8). 544–549. 8 indexed citations
15.
Yi, Jianhua, Dong Wang, Zhiyong Li, et al.. (2014). C-Reactive Protein as a Prognostic Factor for Human Osteosarcoma: A Meta-Analysis and Literature Review. PLoS ONE. 9(5). e94632–e94632. 34 indexed citations
16.
Gu, Liqiang, Ping Li, Jianping Xiang, et al.. (2010). Investigation and analysis of the quality of life on brachial plexus injury patients. 33(2). 125–128. 1 indexed citations
17.
Li, Jianwen, et al.. (2010). PKH26 dye for tracing the seed cells of tissue-engineered peripheral nerve in vivo. 33(1). 34–37. 2 indexed citations
18.
Yang, Limin, Xiaolin Liu, Qingtang Zhu, et al.. (2010). Human peripheral nerve‐derived scaffold for tissue‐engineered nerve grafts: Histology and biocompatibility analysis. Journal of Biomedical Materials Research Part B Applied Biomaterials. 96B(1). 25–33. 21 indexed citations
19.
Wang, Honggang, Zhiyong Li, & Xiaolin Liu. (2007). Effects of various protocols of ischemic preconditioning on rat tram flaps. Microsurgery. 28(1). 37–43. 16 indexed citations
20.
Wang, Hong‐Gang, Zhiyong Li, & Xiaolin Liu. (2006). Addition of tanshinone IIA to UW solution decreases skeletal muscle ischemia-reperfusion injury1. Acta Pharmacologica Sinica. 27(8). 991–999. 11 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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