Xiaolin Liu

1.9k citations
51 papers · 1.6k · h-index 21

Impact in

Papers in

    • Nerve injury and regeneration 36
    • Neuroscience and Neuropharmacology Research 3
    • Axon Guidance and Neuronal Signaling 2
    • Tissue Engineering and Regenerative Medicine 11
    • Nerve Injury and Rehabilitation 4

Xiaolin Liu

50 papers receiving 1.6k citations

Peers

Xiaolin Liu
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 1.2k
  • Developmental Neuroscience 186
  • Biomaterials 304
  • Genetics 159
  • Rehabilitation 74
Replace Giulia Ronchi with:
Giulia Ronchi Italy
Catherine A. Munro Canada
Alessandro Faroni United Kingdom
Wen Hu China
Maria G. Giacobini‐Robecchi Italy
Stephen W.P. Kemp United States
Liudmila N. Novikova Sweden
Tessa Gordon Canada
Xueyu Hu China
Yuan‐Shan Zeng China
Xiaolin Liu relative to Giulia Ronchi Italy Giulia Ronchi's profile →
Citations per field
00.5×1.5×
Giulia Ronchi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaolin Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaolin Liu Line = papers co-authored together Xiaolin Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998270
2 1999148
3 2007133
4 200799
5 201880
6 201369
7 201466
8 201860
9 200860
10 201446
11 201743
12 201640
13 202039
14 201038
15 202034
16 201325
17 201624
18 202022
19 201622
20 201721

About Xiaolin Liu

Xiaolin Liu is a scholar working on Cellular and Molecular Neuroscience, Surgery, Biomaterials, Genetics and Molecular Biology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nerve injury and regeneration (36 papers), Electrospun Nanofibers in Biomedical Applications (12 papers), Tissue Engineering and Regenerative Medicine (11 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Mesenchymal stem cell research (5 papers), Nerve Injury and Rehabilitation (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (186 citations), Biomaterials (304 citations), Genetics (159 citations) and Rehabilitation (74 citations). Xiaolin Liu has collaborated with scholars based in China, United States and Australia. Frequent 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 Yangbin Xu. Their work appears in journals such as Journal of Tissue Engineering and Regenerative Medicine, Neuroreport, Journal of Reconstructive Microsurgery, Experimental Neurology and Neurological Research.

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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