Xiaoling Liao

2.7k citations
109 papers · 2.1k indexed · 2 hit papers · h-index 25

Xiaoling Liao

102 papers receiving 2.1k citations

Hit Papers

A comprehensive review of t...59202020262022202450100150200250

Peers

Xiaoling Liao
Comparison fields: 5 of 138
  • Biomaterials 480
  • Surfaces, Coatings and Films 190
  • Biomedical Engineering 668
  • Molecular Medicine 74
  • Cellular and Molecular Neuroscience 192
Replace Daniela Guarnieri with:
Daniela Guarnieri Italy
Xujie Liu China
Adam C. Midgley China
Paul Thevenot United States
Anirban Sen Gupta United States
Nan Zhao China
Zifei Zhou China
Teng Su China
Bo Yuan China
Wenxue Zhao China
Xiaoling Liao relative to Daniela Guarnieri Italy Daniela Guarnieri's profile →
Citations per field
00.5×
Daniela Guarnieri · 1×
Citations per year

Countries citing papers authored by Xiaoling Liao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xiaoling Liao, 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 Xiaoling Liao Line = papers co-authored together Xiaoling Liao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20240
4 202310
5 20237
6 202318
7 20237
8 202312
9 202262
10 20220
11 202157
12 20199
13 20182
14 201617
15 201620
16 201630
17 201311
18 20117
19 201115
20 20074

About Xiaoling Liao

Xiaoling Liao is a scholar working on Biomaterials, Surfaces, Coatings and Films, Biomedical Engineering, Cell Biology and Immunology and Allergy, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (17 papers), Bone Tissue Engineering Materials (15 papers), Cellular Mechanics and Interactions (9 papers), Silk-based biomaterials and applications (9 papers), Advanced Nanomaterials in Catalysis (8 papers), Graphene and Nanomaterials Applications (7 papers), Nanocluster Synthesis and Applications (6 papers) and Nanoplatforms for cancer theranostics (6 papers). The work is most often cited by research in Biomaterials (480 citations), Surfaces, Coatings and Films (190 citations), Biomedical Engineering (668 citations), Molecular Medicine (74 citations) and Cellular and Molecular Neuroscience (192 citations). Xiaoling Liao has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Bo Li, Liang Fang, Jia Hu, Wei Wu, Wenqian Xiao, Yi Wang, Ali Maruf, Fang Wu, Guixue Wang and Jiao Xie. Their work appears in journals such as Materials Science and Engineering C, PLoS ONE, Journal of Biomaterials Science Polymer Edition, Journal of Fluorescence and Applied Surface Science.

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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