Xiaolong Liao

15 papers receiving 325 citations

Peers

Xiaolong Liao
Comparison fields: 5 of 72
  • Molecular Biology 110
  • Pathology and Forensic Medicine 89
  • Emergency Medicine 62
  • Cardiology and Cardiovascular Medicine 57
  • Complementary and alternative medicine 51
Replace Hongwei Ye with:
Hongwei Ye China
Kai Dong China
Mark Sumeray United Kingdom
Ana Maria M. Coelho Brazil
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Xiaolong Liao relative to Hongwei Ye China Hongwei Ye's profile →
Citations per field
00.5×3.2×
Hongwei Ye · 1×
Citations per year

Countries citing papers authored by Xiaolong Liao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Liao. A scholar is included among the top collaborators of Xiaolong Liao 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 Xiaolong Liao. Xiaolong Liao 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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 2
6 1
7
A Comparative Study of the Early Postoperative Outcome of Three Intramedullary Fixation Modalities in the Treatment of Intertrochanteric Fractures of the Femur in the Elderly.
3
8
Identification of key genes and pathways associated with gender difference in osteonecrosis of the femoral head based on bioinformatics analysis.
3
9
Identification of key genes and pathways associated with sex difference in osteoarthritis based on bioinformatics analysis.
5
10 85
11 12
12 6
13 59
14 24
15 17
16 52
17 56
18 2
19 2
20 0

About Xiaolong Liao

Xiaolong Liao is a scholar working on Developmental Neuroscience, Emergency Medicine and Pathology and Forensic Medicine, having authored 20 papers that have together received 329 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (4 papers), Cardiac Arrest and Resuscitation (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Developmental Neuroscience (51 citations), Emergency Medicine (62 citations) and Complementary and alternative medicine (51 citations). Xiaolong Liao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jing‐Song Ou, Feng-Jun Chang, Zhiping Wang, Zhi‐Jun Ou, Ying-Qi Xu, Xi Zhang, Zhengyuan Xia, Dan Luo, Wenguang Chen and Wen Chen. Their work appears in journals such as PLoS ONE, American Journal of Physiology-Endocrinology and Metabolism and Journal of Thoracic and Cardiovascular Surgery.

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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