Shangli Liu

75 total papers · 448 total citations
29 papers, 355 citations indexed

About

Shangli Liu is a scholar working on Surgery, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Shangli Liu has authored 29 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Pathology and Forensic Medicine and 6 papers in Molecular Biology. Recurrent topics in Shangli Liu's work include Spine and Intervertebral Disc Pathology (10 papers), Medical Imaging and Analysis (6 papers) and Musculoskeletal pain and rehabilitation (4 papers). Shangli Liu is often cited by papers focused on Spine and Intervertebral Disc Pathology (10 papers), Medical Imaging and Analysis (6 papers) and Musculoskeletal pain and rehabilitation (4 papers). Shangli Liu collaborates with scholars based in China, United States and United Kingdom. Shangli Liu's co-authors include Dongsheng Huang, Yue Ding, Ming Lei, Jianyi Xiong, Meng Fan, Yue Ding, Deming Xiao, Yang Chen, Daping Wang and Peiqiang Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, Spine and Clinical Orthopaedics and Related Research.

In The Last Decade

Shangli Liu

27 papers receiving 352 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shangli Liu 124 113 103 93 75 29 355
Qihang Su 176 1.4× 125 1.1× 96 0.9× 73 0.8× 52 0.7× 32 369
Chanmi Lee 50 0.4× 57 0.5× 24 0.2× 120 1.3× 21 0.3× 22 342
Huiqiao Wu 237 1.9× 240 2.1× 50 0.5× 66 0.7× 43 0.6× 37 403
Sheng Guo 114 0.9× 85 0.8× 85 0.8× 84 0.9× 44 0.6× 18 311
Eun Kyung Kim 45 0.4× 46 0.4× 33 0.3× 110 1.2× 22 0.3× 32 344
Hong‐guang Xu 131 1.1× 57 0.5× 77 0.7× 142 1.5× 104 1.4× 25 322
Nanwen Zhang 43 0.3× 41 0.4× 32 0.3× 124 1.3× 26 0.3× 29 353
Ana Alonso‐Pérez 16 0.1× 28 0.2× 52 0.5× 123 1.3× 113 1.5× 17 320
Junwei Zong 40 0.3× 71 0.6× 16 0.2× 128 1.4× 21 0.3× 33 337
Chang Jiang 119 1.0× 55 0.5× 44 0.4× 156 1.7× 34 0.5× 41 369

Countries citing papers authored by Shangli Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shangli Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangli Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shangli Liu. A scholar is included among the top collaborators of Shangli 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 Shangli Liu. Shangli Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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