Zhong Liu

18 papers receiving 347 citations

Peers

Zhong Liu
Comparison fields: 5 of 67
  • Pathology and Forensic Medicine 94
  • Endocrinology, Diabetes and Metabolism 63
  • Orthopedics and Sports Medicine 27
  • Nutrition and Dietetics 39
  • Nephrology 16
Replace Vijaya Majumdar with:
Vijaya Majumdar India
M.-L. Hellénius Sweden
Małgorzata Kupisz-Urbańska Poland
Zahra Hajhashemy Iran
A-M. Borissova Bulgaria
Bernard Jandrain Belgium
Afsaneh Talaei Iran
Jalaledin Mirzay Razaz Iran
Lauren Wells United States
Xizhao Li China
Zhong Liu relative to Vijaya Majumdar India Vijaya Majumdar's profile →
Citations per field
00.5×2.7×
Vijaya Majumdar · 1×
Citations per year

Countries citing papers authored by Zhong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010208
2 201083
3 201319
4 20238
5 20157
6 20076
7 20244
8 20243
9 20183
10 20242
11 20242
12 20102
13
[Staged treatment of infectious long bone defect in lower extremity].
20141
14 20111
15 20221
16 20111
17 20231
18 20241

About Zhong Liu

Zhong Liu is a scholar working on Pathology and Forensic Medicine, Epidemiology, Genetics, Biomedical Engineering and Molecular Biology, having authored 18 papers that have together received 353 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (4 papers), Musculoskeletal pain and rehabilitation (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Chronic Disease Management Strategies (1 paper), Autopsy Techniques and Outcomes (1 paper), High Altitude and Hypoxia (1 paper), Advanced X-ray and CT Imaging (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (94 citations), Endocrinology, Diabetes and Metabolism (63 citations), Orthopedics and Sports Medicine (27 citations), Nutrition and Dietetics (39 citations) and Nephrology (16 citations). Zhong Liu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Shenghui Wu, Suzanne C. Ho, Suzanne C. Ho, Ruichun Dong, Ying Liu, Wen Li, Yi‐Ming Fan, Yanping Yang, Hong Liu and Min Zhang. Their work appears in journals such as European Journal of Epidemiology, Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, Clinical Biomechanics, Nutrition and Cancer and Archives of Physical Medicine and Rehabilitation.

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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