De Liang
Impact in
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- Bone health and osteoporosis research
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- Spine and Intervertebral Disc Pathology
Papers in
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- Bone health and osteoporosis research 11
- Surgery 33
- Spinal Fractures and Fixation Techniques 19
- Cervical and Thoracic Myelopathy 8
- Co-authors
- Xiaobing Jiang (35 shared papers)Gengyang Shen (32 shared papers)Jingjing Tang (25 shared papers)Hui Jun Ren (30 shared papers)Zhidong Yang (20 shared papers)Xiang Yu (23 shared papers)Qi Shang (23 shared papers)Zhensong Yao (23 shared papers)
In The Last Decade
De Liang
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Orthopedics and Sports Medicine 177
- Pathology and Forensic Medicine 312
- Surgery 607
- Cancer Research 171
- Molecular Biology 498
Countries citing papers authored by De Liang
This map shows the geographic impact of De Liang'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 De Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Liang more than expected).
Fields of papers citing papers by De Liang
This network shows the impact of papers produced by De Liang. 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 De Liang. The network helps show where De Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside De Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 132 | |
| 2 | 2018 | 82 | |
| 3 | 2015 | 72 | |
| 4 | 2018 | 70 | |
| 5 | 2020 | 53 | |
| 6 | 2018 | 53 | |
| 7 | 2016 | 46 | |
| 8 | 2020 | 46 | |
| 9 | 2017 | 45 | |
| 10 | 2017 | 43 | |
| 11 | 2019 | 43 | |
| 12 | 2019 | 40 | |
| 13 | 2018 | 39 | |
| 14 | 2020 | 38 | |
| 15 | 2018 | 38 | |
| 16 | 2017 | 36 | |
| 17 | 2017 | 36 | |
| 18 | 2015 | 31 | |
| 19 | 2021 | 28 | |
| 20 | 2017 | 27 |
About De Liang
De Liang is a scholar working on Orthopedics and Sports Medicine, Surgery, Pathology and Forensic Medicine, Cancer Research and Molecular Biology, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (20 papers), Spinal Fractures and Fixation Techniques (19 papers), Spine and Intervertebral Disc Pathology (13 papers), Bone health and osteoporosis research (11 papers), Cervical and Thoracic Myelopathy (8 papers), Bone health and treatments (5 papers), MicroRNA in disease regulation (5 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (177 citations), Pathology and Forensic Medicine (312 citations), Surgery (607 citations), Cancer Research (171 citations) and Molecular Biology (498 citations). De Liang has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include Xiaobing Jiang, Gengyang Shen, Jingjing Tang, Hui Jun Ren, Zhidong Yang, Xiang Yu, Qi Shang, Zhensong Yao, Zhida Zhang and Wenhua Zhao. Their work appears in journals such as World Neurosurgery, Journal of Cellular Physiology, BMC Musculoskeletal Disorders, Evidence-based Complementary and Alternative Medicine and Journal of Orthopaedic Surgery and 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.