Deying Su
Impact in
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- Spine and Intervertebral Disc Pathology
Papers in
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- Ubiquitin and proteasome pathways 2
- TGF-β signaling in diseases 2
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- Spine and Intervertebral Disc Pathology 4
- Co-authors
- Peiqiang Su (14 shared papers)Zhiheng Liao (13 shared papers)Taifeng Zhou (11 shared papers)Yuyu Chen (7 shared papers)Hengyu Liu (5 shared papers)Shun Zhang (5 shared papers)Yong Wan (2 shared papers)Xianjian Qiu (3 shared papers)
- Journals
- Molecular Therapy (2 papers)Genetics in Medicine (1 paper)Advanced Science (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)Genes & Diseases (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Deying Su
19 papers receiving 297 citations
Deying Su's Hit Papers
Peers
Comparison fields: 5 of 67
- Pathology and Forensic Medicine 90
- Developmental Biology 7
- Rheumatology 40
- Pharmacology 41
- Molecular Biology 106
Countries citing papers authored by Deying Su
This map shows the geographic impact of Deying Su'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 Deying Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deying Su more than expected).
Fields of papers citing papers by Deying Su
This network shows the impact of papers produced by Deying Su. 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 Deying Su. The network helps show where Deying Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Deying Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Self-amplifying loop of NF-κB and periostin initiated by PIEZO1 accelerates mechano-induced senescence of nucleus pulposus cells and intervertebral disc degeneration Hit paper breakdown → | 2022 | 123 |
| 2 | 2023 | 36 | |
| 3 | 2018 | 20 | |
| 4 | 2019 | 19 | |
| 5 | 2018 | 18 | |
| 6 | 2019 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2018 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 0 |
About Deying Su
Deying Su is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Mechanical Engineering, Surgery and Control and Systems Engineering, having authored 20 papers that have together received 298 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Ubiquitin and proteasome pathways (2 papers), TGF-β signaling in diseases (2 papers), Scoliosis diagnosis and treatment (2 papers), Osteoarthritis Treatment and Mechanisms (1 paper), Pregnancy-related medical research (1 paper) and Mechanical Engineering and Vibrations Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (90 citations), Developmental Biology (7 citations), Rheumatology (40 citations), Pharmacology (41 citations) and Molecular Biology (106 citations). Deying Su has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Peiqiang Su, Zhiheng Liao, Taifeng Zhou, Yuyu Chen, Hengyu Liu, Shun Zhang, Yong Wan, Xianjian Qiu, Jinna Wu and Taiqiu Chen. Their work appears in journals such as Molecular Therapy, Genetics in Medicine, Advanced Science, Oxidative Medicine and Cellular Longevity and Genes & Diseases.
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.