Guangzhi Ning
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- Spinal Cord Injury Research 26
- Spine and Intervertebral Disc Pathology 14
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 9
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- Nerve injury and regeneration 19
- Genetics top 5%
- Connective tissue disorders research 5
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- Spinal Fractures and Fixation Techniques 7
- Cervical and Thoracic Myelopathy 5
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- Musculoskeletal pain and rehabilitation 5
- Co-authors
- Shiqing FengXiaohong KongXianhu ZhouHengxing ZhouShun-Li KanLingxiao ChenZhijian WeiBaoyou Fan
- Cited by
- Pathology and Forensic MedicineDevelopmental NeuroscienceCellular and Molecular Neuroscience
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Guangzhi Ning
78 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Pathology and Forensic Medicine 896
- Developmental Neuroscience 187
- Cellular and Molecular Neuroscience 437
- Orthopedics and Sports Medicine 193
- Genetics 196
Countries citing papers authored by Guangzhi Ning
This map shows the geographic impact of Guangzhi Ning'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 Guangzhi Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangzhi Ning more than expected).
Fields of papers citing papers by Guangzhi Ning
This network shows the impact of papers produced by Guangzhi Ning. 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 Guangzhi Ning. The network helps show where Guangzhi Ning may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guangzhi Ning, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 18 | |
| 7 | 2019 | 53 | |
| 8 | 2018 | 10 | |
| 9 | 2018 | 25 | |
| 10 | 2017 | 11 | |
| 11 | 2017 | 13 | |
| 12 | 2017 | 24 | |
| 13 | 2017 | 16 | |
| 14 | 2016 | 12 | |
| 15 | 2016 | 36 | |
| 16 | 2015 | 63 | |
| 17 | 2014 | 22 | |
| 18 | 2013 | 1 | |
| 19 | 2012 | 32 | |
| 20 | 2009 | 16 |
About Guangzhi Ning
Guangzhi Ning is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (26 papers), Nerve injury and regeneration (19 papers), Spine and Intervertebral Disc Pathology (14 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Spinal Fractures and Fixation Techniques (7 papers), Cervical and Thoracic Myelopathy (5 papers), Connective tissue disorders research (5 papers) and Musculoskeletal pain and rehabilitation (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (896 citations), Developmental Neuroscience (187 citations) and Cellular and Molecular Neuroscience (437 citations). Guangzhi Ning has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shiqing Feng, Xiaohong Kong, Xianhu Zhou, Hengxing Zhou, Shun-Li Kan, Lingxiao Chen, Zhijian Wei, Baoyou Fan, Xin Cheng and Guidong Shi. Their work appears in journals such as Nano Letters, PLoS ONE and Advanced Functional Materials.
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.