Dayu Pan
Impact in
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- Spinal Cord Injury Research
- Spine and Intervertebral Disc Pathology
Papers in
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- Circular RNAs in diseases 4
- Extracellular vesicles in disease 4
- Bone Metabolism and Diseases 3
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- Spine and Intervertebral Disc Pathology 5
- Spinal Cord Injury Research 4
- Co-authors
- Shiqing Feng (9 shared papers)Hengxing Zhou (3 shared papers)Yi Kang (1 shared paper)Lu Liu (1 shared paper)Zhijian Wei (1 shared paper)Han Ting Ding (1 shared paper)Bin Luo (7 shared papers)Guangzhi Ning (4 shared papers)
- Journals
- International journal of agricultural and biological engineering (2 papers)Advanced Science (2 papers)Journal of Orthopaedic Translation (2 papers)eLife (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dayu Pan
30 papers receiving 810 citations
Peers
Comparison fields: 5 of 111
- Pathology and Forensic Medicine 299
- Developmental Neuroscience 31
- Rehabilitation 38
- Cancer Research 77
- Cellular and Molecular Neuroscience 86
Countries citing papers authored by Dayu Pan
This map shows the geographic impact of Dayu Pan'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 Dayu Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayu Pan more than expected).
Fields of papers citing papers by Dayu Pan
This network shows the impact of papers produced by Dayu Pan. 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 Dayu Pan. The network helps show where Dayu Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dayu Pan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 201 | |
| 2 | 2022 | 69 | |
| 3 | 2019 | 59 | |
| 4 | 2018 | 56 | |
| 5 | 2021 | 54 | |
| 6 | 2021 | 50 | |
| 7 | 2021 | 43 | |
| 8 | 2022 | 41 | |
| 9 | 2020 | 31 | |
| 10 | 2021 | 27 | |
| 11 | 2022 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2021 | 18 | |
| 14 | 2024 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2022 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2010 | 8 |
About Dayu Pan
Dayu Pan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Plant Science, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 816 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (5 papers), Soybean genetics and cultivation (4 papers), Circular RNAs in diseases (4 papers), Extracellular vesicles in disease (4 papers), Spinal Cord Injury Research (4 papers), Nerve injury and regeneration (3 papers), Pregnancy-related medical research (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (299 citations), Developmental Neuroscience (31 citations), Rehabilitation (38 citations), Cancer Research (77 citations) and Cellular and Molecular Neuroscience (86 citations). Dayu Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shiqing Feng, Hengxing Zhou, Yi Kang, Lu Liu, Zhijian Wei, Han Ting Ding, Bin Luo, Guangzhi Ning, Shibo Zhu and Fuhan Yang. Their work appears in journals such as International journal of agricultural and biological engineering, Advanced Science, Journal of Orthopaedic Translation, eLife and Oxidative Medicine and Cellular Longevity.
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.