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 3
- Extracellular vesicles in disease 3
- Bone Metabolism and Diseases 3
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- Spine and Intervertebral Disc Pathology 5
- Spinal Cord Injury Research 3
- Co-authors
- Shiqing Feng (9 shared papers)Hengxing Zhou (3 shared papers)Zhijian Wei (1 shared paper)Yi Kang (1 shared paper)Han Ting Ding (1 shared paper)Lu Liu (1 shared paper)Bin Luo (7 shared papers)Shibo Zhu (4 shared papers)
- Journals
- Journal of Orthopaedic Translation (2 papers)Advanced Science (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)eLife (2 papers)International journal of agricultural and biological engineering (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dayu Pan
29 papers receiving 870 citations
Peers
Comparison fields: 5 of 110
- Pathology and Forensic Medicine 276
- Developmental Neuroscience 29
- Cellular and Molecular Neuroscience 87
- Cancer Research 63
- Rehabilitation 25
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 216 | |
| 2 | 2022 | 78 | |
| 3 | 2019 | 62 | |
| 4 | 2021 | 58 | |
| 5 | 2018 | 57 | |
| 6 | 2021 | 51 | |
| 7 | 2021 | 48 | |
| 8 | 2022 | 42 | |
| 9 | 2020 | 31 | |
| 10 | 2021 | 31 | |
| 11 | 2022 | 25 | |
| 12 | 2019 | 22 | |
| 13 | 2021 | 19 | |
| 14 | 2024 | 18 | |
| 15 | 2024 | 16 | |
| 16 | 2018 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2024 | 10 |
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 Biomedical Engineering, having authored 29 papers that have together received 877 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 (3 papers), Extracellular vesicles in disease (3 papers), Spinal Cord Injury Research (3 papers), Bone Metabolism and Diseases (3 papers), Pregnancy-related medical research (2 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (276 citations), Developmental Neuroscience (29 citations), Cellular and Molecular Neuroscience (87 citations), Cancer Research (63 citations) and Rehabilitation (25 citations). Dayu Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shiqing Feng, Hengxing Zhou, Zhijian Wei, Yi Kang, Han Ting Ding, Lu Liu, Bin Luo, Shibo Zhu, Fuhan Yang and Guangzhi Ning. Their work appears in journals such as Journal of Orthopaedic Translation, Advanced Science, Oxidative Medicine and Cellular Longevity, eLife and International journal of agricultural and biological engineering.
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.