Dan Yu
Impact in
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- 3D Printing in Biomedical Research 5
- Microfluidic and Bio-sensing Technologies 4
- Advanced Sensor and Energy Harvesting Materials 3
-
- Electrospun Nanofibers in Biomedical Applications 4
- Co-authors
- Haibo Di (3 shared papers)Steven Laureys (3 shared papers)Ziye Dong (5 shared papers)Wei Li (6 shared papers)Zhenya Ding (6 shared papers)Pengmin Qin (1 shared paper)Xuchu Weng (1 shared paper)Yong‐Bing Xiang (1 shared paper)
- Journals
- PLoS ONE (3 papers)Biomaterials Science (2 papers)BMC Neurology (2 papers)Journal of Instrumentation (2 papers)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Dan Yu
47 papers receiving 872 citations
Peers
Comparison fields: 5 of 126
- Molecular Medicine 41
- Biomaterials 106
- Emergency Medicine 50
- Rehabilitation 31
- Epidemiology 130
Countries citing papers authored by Dan Yu
This map shows the geographic impact of Dan Yu'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 Dan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yu more than expected).
Fields of papers citing papers by Dan Yu
This network shows the impact of papers produced by Dan Yu. 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 Dan Yu. The network helps show where Dan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yu, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 100 | |
| 2 | 2013 | 93 | |
| 3 | 2021 | 63 | |
| 4 | 2017 | 62 | |
| 5 | 2013 | 39 | |
| 6 | 2018 | 37 | |
| 7 | 2018 | 34 | |
| 8 | 2021 | 30 | |
| 9 | 2018 | 28 | |
| 10 | 2014 | 27 | |
| 11 | 2011 | 27 | |
| 12 | 2023 | 24 | |
| 13 | 2022 | 24 | |
| 14 | 2020 | 22 | |
| 15 | 2017 | 21 | |
| 16 | 2021 | 20 | |
| 17 | 2018 | 20 | |
| 18 | 2017 | 20 | |
| 19 | 2015 | 17 | |
| 20 | 2019 | 16 |
About Dan Yu
Dan Yu is a scholar working on Biomedical Engineering, Biomaterials, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 887 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Nerve injury and regeneration (3 papers), Aortic Disease and Treatment Approaches (3 papers), Polymer Surface Interaction Studies (3 papers) and Traumatic Brain Injury Research (3 papers). The work is most often cited by research in Molecular Medicine (41 citations), Biomaterials (106 citations), Emergency Medicine (50 citations), Rehabilitation (31 citations) and Epidemiology (130 citations). Dan Yu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Haibo Di, Steven Laureys, Ziye Dong, Wei Li, Zhenya Ding, Pengmin Qin, Xuchu Weng, Yong‐Bing Xiang, Xiao‐Ou Shu and Yixia Yin. Their work appears in journals such as PLoS ONE, Biomaterials Science, BMC Neurology, Journal of Instrumentation and Medicine.
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.