Yu Dai
Impact in
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- Hepatitis C virus research
Papers in
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- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 4
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- RNA modifications and cancer 4
- Co-authors
- Liangan Chen (9 shared papers)Qiang Zhu (4 shared papers)Zhen Yang (4 shared papers)Zhen Wu (3 shared papers)Zhixin Liang (3 shared papers)Zhen Wu (4 shared papers)Wei Zhao (4 shared papers)Chunsun Li (2 shared papers)
- Journals
- Cancer Management and Research (2 papers)Virology Journal (1 paper)Science Advances (1 paper)Cancer Medicine (1 paper)OncoTargets and Therapy (1 paper)
- Partner nations
- ChinaSouth KoreaMexico
In The Last Decade
Yu Dai
16 papers receiving 282 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Cancer Research 114
- Hepatology 36
- Pulmonary and Respiratory Medicine 89
- Oncology 54
- Pathology and Forensic Medicine 34
Countries citing papers authored by Yu Dai
This map shows the geographic impact of Yu Dai'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 Yu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Dai more than expected).
Fields of papers citing papers by Yu Dai
This network shows the impact of papers produced by Yu Dai. 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 Yu Dai. The network helps show where Yu Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Dai, 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 | 2019 | 51 | |
| 2 | Integrating hydrogels manipulate ECM deposition after spinal cord injury for specific neural reconnections via neuronal relays Hit paper breakdown → | 2024 | 43 |
| 3 | 2019 | 43 | |
| 4 | 2017 | 34 | |
| 5 | 2020 | 17 | |
| 6 | 2016 | 16 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2014 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2015 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Yu Dai
Yu Dai is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Hepatology, having authored 18 papers that have together received 286 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), RNA modifications and cancer (4 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), interferon and immune responses (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (114 citations), Hepatology (36 citations), Pulmonary and Respiratory Medicine (89 citations), Oncology (54 citations) and Pathology and Forensic Medicine (34 citations). Yu Dai has collaborated with scholars based in China, South Korea and Mexico. Frequent co-authors include Liangan Chen, Qiang Zhu, Zhen Yang, Zhen Wu, Zhixin Liang, Zhen Wu, Wei Zhao, Chunsun Li, Yulin Li and Zhenhua Zhang. Their work appears in journals such as Cancer Management and Research, Virology Journal, Science Advances, Cancer Medicine and OncoTargets and Therapy.
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.