Yun Yu
- Co-authors
- Luay NakhlehJ. H. DegnanAihua FeiLin LiBin YuShanshan WangMing RuanHaibo Cheng
- Topics
- RNA modifications and cancer (5 papers)Cancer, Hypoxia, and Metabolism (5 papers)Functional Brain Connectivity Studies (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yun Yu
91 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 682
- Cancer Research 263
- Oncology 161
- Pulmonary and Respiratory Medicine 154
- Genetics 152
Countries citing papers authored by Yun Yu
This map shows the geographic impact of Yun 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 Yun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Yu more than expected).
Fields of papers citing papers by Yun Yu
This network shows the impact of papers produced by Yun 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 Yun Yu. The network helps show where Yun Yu may publish in the future.
Co-authorship network of co-authors of Yun Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Yu. A scholar is included among the top collaborators of Yun Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yun Yu. Yun Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 28 | |
| 11 | 11 | |
| 12 | 28 | |
| 13 | 62 | |
| 14 | Modifications of Sunitinib-Loaded GB-102 Microparticles that Lengthen Drug Release: 9-Months Ocular Tolerability and PK in Rabbit Following IVT Dosing | 2 |
| 15 | Free prostate specific antigen density predicts prostate cancer with high accuracy | 1 |
| 16 | GB-102 for Wet AMD: A Novel Injectable Formulation that Safely Delivers Active Levels of Sunitinib to the Retina and RPE/Choroid for Over Four Months | 8 |
| 17 | 19 | |
| 18 | 31 | |
| 19 | 32 | |
| 20 | Effect of borneol and electroacupuncture on the distribution of hyperforin in the rat brain | 5 |
About Yun Yu
Yun Yu is a scholar working on Transplantation, Cancer Research and Pulmonary and Respiratory Medicine, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Cancer Research (263 citations), Molecular Biology (682 citations) and Complementary and alternative medicine (67 citations). Yun Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Luay Nakhleh, J. H. Degnan, Aihua Fei, Lin Li, Bin Yu, Shanshan Wang, Ming Ruan, Haibo Cheng, Xiao‐Ping Dong and Weiwei Cai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.