Duonan Yu
- Molecular Biology top 1%
- Cancer Research top 0.5%
- Oncology top 5%
- Epidemiology top 5%
- Immunology top 5%
- Co-authors
- Andrei Thomas‐TikhonenkoErik A. WentzelJoshua T. MendellChi V. DangMichael DewsTsung-Cheng ChangDan E. ArkingYun‐Sil Lee
- Topics
- MicroRNA in disease regulation (25 papers)Cancer-related molecular mechanisms research (17 papers)Immune Cell Function and Interaction (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Genetics
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Duonan Yu
78 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 4.1k
- Cancer Research 2.4k
- Oncology 897
- Epidemiology 873
- Immunology 645
Countries citing papers authored by Duonan Yu
This map shows the geographic impact of Duonan 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 Duonan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duonan Yu more than expected).
Fields of papers citing papers by Duonan Yu
This network shows the impact of papers produced by Duonan 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 Duonan Yu. The network helps show where Duonan Yu may publish in the future.
Co-authorship network of co-authors of Duonan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Duonan Yu. A scholar is included among the top collaborators of Duonan 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 Duonan Yu. Duonan 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 23 | |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 0 | |
| 10 | 189 | |
| 11 | 250 | |
| 12 | Autophagy inhibition enhances therapy-induced apoptosis in a Myc-induced model of lymphomabreakdown → | 936 |
| 13 | 7 | |
| 14 | 195 | |
| 15 | Augmentation of tumor angiogenesis by a Myc-activated microRNA clusterbreakdown → | 851 |
| 16 | 99 | |
| 17 | 36 | |
| 18 | 91 | |
| 19 | 69 | |
| 20 | 9 |
About Duonan Yu
Duonan Yu is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 87 papers that have together received 5.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (25 papers), Cancer-related molecular mechanisms research (17 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (4.1k citations) and Physiology (172 citations). Duonan Yu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Andrei Thomas‐Tikhonenko, Erik A. Wentzel, Joshua T. Mendell, Chi V. Dang, Michael Dews, Tsung-Cheng Chang, Dan E. Arking, Yun‐Sil Lee, Ravi K. Amaravadi and Craig B. Thompson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Genetics.
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.