Dan Yu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
- Inflammasome and immune disorders
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 6
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 3
- RNA regulation and disease 3
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Qiang Wang (1 shared paper)Junqi Li (1 shared paper)Guoshuai Yang (7 shared papers)Yanmin Song (2 shared papers)Guohu Weng (2 shared papers)Suyue Pan (2 shared papers)Xiaoyan Zhou (2 shared papers)Tao Lu (2 shared papers)
- Journals
- Oncotarget (4 papers)BMC Pediatrics (2 papers)OncoTargets and Therapy (2 papers)Journal of Biological Chemistry (2 papers)Neuroreport (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Dan Yu
50 papers receiving 931 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 305
- Molecular Biology 573
- Neurology 53
- Developmental Neuroscience 24
- Clinical Biochemistry 25
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2015 | 97 | |
| 3 | 2022 | 89 | |
| 4 | 2021 | 51 | |
| 5 | 2016 | 45 | |
| 6 | 2018 | 34 | |
| 7 | 2022 | 33 | |
| 8 | 2012 | 32 | |
| 9 | 2022 | 29 | |
| 10 | 2012 | 28 | |
| 11 | 2020 | 27 | |
| 12 | 2021 | 24 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2016 | 13 |
About Dan Yu
Dan Yu is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Neurology and Organic Chemistry, having authored 51 papers that have together received 937 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cancer Research (305 citations), Molecular Biology (573 citations), Neurology (53 citations), Developmental Neuroscience (24 citations) and Clinical Biochemistry (25 citations). Dan Yu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Qiang Wang, Junqi Li, Guoshuai Yang, Yanmin Song, Guohu Weng, Suyue Pan, Xiaoyan Zhou, Tao Lu, Zhihai Wang and Min Pan. Their work appears in journals such as Oncotarget, BMC Pediatrics, OncoTargets and Therapy, Journal of Biological Chemistry and Neuroreport.
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.