Dan Sun
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Insect Science top 1%
- Insect and Pesticide Research
Papers in ⓘ
-
- Insect Resistance and Genetics 17
- Epigenetics and DNA Methylation 11
- CRISPR and Genetic Engineering 8
- RNA modifications and cancer 7
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- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 9
- Co-authors
- Yong Peng (4 shared papers)Jiao Li (3 shared papers)Wenchen Pu (3 shared papers)Jin Wang (1 shared paper)Youjun Zhang (16 shared papers)Zhaojiang Guo (16 shared papers)Le Guo (14 shared papers)Jianying Qin (10 shared papers)
- Journals
- Nature Communications (3 papers)Scientific Reports (2 papers)Cell Reports (2 papers)Journal of drug targeting (2 papers)Cellular Signalling (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Sun
113 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 974
- Insect Science 455
- Molecular Biology 2.1k
- Clinical Biochemistry 88
- Oncology 329
Countries citing papers authored by Dan Sun
This map shows the geographic impact of Dan Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Sun more than expected).
Fields of papers citing papers by Dan Sun
This network shows the impact of papers produced by Dan Sun. 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 Sun. The network helps show where Dan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Sun, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Circular RNAs in Cancer: Biogenesis, Function, and Clinical Significance Hit paper breakdown → | 2020 | 525 |
| 2 | 2017 | 124 | |
| 3 | 2020 | 118 | |
| 4 | 2018 | 106 | |
| 5 | 2019 | 98 | |
| 6 | 2022 | 91 | |
| 7 | 2013 | 80 | |
| 8 | 2013 | 62 | |
| 9 | 2017 | 62 | |
| 10 | 2017 | 60 | |
| 11 | 2011 | 51 | |
| 12 | 2017 | 45 | |
| 13 | 2022 | 44 | |
| 14 | 2008 | 44 | |
| 15 | 2018 | 42 | |
| 16 | 2019 | 41 | |
| 17 | 2019 | 41 | |
| 18 | 2022 | 38 | |
| 19 | 2016 | 38 | |
| 20 | 2022 | 37 |
About Dan Sun
Dan Sun is a scholar working on Molecular Biology, Cancer Research, Oncology, Plant Science and Epidemiology, having authored 126 papers that have together received 3.1k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (17 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (9 papers), CRISPR and Genetic Engineering (8 papers), Autophagy in Disease and Therapy (8 papers), Insect and Pesticide Research (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (974 citations), Insect Science (455 citations), Molecular Biology (2.1k citations), Clinical Biochemistry (88 citations) and Oncology (329 citations). Dan Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Peng, Jiao Li, Wenchen Pu, Jin Wang, Youjun Zhang, Zhaojiang Guo, Le Guo, Jianying Qin, Liuhong Zhu and Yong Liu. Their work appears in journals such as Nature Communications, Scientific Reports, Cell Reports, Journal of drug targeting and Cellular Signalling.
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.