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
- CRISPR and Genetic Engineering 8
- Epigenetics and DNA Methylation 7
- RNA Interference and Gene Delivery 6
-
- Plant Stress Responses and Tolerance 6
- Co-authors
- Yong Peng (4 shared papers)Wenchen Pu (3 shared papers)Jiao Li (3 shared papers)Jin Wang (1 shared paper)Zhaojiang Guo (16 shared papers)Youjun Zhang (16 shared papers)Le Guo (14 shared papers)Jianying Qin (10 shared papers)
- Journals
- Nature Communications (3 papers)FEBS Open Bio (2 papers)Scientific Reports (2 papers)Frontiers in Pharmacology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Sun
117 papers receiving 3.2k citations
Dan Sun's Hit Papers
Peers
Comparison fields: 5 of 134
- Cancer Research 812
- Insect Science 458
- Molecular Biology 2.0k
- Oncology 301
- Aging 21
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 130 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 | 542 |
| 2 | 2017 | 144 | |
| 3 | 2020 | 127 | |
| 4 | 2018 | 108 | |
| 5 | 2019 | 106 | |
| 6 | 2022 | 104 | |
| 7 | 2013 | 85 | |
| 8 | 2017 | 65 | |
| 9 | 2013 | 65 | |
| 10 | 2017 | 62 | |
| 11 | 2011 | 54 | |
| 12 | 2022 | 49 | |
| 13 | 2022 | 46 | |
| 14 | 2019 | 45 | |
| 15 | 2008 | 45 | |
| 16 | 2017 | 45 | |
| 17 | 2018 | 42 | |
| 18 | 2019 | 42 | |
| 19 | 2022 | 40 | |
| 20 | 2022 | 39 |
About Dan Sun
Dan Sun is a scholar working on Molecular Biology, Plant Science, Oncology, Cancer Research and Insect Science, having authored 130 papers that have together received 3.3k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (17 papers), CRISPR and Genetic Engineering (8 papers), Insect and Pesticide Research (7 papers), Epigenetics and DNA Methylation (7 papers), Autophagy in Disease and Therapy (7 papers), RNA Interference and Gene Delivery (6 papers), MicroRNA in disease regulation (6 papers) and Plant Stress Responses and Tolerance (6 papers). The work is most often cited by research in Cancer Research (812 citations), Insect Science (458 citations), Molecular Biology (2.0k citations), Oncology (301 citations) and Aging (21 citations). Dan Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Peng, Wenchen Pu, Jiao Li, Jin Wang, Zhaojiang Guo, Youjun Zhang, Le Guo, Jianying Qin, Yong Liu and Liuhong Zhu. Their work appears in journals such as Nature Communications, FEBS Open Bio, Scientific Reports, Frontiers in Pharmacology and Biochemical and Biophysical Research Communications.
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.