Danni Shi
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 5%
- Ovarian function and disorders
Papers in
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- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 5
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- Circular RNAs in diseases 4
- Co-authors
- Meilin Wang (16 shared papers)Haiyan Chu (15 shared papers)Donna F. Vine (4 shared papers)Na Tong (13 shared papers)Zhengdong Zhang (10 shared papers)Lan Ma (10 shared papers)Dongyan Zhong (9 shared papers)Changjun Yin (8 shared papers)
- Journals
- PLoS ONE (3 papers)Chemical Science (2 papers)BMC Cardiovascular Disorders (1 paper)Cancer Letters (1 paper)Fertility and Sterility (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Danni Shi
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 447
- Reproductive Medicine 118
- Molecular Biology 497
- Public Health, Environmental and Occupational Health 88
- Physiology 65
Countries citing papers authored by Danni Shi
This map shows the geographic impact of Danni Shi'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 Danni Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Shi more than expected).
Fields of papers citing papers by Danni Shi
This network shows the impact of papers produced by Danni Shi. 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 Danni Shi. The network helps show where Danni Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni Shi, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 125 | |
| 2 | 2012 | 111 | |
| 3 | 2015 | 101 | |
| 4 | 2012 | 73 | |
| 5 | 2011 | 63 | |
| 6 | 2014 | 55 | |
| 7 | 2011 | 55 | |
| 8 | 2009 | 46 | |
| 9 | 2011 | 45 | |
| 10 | 2013 | 44 | |
| 11 | 2012 | 38 | |
| 12 | 2013 | 35 | |
| 13 | 2012 | 34 | |
| 14 | 2013 | 34 | |
| 15 | 2018 | 30 | |
| 16 | 2007 | 29 | |
| 17 | 2022 | 29 | |
| 18 | 2012 | 28 | |
| 19 | 2014 | 27 | |
| 20 | 2011 | 22 |
About Danni Shi
Danni Shi is a scholar working on Cancer Research, Molecular Biology, Catalysis, Reproductive Medicine and Renewable Energy, Sustainability and the Environment, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), Ovarian function and disorders (3 papers), CO2 Reduction Techniques and Catalysts (3 papers), Ionic liquids properties and applications (3 papers), Orthodontics and Dentofacial Orthopedics (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cancer Research (447 citations), Reproductive Medicine (118 citations), Molecular Biology (497 citations), Public Health, Environmental and Occupational Health (88 citations) and Physiology (65 citations). Danni Shi has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Meilin Wang, Haiyan Chu, Donna F. Vine, Na Tong, Zhengdong Zhang, Lan Ma, Dongyan Zhong, Changjun Yin, Chao Qin and Mulong Du. Their work appears in journals such as PLoS ONE, Chemical Science, BMC Cardiovascular Disorders, Cancer Letters and Fertility and Sterility.
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.