Yun Bi
Impact in
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- Natural Compounds in Disease Treatment
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Atmospheric Ozone and Climate 6
- Atmospheric chemistry and aerosols 5
- Meteorological Phenomena and Simulations 4
- Co-authors
- Xianjun Yu (9 shared papers)Jing Zhong (8 shared papers)Qun Zhao (9 shared papers)Yingxiang Liu (7 shared papers)Yan Tan (8 shared papers)Jian Guo (8 shared papers)Yongqiang Liu (4 shared papers)Xiaoxian Guo (1 shared paper)
- Journals
- Advances in Atmospheric Sciences (5 papers)Phytomedicine (3 papers)Acta Pharmacologica Sinica (2 papers)Cancer Letters (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaRussiaUnited States
In The Last Decade
Yun Bi
29 papers receiving 550 citations
Peers
Comparison fields: 5 of 85
- Complementary and alternative medicine 64
- Cancer Research 82
- Toxicology 18
- Molecular Biology 253
- Electronic, Optical and Magnetic Materials 52
Countries citing papers authored by Yun Bi
This map shows the geographic impact of Yun Bi'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 Yun Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Bi more than expected).
Fields of papers citing papers by Yun Bi
This network shows the impact of papers produced by Yun Bi. 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 Yun Bi. The network helps show where Yun Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun Bi, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2019 | 78 | |
| 3 | 2018 | 78 | |
| 4 | 2020 | 41 | |
| 5 | 2019 | 39 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 22 | |
| 9 | 2020 | 19 | |
| 10 | 2008 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2013 | 11 | |
| 16 | 2006 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 2018 | 4 |
About Yun Bi
Yun Bi is a scholar working on Atmospheric Science, Molecular Biology, Global and Planetary Change, Complementary and alternative medicine and Pathology and Forensic Medicine, having authored 30 papers that have together received 555 indexed citations. Recurring topics across this work include Atmospheric Ozone and Climate (6 papers), Natural Compounds in Disease Treatment (6 papers), Atmospheric chemistry and aerosols (5 papers), Climate variability and models (4 papers), Meteorological Phenomena and Simulations (4 papers), Cancer Mechanisms and Therapy (3 papers), Atmospheric and Environmental Gas Dynamics (3 papers) and Robotic Mechanisms and Dynamics (2 papers). The work is most often cited by research in Complementary and alternative medicine (64 citations), Cancer Research (82 citations), Toxicology (18 citations), Molecular Biology (253 citations) and Electronic, Optical and Magnetic Materials (52 citations). Yun Bi has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Xianjun Yu, Jing Zhong, Qun Zhao, Yingxiang Liu, Yan Tan, Jian Guo, Yongqiang Liu, Xiaoxian Guo, Junqiang Wang and Mengting Yu. Their work appears in journals such as Advances in Atmospheric Sciences, Phytomedicine, Acta Pharmacologica Sinica, Cancer Letters 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.