Binbin Shi
Impact in
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
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- Cancer-related molecular mechanisms research
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
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- Ultrasound in Clinical Applications 1
- Co-authors
- Zhi John Lu (6 shared papers)Zhiyu Xu (2 shared papers)Yucheng Yang (2 shared papers)Pengyuan Wang (1 shared paper)Daoxin Xie (1 shared paper)Yumin Zhu (1 shared paper)Gang Xu (1 shared paper)Zhehan Chen (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Molecular Plant (1 paper)Ultrasound in Medicine & Biology (1 paper)Cancer Medicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Binbin Shi
17 papers receiving 453 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 246
- Cancer Research 49
- Critical Care and Intensive Care Medicine 8
- Genetics 46
- Health Informatics 3
Countries citing papers authored by Binbin Shi
This map shows the geographic impact of Binbin 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 Binbin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Shi more than expected).
Fields of papers citing papers by Binbin Shi
This network shows the impact of papers produced by Binbin 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 Binbin Shi. The network helps show where Binbin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2015 | 66 | |
| 3 | 2014 | 54 | |
| 4 | 2018 | 40 | |
| 5 | 2017 | 33 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2020 | 10 | |
| 14 | [Effect of bicyclol tablets on cellular immune responses in patients with chronic hepatitis B]. | 2005 | 2 |
| 15 | Clinical observation on electroacupuncture treatment of 30 cases of chronic hepatitis B. | 2007 | 2 |
| 16 | 2009 | 1 | |
| 17 | 2018 | 1 |
About Binbin Shi
Binbin Shi is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine, Complementary and alternative medicine, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 17 papers that have together received 456 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), AI in cancer detection (2 papers), Genetic and Environmental Crop Studies (1 paper), Plant Molecular Biology Research (1 paper), Ultrasound in Clinical Applications (1 paper), Hepatitis B Virus Studies (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Molecular Biology (246 citations), Cancer Research (49 citations), Critical Care and Intensive Care Medicine (8 citations), Genetics (46 citations) and Health Informatics (3 citations). Binbin Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhi John Lu, Zhiyu Xu, Yucheng Yang, Pengyuan Wang, Daoxin Xie, Yumin Zhu, Gang Xu, Zhehan Chen, Dong Wang and Zan Wang. Their work appears in journals such as Nucleic Acids Research, Molecular Plant, Ultrasound in Medicine & Biology, Cancer Medicine and PLoS ONE.
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.