Beibei Su
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Plant Gene Expression Analysis
- Gut microbiota and health
- Plant biochemistry and biosynthesis
- RNA modifications and cancer
Papers in
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- Plant Gene Expression Analysis 4
- Circular RNAs in diseases 3
- Plant biochemistry and biosynthesis 3
- Plant Reproductive Biology 2
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Xianglin Yuan (4 shared papers)Yu Jin (3 shared papers)Han Yin (3 shared papers)Shuwei Zhou (5 shared papers)Bili Wu (2 shared papers)Xiaoning Zhang (2 shared papers)Hu Han (2 shared papers)Lu Wang (1 shared paper)
- Journals
- Scientia Horticulturae (2 papers)Head & Neck (2 papers)Aging (1 paper)Journal of Surgical Research (1 paper)Medical Oncology (1 paper)
- Partner nations
- China
In The Last Decade
Beibei Su
21 papers receiving 482 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 146
- Molecular Biology 329
- Oncology 119
- Biochemistry 26
- Immunology 64
Countries citing papers authored by Beibei Su
This map shows the geographic impact of Beibei Su'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 Beibei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Su more than expected).
Fields of papers citing papers by Beibei Su
This network shows the impact of papers produced by Beibei Su. 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 Beibei Su. The network helps show where Beibei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Su, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 110 | |
| 2 | 2022 | 80 | |
| 3 | 2020 | 39 | |
| 4 | 2016 | 34 | |
| 5 | 2019 | 34 | |
| 6 | 2016 | 32 | |
| 7 | 2014 | 30 | |
| 8 | 2022 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2022 | 16 | |
| 11 | 2018 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Beibei Su
Beibei Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Plant Science, having authored 26 papers that have together received 487 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Plant Gene Expression Analysis (4 papers), Circular RNAs in diseases (3 papers), Plant biochemistry and biosynthesis (3 papers), Plant Molecular Biology Research (2 papers), HER2/EGFR in Cancer Research (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Cancer Research (146 citations), Molecular Biology (329 citations), Oncology (119 citations), Biochemistry (26 citations) and Immunology (64 citations). Beibei Su has collaborated with scholars based in China. Frequent co-authors include Xianglin Yuan, Yu Jin, Han Yin, Shuwei Zhou, Bili Wu, Xiaoning Zhang, Hu Han, Lu Wang, Yali Liu and Hongli Liu. Their work appears in journals such as Scientia Horticulturae, Head & Neck, Aging, Journal of Surgical Research and Medical Oncology.
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.