Beina Hui
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Colorectal Cancer Surgical Treatments
Papers in
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- RNA modifications and cancer 5
- Circular RNAs in diseases 3
- Phytochemical compounds biological activities 2
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Hailin Ma (8 shared papers)Juan Ren (11 shared papers)Xiaozhi Zhang (15 shared papers)Shaomin Che (7 shared papers)Yanli Yan (5 shared papers)Li Tee Tan (2 shared papers)Rui Liu (2 shared papers)Wang Ji (1 shared paper)
- Journals
- BMC Cancer (2 papers)Biomedicine & Pharmacotherapy (2 papers)Oncology Reports (2 papers)JACC CardioOncology (1 paper)Toxicology in Vitro (1 paper)
- Partner nations
- China
In The Last Decade
Beina Hui
29 papers receiving 793 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 187
- Oncology 203
- Obstetrics and Gynecology 44
- Molecular Medicine 27
- Biomaterials 66
Countries citing papers authored by Beina Hui
This map shows the geographic impact of Beina Hui'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 Beina Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beina Hui more than expected).
Fields of papers citing papers by Beina Hui
This network shows the impact of papers produced by Beina Hui. 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 Beina Hui. The network helps show where Beina Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Beina Hui, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 166 | |
| 2 | 2019 | 103 | |
| 3 | 2020 | 63 | |
| 4 | 2014 | 43 | |
| 5 | 2016 | 33 | |
| 6 | 2017 | 32 | |
| 7 | 2019 | 31 | |
| 8 | 2017 | 29 | |
| 9 | 2023 | 28 | |
| 10 | 2021 | 28 | |
| 11 | 2020 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2018 | 21 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2015 | 19 | |
| 18 | 2015 | 18 | |
| 19 | 2021 | 14 | |
| 20 | 2015 | 13 |
About Beina Hui
Beina Hui is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 31 papers that have together received 799 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), RNA modifications and cancer (5 papers), Ferroptosis and cancer prognosis (3 papers), Circular RNAs in diseases (3 papers), Phytochemical compounds biological activities (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (187 citations), Oncology (203 citations), Obstetrics and Gynecology (44 citations), Molecular Medicine (27 citations) and Biomaterials (66 citations). Beina Hui has collaborated with scholars based in China. Frequent co-authors include Hailin Ma, Juan Ren, Xiaozhi Zhang, Shaomin Che, Yanli Yan, Li Tee Tan, Rui Liu, Wang Ji, Xiaoli Wang and Xiaozhi Zhang. Their work appears in journals such as BMC Cancer, Biomedicine & Pharmacotherapy, Oncology Reports, JACC CardioOncology and Toxicology in Vitro.
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.