Yanghui Bi
Impact in
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Liver physiology and pathology
Papers in
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- Cancer-related gene regulation 5
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 3
- Metabolism, Diabetes, and Cancer 2
- Oncology 5
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Caixia Cheng (8 shared papers)Xiao‐Jing Zhang (1 shared paper)Pengzhou Kong (7 shared papers)Xiaoxia Tian (1 shared paper)Yunxia Chen (1 shared paper)Yongping Cui (7 shared papers)Heyang Cui (7 shared papers)Xiaolong Cheng (5 shared papers)
- Journals
- Technology in Cancer Research & Treatment (2 papers)Theranostics (2 papers)Cancer Letters (1 paper)iScience (1 paper)Oncology Reports (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yanghui Bi
25 papers receiving 363 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 80
- Hepatology 24
- Oncology 67
- Molecular Biology 175
- Pharmacology 20
Countries citing papers authored by Yanghui Bi
This map shows the geographic impact of Yanghui 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 Yanghui Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanghui Bi more than expected).
Fields of papers citing papers by Yanghui Bi
This network shows the impact of papers produced by Yanghui 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 Yanghui Bi. The network helps show where Yanghui Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanghui 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 75 | |
| 2 | 2018 | 33 | |
| 3 | 2020 | 30 | |
| 4 | 2020 | 29 | |
| 5 | 2019 | 26 | |
| 6 | 2018 | 23 | |
| 7 | 2024 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2015 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2021 | 14 | |
| 12 | 2013 | 14 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 2 |
About Yanghui Bi
Yanghui Bi is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Cell Biology, having authored 26 papers that have together received 364 indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), RNA modifications and cancer (5 papers), Cellular Mechanics and Interactions (3 papers), Epigenetics and DNA Methylation (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Liver physiology and pathology (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cancer Research (80 citations), Hepatology (24 citations), Oncology (67 citations), Molecular Biology (175 citations) and Pharmacology (20 citations). Yanghui Bi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Caixia Cheng, Xiao‐Jing Zhang, Pengzhou Kong, Xiaoxia Tian, Yunxia Chen, Yongping Cui, Heyang Cui, Xiaolong Cheng, Guofang Hou and Xuewei Bai. Their work appears in journals such as Technology in Cancer Research & Treatment, Theranostics, Cancer Letters, iScience and Oncology Reports.
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.