Bing-Yi Chen
Impact in
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- Advanced Topics in Algebra
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- Acute Myeloid Leukemia Research
Papers in
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- Acute Myeloid Leukemia Research 9
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- Algebraic Geometry and Number Theory 5
- Co-authors
- Huaiqing Zuo (5 shared papers)Stephen S.‐T. Yau (5 shared papers)Xianhua Wei (2 shared papers)Xinrong Zhang (1 shared paper)Chengyan Lin (2 shared papers)Xianguo Zhang (1 shared paper)Senyou An (1 shared paper)Yang Wang (1 shared paper)
- Journals
- Blood (3 papers)Stem Cell Research & Therapy (3 papers)Cancer Discovery (2 papers)Journal of Differential Geometry (2 papers)Advances in Theoretical and Mathematical Physics (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Bing-Yi Chen
43 papers receiving 532 citations
Peers
Comparison fields: 5 of 79
- Algebra and Number Theory 25
- Hematology 53
- Geometry and Topology 40
- Internal Medicine 9
- Mechanics of Materials 62
Countries citing papers authored by Bing-Yi Chen
This map shows the geographic impact of Bing-Yi Chen'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 Bing-Yi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing-Yi Chen more than expected).
Fields of papers citing papers by Bing-Yi Chen
This network shows the impact of papers produced by Bing-Yi Chen. 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 Bing-Yi Chen. The network helps show where Bing-Yi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing-Yi Chen, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 65 | |
| 2 | 2017 | 40 | |
| 3 | 2020 | 38 | |
| 4 | 2017 | 32 | |
| 5 | 2022 | 30 | |
| 6 | Clinical relationship between MDR1 gene and gallbladder cancer. | 2004 | 28 |
| 7 | 2022 | 26 | |
| 8 | 2021 | 20 | |
| 9 | 2017 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2023 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2022 | 11 |
About Bing-Yi Chen
Bing-Yi Chen is a scholar working on Hematology, Geometry and Topology, Molecular Biology, Algebra and Number Theory and Materials Chemistry, having authored 48 papers that have together received 547 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Algebraic Geometry and Number Theory (5 papers), Extracellular vesicles in disease (4 papers), Polymer-Based Agricultural Enhancements (2 papers), Ferroelectric and Piezoelectric Materials (2 papers), Black Holes and Theoretical Physics (2 papers), Magnetic Properties and Synthesis of Ferrites (2 papers) and Geomagnetism and Paleomagnetism Studies (1 paper). The work is most often cited by research in Algebra and Number Theory (25 citations), Hematology (53 citations), Geometry and Topology (40 citations), Internal Medicine (9 citations) and Mechanics of Materials (62 citations). Bing-Yi Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Huaiqing Zuo, Stephen S.‐T. Yau, Xianhua Wei, Xinrong Zhang, Chengyan Lin, Xianguo Zhang, Senyou An, Yang Wang, Weichao Yan and Yimin Zhang. Their work appears in journals such as Blood, Stem Cell Research & Therapy, Cancer Discovery, Journal of Differential Geometry and Advances in Theoretical and Mathematical Physics.
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.