Biqing Chen
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Cancer-related molecular mechanisms research
Papers in
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- Visual perception and processing mechanisms 2
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- Cancer, Lipids, and Metabolism 2
- Co-authors
- Tianmin Xu (3 shared papers)Xiaomin Yuan (2 shared papers)Yingying Wang (3 shared papers)Fang Fang (4 shared papers)Yugen Chen (1 shared paper)Haidan Wang (1 shared paper)Minghao Liu (1 shared paper)Tuo Chen (1 shared paper)
- Journals
- European Journal of Human Genetics (2 papers)Scientific Reports (1 paper)Annals of Hematology (1 paper)Archives of Biochemistry and Biophysics (1 paper)Current Cancer Drug Targets (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Biqing Chen
23 papers receiving 316 citations
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 20
- Cancer Research 31
- Cognitive Neuroscience 41
- Cellular and Molecular Neuroscience 32
- Experimental and Cognitive Psychology 18
Countries citing papers authored by Biqing Chen
This map shows the geographic impact of Biqing 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 Biqing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biqing Chen more than expected).
Fields of papers citing papers by Biqing Chen
This network shows the impact of papers produced by Biqing 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 Biqing Chen. The network helps show where Biqing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Biqing 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2011 | 44 | |
| 3 | 2020 | 28 | |
| 4 | 2017 | 27 | |
| 5 | 2018 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2019 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2018 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2014 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2018 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Biqing Chen
Biqing Chen is a scholar working on Cognitive Neuroscience, Cancer Research, Waste Management and Disposal, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology, having authored 25 papers that have together received 322 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Bioinformatics and Genomic Networks (2 papers), Cancer, Lipids, and Metabolism (2 papers), Visual perception and processing mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers), COVID-19 epidemiological studies (1 paper), Cardiovascular Function and Risk Factors (1 paper) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Modeling and Simulation (20 citations), Cancer Research (31 citations), Cognitive Neuroscience (41 citations), Cellular and Molecular Neuroscience (32 citations) and Experimental and Cognitive Psychology (18 citations). Biqing Chen has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Tianmin Xu, Xiaomin Yuan, Yingying Wang, Fang Fang, Yugen Chen, Haidan Wang, Minghao Liu, Tuo Chen, Qiong Wang and Ping Zhu. Their work appears in journals such as European Journal of Human Genetics, Scientific Reports, Annals of Hematology, Archives of Biochemistry and Biophysics and Current Cancer Drug Targets.
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.