Bolin Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
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- Bioinformatics and Genomic Networks 27
- Gene expression and cancer classification 20
- Machine Learning in Bioinformatics 9
- Gene Regulatory Network Analysis 5
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- Computational Drug Discovery Methods 8
- Co-authors
- Xuequn Shang (14 shared papers)Fang‐Xiang Wu (15 shared papers)Jianxin Wang (6 shared papers)Min Li (5 shared papers)Weiwei Hui (2 shared papers)Qinghua Jiang (2 shared papers)Jiajie Peng (2 shared papers)Zhongyu Wei (1 shared paper)
In The Last Decade
Bolin Chen
52 papers receiving 606 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 171
- Molecular Biology 469
- Computational Theory and Mathematics 73
- Artificial Intelligence 78
- Health Information Management 9
Countries citing papers authored by Bolin Chen
This map shows the geographic impact of Bolin 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 Bolin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bolin Chen more than expected).
Fields of papers citing papers by Bolin Chen
This network shows the impact of papers produced by Bolin 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 Bolin Chen. The network helps show where Bolin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bolin 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 142 | |
| 2 | 2021 | 62 | |
| 3 | 2015 | 39 | |
| 4 | 2020 | 33 | |
| 5 | 2012 | 32 | |
| 6 | 2020 | 29 | |
| 7 | 2014 | 29 | |
| 8 | 2020 | 20 | |
| 9 | 2016 | 20 | |
| 10 | 2013 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2020 | 9 | |
| 17 | 2014 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2018 | 7 | |
| 20 | 2024 | 7 |
About Bolin Chen
Bolin Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Artificial Intelligence and Genetics, having authored 58 papers that have together received 613 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (27 papers), Gene expression and cancer classification (20 papers), Machine Learning in Bioinformatics (9 papers), Computational Drug Discovery Methods (8 papers), Gene Regulatory Network Analysis (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Marine Sponges and Natural Products (3 papers). The work is most often cited by research in Cancer Research (171 citations), Molecular Biology (469 citations), Computational Theory and Mathematics (73 citations), Artificial Intelligence (78 citations) and Health Information Management (9 citations). Bolin Chen has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Xuequn Shang, Fang‐Xiang Wu, Jianxin Wang, Min Li, Weiwei Hui, Qinghua Jiang, Jiajie Peng, Zhongyu Wei, Qianqian Li and Jianye Hao. Their work appears in journals such as Frontiers in Genetics, Frontiers in Cell and Developmental Biology, IEEE Transactions on NanoBioscience, Briefings in Bioinformatics and Journal of Manufacturing Systems.
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.