Bin Chen
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 18
- Cancer Genomics and Diagnostics 12
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 10
- RNA modifications and cancer 9
- Biomedical Text Mining and Ontologies 6
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 8
- Health Informatics top 10%
- Molecular Medicine top 10%
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- Computational Drug Discovery Methods 7
- Co-authors
- Marina SirotaAtul J. ButteMei‐Sze ChuaBenjamin S. GlicksbergBilly ZengDavid W. WrightTanja PopovićL. McGuire
- Journals
- Nature Communications (4 papers)OncoTargets and Therapy (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bin Chen
132 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 141
- Cancer Research 578
- Molecular Biology 1.6k
- Oncology 489
- Health Informatics 20
- Molecular Medicine 72
Countries citing papers authored by Bin Chen
This map shows the geographic impact of Bin 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 Bin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Chen more than expected).
Fields of papers citing papers by Bin Chen
This network shows the impact of papers produced by Bin 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 Bin Chen. The network helps show where Bin Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 34 | |
| 12 | MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge | 2021 | 2 |
| 13 | 2020 | 2 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 102 | |
| 16 | 2019 | 77 | |
| 17 | 2019 | 101 | |
| 18 | 2016 | 37 | |
| 19 | 2014 | 1 | |
| 20 | 2011 | 93 |
About Bin Chen
Bin Chen is a scholar working on Cancer Research, Molecular Biology, Oncology, Neurology and Epidemiology, having authored 137 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (18 papers), Bioinformatics and Genomic Networks (15 papers), Cancer Genomics and Diagnostics (12 papers), Gene expression and cancer classification (10 papers), RNA modifications and cancer (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Computational Drug Discovery Methods (7 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Cancer Research (578 citations), Molecular Biology (1.6k citations), Oncology (489 citations), Health Informatics (20 citations) and Molecular Medicine (72 citations). Bin Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Marina Sirota, Atul J. Butte, Mei‐Sze Chua, Benjamin S. Glicksberg, Billy Zeng, David W. Wright, Tanja Popović, L. McGuire, Arthur L. Kellermann and Harikrishna Paik. Their work appears in journals such as Nature Communications, OncoTargets and Therapy, International Journal of Molecular Sciences, Scientific Reports and Cancer Letters.
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.