Cong Shen
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 6
- Machine Learning in Bioinformatics 3
- Single-cell and spatial transcriptomics 2
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- Computational Drug Discovery Methods 11
- Co-authors
- Jiawei Luo (15 shared papers)Xinru Tang (1 shared paper)Pingjian Ding (11 shared papers)Kelin Xia (5 shared papers)M. M. Khonsari (2 shared papers)JunJie Wee (2 shared papers)Xiangtao Chen (3 shared papers)Yahui Long (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Briefings in Bioinformatics (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)iScience (1 paper)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Cong Shen
25 papers receiving 371 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 128
- Computational Theory and Mathematics 97
- Computational Mathematics 2
- Molecular Biology 223
- Mechanics of Materials 27
Countries citing papers authored by Cong Shen
This map shows the geographic impact of Cong Shen'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 Cong Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Shen more than expected).
Fields of papers citing papers by Cong Shen
This network shows the impact of papers produced by Cong Shen. 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 Cong Shen. The network helps show where Cong Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Shen, 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 | 2021 | 123 | |
| 2 | 2023 | 30 | |
| 3 | 2016 | 20 | |
| 4 | 2020 | 19 | |
| 5 | 2019 | 19 | |
| 6 | 2023 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 3 |
About Cong Shen
Cong Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Materials Chemistry and Pharmacology, having authored 26 papers that have together received 375 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), MicroRNA in disease regulation (7 papers), Bioinformatics and Genomic Networks (6 papers), Cancer-related molecular mechanisms research (4 papers), Machine Learning in Bioinformatics (3 papers), Machine Learning in Materials Science (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (128 citations), Computational Theory and Mathematics (97 citations), Computational Mathematics (2 citations), Molecular Biology (223 citations) and Mechanics of Materials (27 citations). Cong Shen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jiawei Luo, Xinru Tang, Pingjian Ding, Kelin Xia, M. M. Khonsari, JunJie Wee, Xiangtao Chen, Yahui Long, Jie Cai and Ying Liu. Their work appears in journals such as Journal of Chemical Information and Modeling, Briefings in Bioinformatics, IEEE Journal of Biomedical and Health Informatics, iScience and Artificial Intelligence in Medicine.
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.