Shuting Jin
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
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- Bioinformatics and Genomic Networks 9
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 3
- Biomedical Text Mining and Ontologies 3
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- Computational Drug Discovery Methods 15
- Co-authors
- Xiangrong Liu (15 shared papers)Xiangxiang Zeng (11 shared papers)Juan Liu (1 shared paper)Jiawei Lin (1 shared paper)Feng Xia (1 shared paper)Wei Huang (1 shared paper)Likun Jiang (2 shared papers)Rao Fu (1 shared paper)
- Journals
- Briefings in Bioinformatics (5 papers)Molecules (2 papers)Patterns (2 papers)CrystEngComm (1 paper)BMC Biology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Shuting Jin
26 papers receiving 725 citations
Peers
Comparison fields: 5 of 104
- Computational Theory and Mathematics 357
- Molecular Biology 507
- Health Informatics 8
- Cancer Research 69
- Biophysics 18
Countries citing papers authored by Shuting Jin
This map shows the geographic impact of Shuting Jin'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 Shuting Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuting Jin more than expected).
Fields of papers citing papers by Shuting Jin
This network shows the impact of papers produced by Shuting Jin. 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 Shuting Jin. The network helps show where Shuting Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuting Jin, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 188 | |
| 2 | 2020 | 150 | |
| 3 | 2022 | 66 | |
| 4 | 2022 | 42 | |
| 5 | 2023 | 39 | |
| 6 | 2022 | 27 | |
| 7 | 2019 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2021 | 22 | |
| 10 | 2023 | 18 | |
| 11 | The Xist RNA Gene Evolved in Eutherians by Pseudogenization of a Protein-Coding Gene | 2006 | 18 |
| 12 | 2024 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2025 | 8 | |
| 20 | 2017 | 5 |
About Shuting Jin
Shuting Jin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 31 papers that have together received 739 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (9 papers), Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (3 papers), Biomedical Text Mining and Ontologies (3 papers), MicroRNA in disease regulation (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Computational Theory and Mathematics (357 citations), Molecular Biology (507 citations), Health Informatics (8 citations), Cancer Research (69 citations) and Biophysics (18 citations). Shuting Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiangrong Liu, Xiangxiang Zeng, Juan Liu, Jiawei Lin, Feng Xia, Wei Huang, Likun Jiang, Rao Fu, Zhangming Niu and Xurui Jin. Their work appears in journals such as Briefings in Bioinformatics, Molecules, Patterns, CrystEngComm and BMC Biology.
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.