Jiewen Du
Impact in
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- Computational Drug Discovery Methods
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- Pharmacological Effects of Natural Compounds
- Microbial Natural Products and Biosynthesis
Papers in
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- Computational Drug Discovery Methods 8
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- Protein Structure and Dynamics 2
- Co-authors
- Zhihong Liu (7 shared papers)Jiansong Fang (3 shared papers)Liwei Xie (3 shared papers)Qiong Gu (5 shared papers)Jun Xu (6 shared papers)Yulong Yin (1 shared paper)Guohuan Xu (1 shared paper)Huihao Zhou (4 shared papers)
- Journals
- Database (2 papers)Bioinformatics (1 paper)Computational and Structural Biotechnology Journal (1 paper)Frontiers in Pharmacology (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jiewen Du
14 papers receiving 282 citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 136
- Pharmacology 31
- Complementary and alternative medicine 26
- Molecular Biology 144
- Pharmacology 26
Countries citing papers authored by Jiewen Du
This map shows the geographic impact of Jiewen Du'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 Jiewen Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiewen Du more than expected).
Fields of papers citing papers by Jiewen Du
This network shows the impact of papers produced by Jiewen Du. 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 Jiewen Du. The network helps show where Jiewen Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiewen Du, 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 | 2019 | 59 | |
| 2 | 2020 | 52 | |
| 3 | 2024 | 35 | |
| 4 | 2017 | 33 | |
| 5 | 2019 | 30 | |
| 6 | 2018 | 28 | |
| 7 | 2016 | 24 | |
| 8 | 2024 | 10 | |
| 9 | 2017 | 8 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 1 |
About Jiewen Du
Jiewen Du is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Pharmacology and Atmospheric Science, having authored 14 papers that have together received 289 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Microbial Natural Products and Biosynthesis (4 papers), Pharmacological Effects of Natural Compounds (2 papers), Protein Structure and Dynamics (2 papers), Machine Learning in Materials Science (2 papers), Click Chemistry and Applications (1 paper), Risk and Safety Analysis (1 paper) and Infrastructure Resilience and Vulnerability Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Pharmacology (31 citations), Complementary and alternative medicine (26 citations), Molecular Biology (144 citations) and Pharmacology (26 citations). Jiewen Du has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhihong Liu, Jiansong Fang, Liwei Xie, Qiong Gu, Jun Xu, Yulong Yin, Guohuan Xu, Huihao Zhou, Xin Yan and Lu Cui. Their work appears in journals such as Database, Bioinformatics, Computational and Structural Biotechnology Journal, Frontiers in Pharmacology and Journal of Chemical Information and Modeling.
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.