Jia Jia
Impact in
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- Computational Drug Discovery Methods
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
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- Protein Structure and Dynamics 2
- Molecular Biology Techniques and Applications 2
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- Algebraic Geometry and Number Theory 5
- Geometry and complex manifolds 4
- Geometric and Algebraic Topology 2
- Co-authors
- Yu Chen (7 shared papers)Feng Zhu (2 shared papers)Xiaohua Ma (2 shared papers)Hua Xiao (2 shared papers)Lianyi Han (2 shared papers)Honghuang Lin (2 shared papers)Boon Chuan Low (2 shared papers)Bin Xie (1 shared paper)
- Journals
- Nature Reviews Drug Discovery (1 paper)Proceedings of the Edinburgh Mathematical Society (1 paper)Drug Discovery Today (1 paper)Journal of the Mathematical Society of Japan (1 paper)Journal of Geometric Analysis (1 paper)
- Partner nations
- SingaporeChinaSouth Korea
In The Last Decade
Jia Jia
12 papers receiving 911 citations
Jia Jia's Hit Papers
Peers
Comparison fields: 5 of 110
- Computational Theory and Mathematics 284
- Biomaterials 110
- Molecular Biology 493
- Pharmacology 59
- Molecular Medicine 33
Countries citing papers authored by Jia Jia
This map shows the geographic impact of Jia Jia'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 Jia Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Jia more than expected).
Fields of papers citing papers by Jia Jia
This network shows the impact of papers produced by Jia Jia. 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 Jia Jia. The network helps show where Jia Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia Jia, 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 | Mechanisms of drug combinations: interaction and network perspectives Hit paper breakdown → | 2009 | 770 |
| 2 | 2007 | 64 | |
| 3 | 2008 | 30 | |
| 4 | 2007 | 22 | |
| 5 | 2008 | 20 | |
| 6 | 2011 | 5 | |
| 7 | 2009 | 4 | |
| 8 | 2020 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 |
About Jia Jia
Jia Jia is a scholar working on Molecular Biology, Geometry and Topology, Computational Theory and Mathematics, Mathematical Physics and Organic Chemistry, having authored 14 papers that have together received 925 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (5 papers), Geometry and complex manifolds (4 papers), Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (2 papers), Advanced Algebra and Geometry (2 papers), Geometric and Algebraic Topology (2 papers), Molecular Biology Techniques and Applications (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (284 citations), Biomaterials (110 citations), Molecular Biology (493 citations), Pharmacology (59 citations) and Molecular Medicine (33 citations). Jia Jia has collaborated with scholars based in Singapore, China and South Korea. Frequent co-authors include Yu Chen, Feng Zhu, Xiaohua Ma, Hua Xiao, Lianyi Han, Honghuang Lin, Boon Chuan Low, Bin Xie, Xin Chen and Hu Li. Their work appears in journals such as Nature Reviews Drug Discovery, Proceedings of the Edinburgh Mathematical Society, Drug Discovery Today, Journal of the Mathematical Society of Japan and Journal of Geometric Analysis.
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.