Min Ji
Impact in
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations
- Geometric Analysis and Curvature Flows
-
- Nanoparticle-Based Drug Delivery
Papers in
-
- Advanced Nanomaterials in Catalysis 6
- Luminescence and Fluorescent Materials 3
- Co-authors
- Haoli Yu (5 shared papers)Ning Gu (6 shared papers)Yingfei Yi (7 shared papers)Jingyi Chen (1 shared paper)Jiguang Bao (1 shared paper)Bo Guan (1 shared paper)Zhongwei Shen (6 shared papers)Junqing Chen (7 shared papers)
- Journals
- Journal of Sol-Gel Science and Technology (2 papers)Journal of Dynamics and Differential Equations (2 papers)Physica D Nonlinear Phenomena (2 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)Alexandria Engineering Journal (1 paper)
- Partner nations
- ChinaSouth KoreaCanada
In The Last Decade
Min Ji
50 papers receiving 490 citations
Peers
Comparison fields: 5 of 111
- Applied Mathematics 89
- Biomaterials 67
- Computational Theory and Mathematics 78
- Geometry and Topology 32
- Biomedical Engineering 155
Countries citing papers authored by Min Ji
This map shows the geographic impact of Min Ji'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 Min Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ji more than expected).
Fields of papers citing papers by Min Ji
This network shows the impact of papers produced by Min Ji. 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 Min Ji. The network helps show where Min Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Ji, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 53 | |
| 2 | 2020 | 41 | |
| 3 | 2013 | 34 | |
| 4 | 2022 | 26 | |
| 5 | 2017 | 25 | |
| 6 | 2007 | 24 | |
| 7 | 2020 | 23 | |
| 8 | 2024 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2007 | 18 | |
| 11 | 2018 | 17 | |
| 12 | 2009 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2009 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2009 | 11 | |
| 18 | 2004 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2018 | 10 |
About Min Ji
Min Ji is a scholar working on Materials Chemistry, Molecular Biology, Biomedical Engineering, Organic Chemistry and Applied Mathematics, having authored 54 papers that have together received 512 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (9 papers), Advanced Nanomaterials in Catalysis (6 papers), Geometric Analysis and Curvature Flows (5 papers), Computational Drug Discovery Methods (4 papers), Synthesis and biological activity (4 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Luminescence and Fluorescent Materials (3 papers) and Nonlinear Partial Differential Equations (3 papers). The work is most often cited by research in Applied Mathematics (89 citations), Biomaterials (67 citations), Computational Theory and Mathematics (78 citations), Geometry and Topology (32 citations) and Biomedical Engineering (155 citations). Min Ji has collaborated with scholars based in China, South Korea and Canada. Frequent co-authors include Haoli Yu, Ning Gu, Yingfei Yi, Jingyi Chen, Jiguang Bao, Bo Guan, Zhongwei Shen, Junqing Chen, Zuoheng Zhang and Min Sun. Their work appears in journals such as Journal of Sol-Gel Science and Technology, Journal of Dynamics and Differential Equations, Physica D Nonlinear Phenomena, Journal of Enzyme Inhibition and Medicinal Chemistry and Alexandria Engineering Journal.
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.