Jie Jiang
Impact in
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth
-
- Crystal Structures and Properties
Papers in
-
- Mathematical Biology Tumor Growth 20
-
- Gene Regulatory Network Analysis 14
- DNA Repair Mechanisms 4
- Co-authors
- Kentarou Fujie (4 shared papers)Baichang Wu (3 shared papers)Ning Ye (4 shared papers)Chuangtian Chen (4 shared papers)Wenrong Zeng (3 shared papers)Songmu Zheng (5 shared papers)Jiao Lin (3 shared papers)Hao Wu (5 shared papers)
- Journals
- Journal of Differential Equations (6 papers)Asymptotic Analysis (3 papers)Physical Review A (3 papers)Nucleic Acids Research (2 papers)Zeitschrift für angewandte Mathematik und Physik (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jie Jiang
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 352
- Electronic, Optical and Magnetic Materials 408
- Computational Theory and Mathematics 158
- Applied Mathematics 99
- Cell Biology 143
Countries citing papers authored by Jie Jiang
This map shows the geographic impact of Jie Jiang'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 Jie Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Jiang more than expected).
Fields of papers citing papers by Jie Jiang
This network shows the impact of papers produced by Jie Jiang. 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 Jie Jiang. The network helps show where Jie Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie Jiang, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 259 | |
| 2 | 2000 | 137 | |
| 3 | 2008 | 83 | |
| 4 | 2014 | 68 | |
| 5 | 2021 | 67 | |
| 6 | 2020 | 65 | |
| 7 | 2008 | 63 | |
| 8 | 2013 | 59 | |
| 9 | 2000 | 44 | |
| 10 | 2015 | 41 | |
| 11 | 2021 | 41 | |
| 12 | 1993 | 40 | |
| 13 | 2015 | 39 | |
| 14 | 2013 | 37 | |
| 15 | 2021 | 31 | |
| 16 | 2007 | 30 | |
| 17 | 2015 | 28 | |
| 18 | 2014 | 28 | |
| 19 | 2013 | 28 | |
| 20 | 1995 | 27 |
About Jie Jiang
Jie Jiang is a scholar working on Modeling and Simulation, Molecular Biology, Cell Biology, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (20 papers), Gene Regulatory Network Analysis (14 papers), Cellular Mechanics and Interactions (11 papers), Advanced Mathematical Modeling in Engineering (9 papers), Cold Atom Physics and Bose-Einstein Condensates (6 papers), Solidification and crystal growth phenomena (5 papers), Crystal Structures and Properties (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Modeling and Simulation (352 citations), Electronic, Optical and Magnetic Materials (408 citations), Computational Theory and Mathematics (158 citations), Applied Mathematics (99 citations) and Cell Biology (143 citations). Jie Jiang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kentarou Fujie, Baichang Wu, Ning Ye, Chuangtian Chen, Wenrong Zeng, Songmu Zheng, Jiao Lin, Hao Wu, Yingmei Liu and Lichao Zhao. Their work appears in journals such as Journal of Differential Equations, Asymptotic Analysis, Physical Review A, Nucleic Acids Research and Zeitschrift für angewandte Mathematik und Physik.
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.