Kun Gou
Impact in
- Mechanics of Materials top 10%
- Elasticity and Wave Propagation
- Numerical methods in engineering
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- Elasticity and Material Modeling
Papers in
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- Elasticity and Material Modeling 13
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- Biochemical and Molecular Research 6
- Epigenetics and DNA Methylation 3
- Co-authors
- Thomas J. Pence (5 shared papers)Jay R. Walton (3 shared papers)Yinglan Zhao (9 shared papers)Hasan Demirkoparan (2 shared papers)Yue Zhou (8 shared papers)Heiko Topol (2 shared papers)Lei Tao (6 shared papers)Κ. R. Rajagopal (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Mathematics and Mechanics of Solids (3 papers)International Journal of Engineering Science (3 papers)Small (1 paper)Journal of Biomechanical Engineering (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kun Gou
31 papers receiving 432 citations
Peers
Comparison fields: 5 of 91
- Mechanics of Materials 109
- Biomedical Engineering 176
- Cancer Research 58
- Cell Biology 57
- Fluid Flow and Transfer Processes 13
Countries citing papers authored by Kun Gou
This map shows the geographic impact of Kun Gou'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 Kun Gou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Gou more than expected).
Fields of papers citing papers by Kun Gou
This network shows the impact of papers produced by Kun Gou. 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 Kun Gou. The network helps show where Kun Gou may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Gou, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 103 | |
| 2 | 2014 | 65 | |
| 3 | 2014 | 45 | |
| 4 | 2024 | 33 | |
| 5 | 2018 | 24 | |
| 6 | 2019 | 24 | |
| 7 | 2015 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 8 | |
| 12 | 2012 | 8 | |
| 13 | 2011 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2014 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2022 | 5 |
About Kun Gou
Kun Gou is a scholar working on Biomedical Engineering, Molecular Biology, Mechanics of Materials, Cell Biology and Surgery, having authored 33 papers that have together received 442 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (13 papers), Cellular Mechanics and Interactions (6 papers), Biochemical and Molecular Research (6 papers), Fatigue and fracture mechanics (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Connective tissue disorders research (3 papers), Epigenetics and DNA Methylation (3 papers) and Numerical methods in engineering (3 papers). The work is most often cited by research in Mechanics of Materials (109 citations), Biomedical Engineering (176 citations), Cancer Research (58 citations), Cell Biology (57 citations) and Fluid Flow and Transfer Processes (13 citations). Kun Gou has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Thomas J. Pence, Jay R. Walton, Yinglan Zhao, Hasan Demirkoparan, Yue Zhou, Heiko Topol, Lei Tao, Κ. R. Rajagopal, Xia Zhou and Pak‐Wing Fok. Their work appears in journals such as European Journal of Medicinal Chemistry, Mathematics and Mechanics of Solids, International Journal of Engineering Science, Small and Journal of Biomechanical Engineering.
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.