Ruxi Qi
- Biomaterials top 10%
- Molecular Biology top 10%
- Protein Structure and Dynamics 9
- Lipid Membrane Structure and Behavior 3
- Ion channel regulation and function 3
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ 3
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- Alzheimer's disease research and treatments 4
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- Enzyme Structure and Function 4
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- Lattice Boltzmann Simulation Studies 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Journals
- Physical Chemistry Chemical Physics (4 papers)Nature Communications (2 papers)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Ruxi Qi
32 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 211
- Biomaterials 162
- Molecular Biology 783
- Cell Biology 117
- Physiology 171
Countries citing papers authored by Ruxi Qi
This map shows the geographic impact of Ruxi Qi'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 Ruxi Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruxi Qi more than expected).
Fields of papers citing papers by Ruxi Qi
This network shows the impact of papers produced by Ruxi Qi. 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 Ruxi Qi. The network helps show where Ruxi Qi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruxi Qi, 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 | 2026 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 43 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 4 | |
| 10 | 2019 | 9 | |
| 11 | Recent Developments and Applications of the MMPBSA Methodbreakdown → | 2018 | 467 |
| 12 | 2018 | 76 | |
| 13 | 2018 | 28 | |
| 14 | 2018 | 85 | |
| 15 | 2017 | 0 | |
| 16 | 2017 | 13 | |
| 17 | 2016 | 15 | |
| 18 | 2016 | 21 | |
| 19 | 2016 | 94 | |
| 20 | 2016 | 28 |
About Ruxi Qi
Ruxi Qi is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Computer Graphics and Computer-Aided Design and Virology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (4 papers), Alzheimer's disease research and treatments (4 papers), Lattice Boltzmann Simulation Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lipid Membrane Structure and Behavior (3 papers), Ion channel regulation and function (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Computational Theory and Mathematics (211 citations), Biomaterials (162 citations), Molecular Biology (783 citations), Cell Biology (117 citations) and Physiology (171 citations). Ruxi Qi has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Ray Luo, D’Artagnan Greene, Li Xiao, Changhao Wang, Guanghong Wei, Buyong Ma, Ruth Nussinov, Yin Luo, Qingwen Zhang and Jiangtao Lei. Their work appears in journals such as Physical Chemistry Chemical Physics, Nature Communications, The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation 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.