Vu Thai
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Biophysics top 2%
Papers in ⓘ
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- Microtubule and mitosis dynamics 2
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- Enzyme Structure and Function 5
- Co-authors
- Dorothee Kern (5 shared papers)Katherine A. Henzler‐Wildman (3 shared papers)Ming Lei (2 shared papers)Martin Karplus (2 shared papers)S. Jordan Kerns (2 shared papers)Magnus Wolf‐Watz (2 shared papers)Elan Eisenmesser (2 shared papers)Georgia Hadjipavlou (1 shared paper)
- Journals
- Nature (2 papers)Nature Structural & Molecular Biology (2 papers)Journal of Molecular Biology (2 papers)The Journal of Cell Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Vu Thai
8 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 2.0k
- Biophysics 131
- Spectroscopy 361
- Materials Chemistry 866
- Cell Biology 306
Countries citing papers authored by Vu Thai
This map shows the geographic impact of Vu Thai'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 Vu Thai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vu Thai more than expected).
Fields of papers citing papers by Vu Thai
This network shows the impact of papers produced by Vu Thai. 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 Vu Thai. The network helps show where Vu Thai may publish in the future.
Co-authors
The 25 scholars most cited alongside Vu Thai, 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 | A hierarchy of timescales in protein dynamics is linked to enzyme catalysis Hit paper breakdown → | 2007 | 872 |
| 2 | Intrinsic motions along an enzymatic reaction trajectory Hit paper breakdown → | 2007 | 734 |
| 3 | 2004 | 409 | |
| 4 | 2015 | 134 | |
| 5 | 2012 | 52 | |
| 6 | 2007 | 25 | |
| 7 | 2017 | 14 | |
| 8 | 2011 | 4 |
About Vu Thai
Vu Thai is a scholar working on Cell Biology, Materials Chemistry, Molecular Biology, Immunology and Oncology, having authored 8 papers that have together received 2.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (4 papers), Photosynthetic Processes and Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers), Signaling Pathways in Disease (1 paper), Plant nutrient uptake and metabolism (1 paper), Biochemical and Molecular Research (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Molecular Biology (2.0k citations), Biophysics (131 citations), Spectroscopy (361 citations), Materials Chemistry (866 citations) and Cell Biology (306 citations). Vu Thai has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Dorothee Kern, Katherine A. Henzler‐Wildman, Ming Lei, Martin Karplus, S. Jordan Kerns, Magnus Wolf‐Watz, Elan Eisenmesser, Georgia Hadjipavlou, Edwin Pozharski and Mark A. Wilson. Their work appears in journals such as Nature, Nature Structural & Molecular Biology, Journal of Molecular Biology, The Journal of Cell Biology and Journal of Biological Chemistry.
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.