Victoria T. Lim
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Spectroscopy
- Co-authors
- David L. MobleyChristopher I. BaylyCaitlin C. BannanMichael R. ShirtsJohn D. ChoderaMichael K. GilsonAndrea RizziNathan M. Lim
- Topics
- Protein Structure and Dynamics (5 papers)Ion channel regulation and function (4 papers)Computational Drug Discovery Methods (4 papers)
- Journals
- Scientific ReportsJournal of Chemical Theory and ComputationThe Journal of General Physiology
- Partner nations
- United StatesSlovakiaUnited Kingdom
In The Last Decade
Victoria T. Lim
14 papers receiving 348 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 251
- Computational Theory and Mathematics 136
- Materials Chemistry 122
- Atomic and Molecular Physics, and Optics 68
- Spectroscopy 42
Countries citing papers authored by Victoria T. Lim
This map shows the geographic impact of Victoria T. Lim'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 Victoria T. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria T. Lim more than expected).
Fields of papers citing papers by Victoria T. Lim
This network shows the impact of papers produced by Victoria T. Lim. 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 Victoria T. Lim. The network helps show where Victoria T. Lim may publish in the future.
Co-authorship network of co-authors of Victoria T. Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria T. Lim. A scholar is included among the top collaborators of Victoria T. Lim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victoria T. Lim. Victoria T. Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 113 | |
| 5 | 18 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 121 | |
| 14 | 26 | |
| 15 | 6 |
About Victoria T. Lim
Victoria T. Lim is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Physiology, having authored 15 papers that have together received 352 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Ion channel regulation and function (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Molecular Biology (251 citations) and Physical and Theoretical Chemistry (30 citations). Victoria T. Lim has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include David L. Mobley, Christopher I. Bayly, Caitlin C. Bannan, Michael R. Shirts, John D. Chodera, Michael K. Gilson, Andrea Rizzi, Nathan M. Lim, Peter Eastman and David R. Slochower. Their work appears in journals such as Scientific Reports, Journal of Chemical Theory and Computation and The Journal of General Physiology.
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.