Veda Larson
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
Papers in
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- Protein Structure and Dynamics 8
- Chemical Synthesis and Analysis 2
- DNA and Nucleic Acid Chemistry 1
- RNA and protein synthesis mechanisms 1
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- Enzyme Structure and Function 4
- Co-authors
- Djamal Bouzida (8 shared papers)Paul A. Rejto (8 shared papers)Anthony B. Colson (8 shared papers)Gennady M. Verkhivker (8 shared papers)Stephan T. Freer (8 shared papers)Peter W. Rose (8 shared papers)Brock A. Luty (8 shared papers)Sandra Arthurs (8 shared papers)
- Journals
- Chemical Physics Letters (2 papers)Journal of Computer-Aided Molecular Design (1 paper)Journal of Medicinal Chemistry (1 paper)Proteins Structure Function and Bioinformatics (1 paper)International Journal of Quantum Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Veda Larson
9 papers receiving 279 citations
Peers
Comparison fields: 5 of 55
- Computational Theory and Mathematics 162
- Molecular Biology 246
- Organic Chemistry 53
- Materials Chemistry 79
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by Veda Larson
This map shows the geographic impact of Veda Larson'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 Veda Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veda Larson more than expected).
Fields of papers citing papers by Veda Larson
This network shows the impact of papers produced by Veda Larson. 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 Veda Larson. The network helps show where Veda Larson may publish in the future.
Co-authors
The 11 scholars most cited alongside Veda Larson, 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 | 2000 | 186 | |
| 2 | 1999 | 34 | |
| 3 | 1999 | 31 | |
| 4 | 2001 | 17 | |
| 5 | 2001 | 9 | |
| 6 | 2001 | 9 | |
| 7 | 2001 | 7 | |
| 8 | 1998 | 6 | |
| 9 | Power cycles analyses by generalized thermodynamic properties | 1980 | 2 |
About Veda Larson
Veda Larson is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Infectious Diseases and Virology, having authored 9 papers that have together received 301 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (4 papers), Computational Drug Discovery Methods (2 papers), Chemical Synthesis and Analysis (2 papers), DNA and Nucleic Acid Chemistry (1 paper), HIV Research and Treatment (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (162 citations), Molecular Biology (246 citations), Organic Chemistry (53 citations), Materials Chemistry (79 citations) and Radiology, Nuclear Medicine and Imaging (39 citations). Veda Larson has collaborated with scholars based in United States. Frequent co-authors include Djamal Bouzida, Paul A. Rejto, Anthony B. Colson, Gennady M. Verkhivker, Stephan T. Freer, Peter W. Rose, Brock A. Luty, Sandra Arthurs, Daniel K. Gehlhaar and Tami Marrone. Their work appears in journals such as Chemical Physics Letters, Journal of Computer-Aided Molecular Design, Journal of Medicinal Chemistry, Proteins Structure Function and Bioinformatics and International Journal of Quantum 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.