Ronald W. Sarver
- Molecular Biology top 10%
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Spectroscopy top 10%
- Organic Chemistry
- Co-authors
- William C. KruegerBrian J. StockmanClaudio DalvitPaul E. FagernessDennis E. Van EppsJ. Richard MillerJoseph M. RogersMelissa S. Harris
- Topics
- Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (6 papers)RNA and protein synthesis mechanisms (5 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryAnalytical Biochemistry
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Ronald W. Sarver
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 701
- Computational Theory and Mathematics 169
- Materials Chemistry 168
- Spectroscopy 138
- Organic Chemistry 130
Countries citing papers authored by Ronald W. Sarver
This map shows the geographic impact of Ronald W. Sarver'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 Ronald W. Sarver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald W. Sarver more than expected).
Fields of papers citing papers by Ronald W. Sarver
This network shows the impact of papers produced by Ronald W. Sarver. 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 Ronald W. Sarver. The network helps show where Ronald W. Sarver may publish in the future.
Co-authorship network of co-authors of Ronald W. Sarver
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald W. Sarver. A scholar is included among the top collaborators of Ronald W. Sarver 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 Ronald W. Sarver. Ronald W. Sarver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 30 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 37 | |
| 6 | 41 | |
| 7 | 12 | |
| 8 | 190 | |
| 9 | 10 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 26 | |
| 13 | 71 | |
| 14 | 30 | |
| 15 | 4 | |
| 16 | 61 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 137 |
About Ronald W. Sarver
Ronald W. Sarver is a scholar working on Computational Theory and Mathematics, Spectroscopy and Physical and Theoretical Chemistry, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Biophysics (62 citations), Computational Theory and Mathematics (169 citations) and Molecular Biology (701 citations). Ronald W. Sarver has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include William C. Krueger, Brian J. Stockman, Claudio Dalvit, Paul E. Fagerness, Dennis E. Van Epps, J. Richard Miller, Joseph M. Rogers, Melissa S. Harris, Jeanne S. Chang and Gabriela Barreiro. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Analytical Biochemistry.
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.