Simon K. Kearsley
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 10%
- Spectroscopy top 5%
- Organic Chemistry top 10%
- Co-authors
- Robert P. SheridanGraham SmithDennis UnderwoodMitchell D. MillerEugene M. FluderBradley P. FeustonVladimir N. MaiorovMichael D. Miller
- Topics
- Computational Drug Discovery Methods (15 papers)Chemical Synthesis and Analysis (8 papers)Analytical Chemistry and Chromatography (6 papers)
- Journals
- BiochemistryJournal of Medicinal ChemistryMethods in enzymology on CD-ROM/Methods in enzymology
- Partner nations
- United StatesUnited KingdomSouth Sudan
In The Last Decade
Simon K. Kearsley
27 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.2k
- Computational Theory and Mathematics 1.2k
- Materials Chemistry 455
- Spectroscopy 321
- Organic Chemistry 313
Countries citing papers authored by Simon K. Kearsley
This map shows the geographic impact of Simon K. Kearsley'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 Simon K. Kearsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon K. Kearsley more than expected).
Fields of papers citing papers by Simon K. Kearsley
This network shows the impact of papers produced by Simon K. Kearsley. 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 Simon K. Kearsley. The network helps show where Simon K. Kearsley may publish in the future.
Co-authorship network of co-authors of Simon K. Kearsley
This figure shows the co-authorship network connecting the top 25 collaborators of Simon K. Kearsley. A scholar is included among the top collaborators of Simon K. Kearsley 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 Simon K. Kearsley. Simon K. Kearsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 36 | |
| 5 | 101 | |
| 6 | 15 | |
| 7 | 29 | |
| 8 | New problems that should be addressed in the next ten years 7 | 0 |
| 9 | 195 | |
| 10 | 135 | |
| 11 | 12 | |
| 12 | 128 | |
| 13 | 12 | |
| 14 | 81 | |
| 15 | 188 | |
| 16 | 12 | |
| 17 | 220 | |
| 18 | 88 | |
| 19 | 2 | |
| 20 | 25 |
About Simon K. Kearsley
Simon K. Kearsley is a scholar working on Computational Theory and Mathematics, Spectroscopy and Physical and Theoretical Chemistry, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Chemical Synthesis and Analysis (8 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Spectroscopy (321 citations) and Molecular Biology (1.2k citations). Simon K. Kearsley has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include Robert P. Sheridan, Graham Smith, Dennis Underwood, Mitchell D. Miller, Eugene M. Fluder, Bradley P. Feuston, Vladimir N. Maiorov, Michael D. Miller, Joseph D. Andose and Ralph T. Mosley. Their work appears in journals such as Biochemistry, Journal of Medicinal Chemistry and Methods in enzymology on CD-ROM/Methods in enzymology.
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.