Ryan MacArthur
Impact in
- Biophysics top 5%
- Electron Spin Resonance Studies
-
- Computational Drug Discovery Methods
Papers in
-
- bioluminescence and chemiluminescence research 4
- CRISPR and Genetic Engineering 4
-
- Electron Spin Resonance Studies 5
- Co-authors
- James Inglese (17 shared papers)Douglas S. Auld (6 shared papers)Rajarshi Guha (5 shared papers)Patricia Dranchak (6 shared papers)Sung‐Wook Jang (2 shared papers)Min Shen (2 shared papers)Gary W. Brudvig (3 shared papers)John Svaren (3 shared papers)
- Journals
- ACS Chemical Biology (4 papers)Assay and Drug Development Technologies (2 papers)PLoS ONE (2 papers)SLAS DISCOVERY (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesCosta RicaUnited Kingdom
In The Last Decade
Ryan MacArthur
24 papers receiving 546 citations
Peers
Comparison fields: 5 of 98
- Biophysics 66
- Computational Theory and Mathematics 90
- Molecular Biology 307
- Pharmacology 37
- Cellular and Molecular Neuroscience 64
Countries citing papers authored by Ryan MacArthur
This map shows the geographic impact of Ryan MacArthur'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 Ryan MacArthur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan MacArthur more than expected).
Fields of papers citing papers by Ryan MacArthur
This network shows the impact of papers produced by Ryan MacArthur. 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 Ryan MacArthur. The network helps show where Ryan MacArthur may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan MacArthur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 45 | |
| 2 | 2013 | 44 | |
| 3 | 2015 | 44 | |
| 4 | 2017 | 41 | |
| 5 | 2011 | 41 | |
| 6 | 2009 | 38 | |
| 7 | 2012 | 37 | |
| 8 | 2011 | 37 | |
| 9 | 1996 | 32 | |
| 10 | 2019 | 28 | |
| 11 | 2015 | 28 | |
| 12 | 2014 | 27 | |
| 13 | 2009 | 18 | |
| 14 | 2002 | 18 | |
| 15 | 2006 | 16 | |
| 16 | 2006 | 16 | |
| 17 | 2008 | 13 | |
| 18 | 2009 | 11 | |
| 19 | 2002 | 6 | |
| 20 | 2007 | 6 |
About Ryan MacArthur
Ryan MacArthur is a scholar working on Molecular Biology, Biophysics, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Pharmacology, having authored 24 papers that have together received 562 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Electron Spin Resonance Studies (5 papers), bioluminescence and chemiluminescence research (4 papers), CRISPR and Genetic Engineering (4 papers), Hereditary Neurological Disorders (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Photochemistry and Electron Transfer Studies (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Biophysics (66 citations), Computational Theory and Mathematics (90 citations), Molecular Biology (307 citations), Pharmacology (37 citations) and Cellular and Molecular Neuroscience (64 citations). Ryan MacArthur has collaborated with scholars based in United States, Costa Rica and United Kingdom. Frequent co-authors include James Inglese, Douglas S. Auld, Rajarshi Guha, Patricia Dranchak, Sung‐Wook Jang, Min Shen, Gary W. Brudvig, John Svaren, Camila Lopez‐Anido and Scott Lovell. Their work appears in journals such as ACS Chemical Biology, Assay and Drug Development Technologies, PLoS ONE, SLAS DISCOVERY and Journal of the American Chemical Society.
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.