Ryan MacArthur
Impact in
- Biophysics top 5%
- Electron Spin Resonance Studies
-
- Computational Drug Discovery Methods
Papers in
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- Electron Spin Resonance Studies 5
-
- Computational Drug Discovery Methods 4
- Co-authors
- James Inglese (18 shared papers)Douglas S. Auld (6 shared papers)Rajarshi Guha (5 shared papers)Patricia K. Dranchak (6 shared papers)Gary W. Brudvig (4 shared papers)John P. Svaren (3 shared papers)Sung‐Wook Jang (2 shared papers)Min Shen (2 shared papers)
- Journals
- ACS Chemical Biology (5 papers)Assay and Drug Development Technologies (2 papers)PLoS ONE (2 papers)Biochemistry (2 papers)Review of Scientific Instruments (1 paper)
- Partner nations
- United StatesCosta RicaPapua New Guinea
In The Last Decade
Ryan MacArthur
25 papers receiving 584 citations
Peers
Comparison fields: 5 of 72
- Biophysics 55
- Computational Theory and Mathematics 114
- Molecular Biology 206
- Cellular and Molecular Neuroscience 44
- Inorganic Chemistry 38
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 53 | |
| 2 | 2009 | 50 | |
| 3 | 2015 | 48 | |
| 4 | 2012 | 44 | |
| 5 | 2017 | 44 | |
| 6 | 2009 | 41 | |
| 7 | 2011 | 40 | |
| 8 | 2011 | 40 | |
| 9 | 1996 | 36 | |
| 10 | 2015 | 33 | |
| 11 | 2014 | 29 | |
| 12 | 2019 | 29 | |
| 13 | 2002 | 22 | |
| 14 | 2009 | 19 | |
| 15 | 2006 | 17 | |
| 16 | 2006 | 17 | |
| 17 | 2008 | 15 | |
| 18 | 2009 | 14 | |
| 19 | 2007 | 8 | |
| 20 | 2019 | 7 |
About Ryan MacArthur
Ryan MacArthur is a scholar working on Biophysics, Computational Theory and Mathematics, Molecular Biology, Inorganic Chemistry and Pharmacology, having authored 25 papers that have together received 622 indexed citations. Recurring topics across this work include Electron Spin Resonance Studies (5 papers), Computational Drug Discovery Methods (4 papers), bioluminescence and chemiluminescence research (3 papers), Metal-Catalyzed Oxygenation Mechanisms (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Hereditary Neurological Disorders (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Biophysics (55 citations), Computational Theory and Mathematics (114 citations), Molecular Biology (206 citations), Cellular and Molecular Neuroscience (44 citations) and Inorganic Chemistry (38 citations). Ryan MacArthur has collaborated with scholars based in United States, Costa Rica and Papua New Guinea. Frequent co-authors include James Inglese, Douglas S. Auld, Rajarshi Guha, Patricia K. Dranchak, Gary W. Brudvig, John P. Svaren, Sung‐Wook Jang, Min Shen, Christopher P. Austin and Camila Lopez‐Anido. Their work appears in journals such as ACS Chemical Biology, Assay and Drug Development Technologies, PLoS ONE, Biochemistry and Review of Scientific Instruments.
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.