Ryan MacArthur

748 citations
25 papers · 603 · h-index 16

Impact in

Papers in

    • bioluminescence and chemiluminescence research 4
    • CRISPR and Genetic Engineering 4
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Electron Spin Resonance Studies 6

Ryan MacArthur

25 papers receiving 581 citations

Peers

Ryan MacArthur
Comparison fields: 5 of 96
  • Biophysics 69
  • Computational Theory and Mathematics 93
  • Molecular Biology 321
  • Pharmacology 36
  • Cellular and Molecular Neuroscience 70
Replace Krysten A. Jones with:
Krysten A. Jones United States
Markus H. J. Seifert Germany
Karine Moncoq France
Roberto A. Chica Canada
Sebastian Radestock Germany
L. Michel Espinoza‐Fonseca United States
Matthew Pokross United States
Min Yen Lee United States
Fabio Lolicato Finland
Hiroyuki Kurihara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ryan MacArthur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryan MacArthur Line = papers co-authored together Ryan MacArthur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200949
2 201547
3 201347
4 201743
5 201141
6 201239
7 200939
8 201137
9 199636
10 201531
11 201429
12 201929
13 200222
14 200918
15 200617
16 200616
17 200815
18 200912
19 20079
20 20026

About Ryan MacArthur

Ryan MacArthur is a scholar working on Molecular Biology, Biophysics, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 25 papers that have together received 603 indexed citations. Recurring topics across this work include Electron Spin Resonance Studies (6 papers), Computational Drug Discovery Methods (6 papers), bioluminescence and chemiluminescence research (4 papers), CRISPR and Genetic Engineering (4 papers), Hereditary Neurological Disorders (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Estrogen and related hormone effects (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Biophysics (69 citations), Computational Theory and Mathematics (93 citations), Molecular Biology (321 citations), Pharmacology (36 citations) and Cellular and Molecular Neuroscience (70 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, Gary W. Brudvig, John Svaren, Sung‐Wook Jang, Min Shen, Christopher P. Austin and Camila Lopez‐Anido. Their work appears in journals such as ACS Chemical Biology, Biochemistry, PLoS ONE, Assay and Drug Development Technologies and Journal of Natural Products.

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.

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