Michael N. Murphy
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Behavioral Neuroscience top 10%
Papers in
- Software 2
- Software Testing and Debugging Techniques 2
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- Advanced Software Engineering Methodologies 2
- Co-authors
- William B. Pratt (1 shared paper)Yosuke Morishima (1 shared paper)Eric A. Ortlund (3 shared papers)Daniel K. Lapsley (1 shared paper)Miguel Angel Lanaspa (1 shared paper)Peter A. Tipton (1 shared paper)Eric A. Gaucher (1 shared paper)Christina L. Graves (1 shared paper)
- Journals
- Handbook of experimental pharmacology (1 paper)Journal of Molecular Biology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Cell (1 paper)Developmental Review (1 paper)
- Partner nations
- United StatesAustriaCanada
In The Last Decade
Michael N. Murphy
11 papers receiving 875 citations
Peers
Comparison fields: 5 of 126
- Nephrology 158
- Behavioral Neuroscience 33
- Molecular Biology 492
- Physiology 30
- Cell Biology 88
Countries citing papers authored by Michael N. Murphy
This map shows the geographic impact of Michael N. Murphy'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 Michael N. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael N. Murphy more than expected).
Fields of papers citing papers by Michael N. Murphy
This network shows the impact of papers produced by Michael N. Murphy. 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 Michael N. Murphy. The network helps show where Michael N. Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael N. Murphy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 272 | |
| 2 | 2005 | 198 | |
| 3 | 2010 | 197 | |
| 4 | 2014 | 80 | |
| 5 | 1985 | 64 | |
| 6 | 2009 | 28 | |
| 7 | 2022 | 24 | |
| 8 | 2016 | 17 | |
| 9 | 2022 | 15 | |
| 10 | 2024 | 6 | |
| 11 | 1987 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2026 | 0 |
About Michael N. Murphy
Michael N. Murphy is a scholar working on Software, Artificial Intelligence, Molecular Biology, Physiology and Clinical Biochemistry, having authored 13 papers that have together received 902 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Software Testing and Debugging Techniques (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced Software Engineering Methodologies (2 papers), Cancer Research and Treatments (1 paper), Pluripotent Stem Cells Research (1 paper), Neurotransmitter Receptor Influence on Behavior (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Nephrology (158 citations), Behavioral Neuroscience (33 citations), Molecular Biology (492 citations), Physiology (30 citations) and Cell Biology (88 citations). Michael N. Murphy has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include William B. Pratt, Yosuke Morishima, Eric A. Ortlund, Daniel K. Lapsley, Miguel Angel Lanaspa, Peter A. Tipton, Eric A. Gaucher, Christina L. Graves, Christina Cicerchi and Richard J. Johnson. Their work appears in journals such as Handbook of experimental pharmacology, Journal of Molecular Biology, Journal of Pharmacology and Experimental Therapeutics, Cell and Developmental Review.
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.