Michael P. Cusack
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in ⓘ
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- Mitochondrial Function and Pathology 3
- Metabolomics and Mass Spectrometry Studies 2
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Bradford W. Gibson (7 shared papers)Birgit Schilling (7 shared papers)Matthew J. Rardin (2 shared papers)Eric Verdin (2 shared papers)Dylan J. Sorensen (2 shared papers)C. Ronald Kahn (2 shared papers)Jason M. Held (2 shared papers)Biao Li (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Electrophoresis (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesMexicoFrance
In The Last Decade
Michael P. Cusack
8 papers receiving 991 citations
Peers
Comparison fields: 5 of 91
- Geriatrics and Gerontology 176
- Spectroscopy 206
- Molecular Biology 691
- Aging 13
- Cellular and Molecular Neuroscience 130
Countries citing papers authored by Michael P. Cusack
This map shows the geographic impact of Michael P. Cusack'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 P. Cusack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Cusack more than expected).
Fields of papers citing papers by Michael P. Cusack
This network shows the impact of papers produced by Michael P. Cusack. 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 P. Cusack. The network helps show where Michael P. Cusack may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael P. Cusack, 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 | 2013 | 359 | |
| 2 | 2012 | 356 | |
| 3 | 2006 | 115 | |
| 4 | 2005 | 46 | |
| 5 | 2014 | 40 | |
| 6 | 2005 | 39 | |
| 7 | 2007 | 25 | |
| 8 | 2014 | 20 |
About Michael P. Cusack
Michael P. Cusack is a scholar working on Molecular Biology, Spectroscopy, Surgery, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 1000 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Metabolism and Genetic Disorders (1 paper), Pancreatic function and diabetes (1 paper), Computational Drug Discovery Methods (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Geriatrics and Gerontology (176 citations), Spectroscopy (206 citations), Molecular Biology (691 citations), Aging (13 citations) and Cellular and Molecular Neuroscience (130 citations). Michael P. Cusack has collaborated with scholars based in United States, Mexico and France. Frequent co-authors include Bradford W. Gibson, Birgit Schilling, Matthew J. Rardin, Eric Verdin, Dylan J. Sorensen, C. Ronald Kahn, Jason M. Held, Biao Li, Sean D. Mooney and John C. Newman. Their work appears in journals such as Molecular & Cellular Proteomics, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Electrophoresis, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.