Michael J. Peyton
Impact in
- Cell Biology top 10%
- Caveolin-1 and cellular processes
- Cellular transport and secretion
-
- Metabolism, Diabetes, and Cancer
- RNA Research and Splicing
- Ion Transport and Channel Regulation
Papers in
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- Signaling Pathways in Disease 1
- Cancer therapeutics and mechanisms 1
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- Lung Cancer Treatments and Mutations 2
- Co-authors
- Galvin H. Swift (2 shared papers)Raymond J. MacDonald (2 shared papers)John D. Minna (1 shared paper)Katherine Luby‐Phelps (1 shared paper)Hubert K. Zajicek (1 shared paper)Wei-Ping Li (1 shared paper)Kerrie‐Ann McMahon (1 shared paper)Richard G.W. Anderson (1 shared paper)
- Journals
- BioTechniques (1 paper)Gynecologic Oncology (1 paper)The EMBO Journal (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Michael J. Peyton
6 papers receiving 342 citations
Peers
Comparison fields: 5 of 61
- Cell Biology 153
- Molecular Biology 221
- Cancer Research 31
- Surgery 87
- Physiology 49
Countries citing papers authored by Michael J. Peyton
This map shows the geographic impact of Michael J. Peyton'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 J. Peyton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Peyton more than expected).
Fields of papers citing papers by Michael J. Peyton
This network shows the impact of papers produced by Michael J. Peyton. 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 J. Peyton. The network helps show where Michael J. Peyton may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Peyton, 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 | 2009 | 165 | |
| 2 | 2001 | 91 | |
| 3 | 2008 | 37 | |
| 4 | 2000 | 28 | |
| 5 | Inactivation of the G alpha i2 and G alpha o genes by homologous recombination. | 1997 | 16 |
| 6 | 2011 | 7 |
About Michael J. Peyton
Michael J. Peyton is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 344 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (2 papers), Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer therapeutics and mechanisms (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Cell Adhesion Molecules Research (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Cell Biology (153 citations), Molecular Biology (221 citations), Cancer Research (31 citations), Surgery (87 citations) and Physiology (49 citations). Michael J. Peyton has collaborated with scholars based in United States and South Korea. Frequent co-authors include Galvin H. Swift, Raymond J. MacDonald, John D. Minna, Katherine Luby‐Phelps, Hubert K. Zajicek, Wei-Ping Li, Kerrie‐Ann McMahon, Richard G.W. Anderson, V. James Hernandez and Scott D. Rose. Their work appears in journals such as BioTechniques, Gynecologic Oncology, The EMBO Journal, Clinical Chemistry and Laboratory Medicine (CCLM) 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.