Michael Peyton
Impact in
- Sensory Systems top 0.2%
- Ion Channels and Receptors
- Oncology top 2%
- HER2/EGFR in Cancer Research
Papers in
-
- Genomics and Chromatin Dynamics 7
- PI3K/AKT/mTOR signaling in cancer 6
- Protein Degradation and Inhibitors 5
- RNA modifications and cancer 5
- Histone Deacetylase Inhibitors Research 4
- Oncology 15
- HER2/EGFR in Cancer Research 4
- Co-authors
- John D. MinnaLutz BirnbaumerMeisheng JiangLuc GirardGuylain BoulayAdi F. GazdarEnrico StefaniXi Zhu
- Journals
- Cancer Research (13 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Thoracic Oncology (3 papers)PLoS ONE (3 papers)Neoplasia (2 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Michael Peyton
56 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Sensory Systems 1.1k
- Oncology 1.5k
- Molecular Biology 3.5k
- Cancer Research 754
- Cellular and Molecular Neuroscience 747
Countries citing papers authored by Michael Peyton
This map shows the geographic impact of Michael 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 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 Peyton more than expected).
Fields of papers citing papers by Michael Peyton
This network shows the impact of papers produced by Michael 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 Peyton. The network helps show where Michael Peyton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael 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 | 2024 | 9 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 48 | |
| 8 | 2017 | 2 | |
| 9 | 2017 | 81 | |
| 10 | 2016 | 56 | |
| 11 | 2012 | 35 | |
| 12 | 2011 | 135 | |
| 13 | 2011 | 80 | |
| 14 | 2011 | 48 | |
| 15 | 2010 | 48 | |
| 16 | 2010 | 139 | |
| 17 | 2009 | 26 | |
| 18 | 2008 | 117 | |
| 19 | 2007 | 473 | |
| 20 | 2006 | 178 |
About Michael Peyton
Michael Peyton is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 5.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Genomics and Chromatin Dynamics (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Degradation and Inhibitors (5 papers), RNA modifications and cancer (5 papers), Histone Deacetylase Inhibitors Research (4 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Sensory Systems (1.1k citations), Oncology (1.5k citations), Molecular Biology (3.5k citations), Cancer Research (754 citations) and Cellular and Molecular Neuroscience (747 citations). Michael Peyton has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include John D. Minna, Lutz Birnbaumer, Meisheng Jiang, Luc Girard, Guylain Boulay, Adi F. Gazdar, Enrico Stefani, Xi Zhu, Xiangcheng Zhu and Xiaodong Wang. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Journal of Thoracic Oncology, PLoS ONE and Neoplasia.
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.