Allison M. Sawyer
- Molecular Biology top 10%
- Oncology top 5%
- Pathology and Forensic Medicine top 10%
- Computational Theory and Mathematics top 2%
- Cancer Research
- Co-authors
- Levi A. GarrawayLaura E. MacConaillCory M. JohannessenPanisa PochanardWilliam C. HahnNikhil WagleMatthew J. DavisMatthew Meyerson
- Topics
- Melanoma and MAPK Pathways (4 papers)Receptor Mechanisms and Signaling (3 papers)Neurotransmitter Receptor Influence on Behavior (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyJournal of Neuroscience
- Partner nations
- United StatesSwitzerland
In The Last Decade
Allison M. Sawyer
8 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.2k
- Oncology 672
- Pathology and Forensic Medicine 220
- Computational Theory and Mathematics 198
- Cancer Research 156
Countries citing papers authored by Allison M. Sawyer
This map shows the geographic impact of Allison M. Sawyer'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 Allison M. Sawyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison M. Sawyer more than expected).
Fields of papers citing papers by Allison M. Sawyer
This network shows the impact of papers produced by Allison M. Sawyer. 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 Allison M. Sawyer. The network helps show where Allison M. Sawyer may publish in the future.
Co-authorship network of co-authors of Allison M. Sawyer
This figure shows the co-authorship network connecting the top 25 collaborators of Allison M. Sawyer. A scholar is included among the top collaborators of Allison M. Sawyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Allison M. Sawyer. Allison M. Sawyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 56 | |
| 3 | 28 | |
| 4 | Dissecting Therapeutic Resistance to RAF Inhibition in Melanoma by Tumor Genomic Profilingbreakdown → | 732 |
| 5 | 109 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 482 |
About Allison M. Sawyer
Allison M. Sawyer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Oncology, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Receptor Mechanisms and Signaling (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Oncology (672 citations), Molecular Biology (1.2k citations) and Computational Theory and Mathematics (198 citations). Allison M. Sawyer has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Levi A. Garraway, Laura E. MacConaill, Cory M. Johannessen, Panisa Pochanard, William C. Hahn, Nikhil Wagle, Matthew J. Davis, Matthew Meyerson, Sarah M. Kehoe and Michael F. Berger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.
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.