Matthew J. Davis
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Matthew MeyersonLevi A. GarrawayMichael F. BergerLaura E. MacConaillPanisa PochanardWilliam C. HahnNikhil WagleSarah M. Kehoe
- Topics
- Melanoma and MAPK Pathways (5 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)Glycosylation and Glycoproteins Research (1 paper)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyThe Journal of Cell Biology
- Partner nations
- United StatesItalyChina
In The Last Decade
Matthew J. Davis
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.0k
- Oncology 637
- Cancer Research 360
- Pathology and Forensic Medicine 204
- Pulmonary and Respiratory Medicine 204
Countries citing papers authored by Matthew J. Davis
This map shows the geographic impact of Matthew J. Davis'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 Matthew J. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Davis more than expected).
Fields of papers citing papers by Matthew J. Davis
This network shows the impact of papers produced by Matthew J. Davis. 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 Matthew J. Davis. The network helps show where Matthew J. Davis may publish in the future.
Co-authorship network of co-authors of Matthew J. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Davis. A scholar is included among the top collaborators of Matthew J. Davis 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 Matthew J. Davis. Matthew J. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 51 | |
| 4 | 13 | |
| 5 | 11 | |
| 6 | 91 | |
| 7 | 0 | |
| 8 | 134 | |
| 9 | 66 | |
| 10 | 4 | |
| 11 | Dissecting Therapeutic Resistance to RAF Inhibition in Melanoma by Tumor Genomic Profilingbreakdown → | 732 |
| 12 | 384 | |
| 13 | 1 | |
| 14 | 137 |
About Matthew J. Davis
Matthew J. Davis is a scholar working on Forestry, Virology and Pharmacy, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (360 citations), Oncology (637 citations) and Molecular Biology (1.0k citations). Matthew J. Davis has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Matthew Meyerson, Levi A. Garraway, Michael F. Berger, Laura E. MacConaill, Panisa Pochanard, William C. Hahn, Nikhil Wagle, Sarah M. Kehoe, Allison M. Sawyer and Cory M. Johannessen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Cell Biology.
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.