Dennie T. Frederick
- Molecular Biology top 2%
- Oncology top 0.5%
- Immunology top 1%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Keith T. FlahertyJennifer A. WargoZachary A. CooperDavid E. FisherGenevieve M. BolandMichal Barzily-RokniRavid StraussmanRyan J. Sullivan
- Topics
- Melanoma and MAPK Pathways (42 papers)Cancer Immunotherapy and Biomarkers (20 papers)Immunotherapy and Immune Responses (17 papers)
- Cited by
- OncologyImmunologyCancer Research
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Dennie T. Frederick
71 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 3.8k
- Oncology 3.2k
- Immunology 1.7k
- Cancer Research 1.1k
- Pulmonary and Respiratory Medicine 618
Countries citing papers authored by Dennie T. Frederick
This map shows the geographic impact of Dennie T. Frederick'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 Dennie T. Frederick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennie T. Frederick more than expected).
Fields of papers citing papers by Dennie T. Frederick
This network shows the impact of papers produced by Dennie T. Frederick. 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 Dennie T. Frederick. The network helps show where Dennie T. Frederick may publish in the future.
Co-authorship network of co-authors of Dennie T. Frederick
This figure shows the co-authorship network connecting the top 25 collaborators of Dennie T. Frederick. A scholar is included among the top collaborators of Dennie T. Frederick 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 Dennie T. Frederick. Dennie T. Frederick 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 | 0 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 66 | |
| 8 | 10 | |
| 9 | 37 | |
| 10 | 5 | |
| 11 | 138 | |
| 12 | 8 | |
| 13 | 49 | |
| 14 | 178 | |
| 15 | 192 | |
| 16 | 96 | |
| 17 | 148 | |
| 18 | A Melanoma Cell State Distinction Influences Sensitivity to MAPK Pathway Inhibitorsbreakdown → | 357 |
| 19 | 171 | |
| 20 | 184 |
About Dennie T. Frederick
Dennie T. Frederick is a scholar working on Oncology, Immunology and Cancer Research, having authored 79 papers that have together received 6.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (42 papers), Cancer Immunotherapy and Biomarkers (20 papers) and Immunotherapy and Immune Responses (17 papers). The work is most often cited by research in Oncology (3.2k citations), Immunology (1.7k citations) and Cancer Research (1.1k citations). Dennie T. Frederick has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Keith T. Flaherty, Jennifer A. Wargo, Zachary A. Cooper, David E. Fisher, Genevieve M. Boland, Michal Barzily-Rokni, Ravid Straussman, Ryan J. Sullivan, Antoni Ribas and Joshua Gould. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.