Austin Doyle
Impact in
- Oncology top 10%
- Lung Cancer Research Studies
- Peptidase Inhibition and Analysis
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Protein Degradation and Inhibitors 3
- DNA Repair Mechanisms 2
- Oncology 13
- Cancer Treatment and Pharmacology 3
- Co-authors
- Adi F. Gazdar (2 shared papers)SE Martin (1 shared paper)Keiko Funa (1 shared paper)Martin Wj (1 shared paper)James L. Mulshine (2 shared papers)D Carney (1 shared paper)Frank Cuttitta (1 shared paper)P A Bunn (1 shared paper)
- Journals
- Journal of Clinical Oncology (9 papers)Clinical Cancer Research (3 papers)Blood (3 papers)Annals of Oncology (3 papers)Investigational New Drugs (2 papers)
- Partner nations
- United StatesSwedenFinland
In The Last Decade
Austin Doyle
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 65
- Oncology 391
- Immunology 202
- Pulmonary and Respiratory Medicine 274
- Cancer Research 92
- Pathology and Forensic Medicine 100
Countries citing papers authored by Austin Doyle
This map shows the geographic impact of Austin Doyle'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 Austin Doyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin Doyle more than expected).
Fields of papers citing papers by Austin Doyle
This network shows the impact of papers produced by Austin Doyle. 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 Austin Doyle. The network helps show where Austin Doyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Austin Doyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 337 | |
| 2 | 2004 | 121 | |
| 3 | 2006 | 67 | |
| 4 | 2016 | 64 | |
| 5 | 2015 | 63 | |
| 6 | 2015 | 45 | |
| 7 | 2019 | 44 | |
| 8 | 2011 | 39 | |
| 9 | 2011 | 37 | |
| 10 | 2007 | 35 | |
| 11 | 2018 | 32 | |
| 12 | 2014 | 32 | |
| 13 | 2013 | 31 | |
| 14 | 2018 | 30 | |
| 15 | 2010 | 26 | |
| 16 | 1986 | 21 | |
| 17 | 2001 | 15 | |
| 18 | 2018 | 12 | |
| 19 | 2010 | 11 | |
| 20 | 2018 | 9 |
About Austin Doyle
Austin Doyle is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (4 papers), Neuroblastoma Research and Treatments (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Protein Degradation and Inhibitors (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Cancer Treatment and Pharmacology (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Oncology (391 citations), Immunology (202 citations), Pulmonary and Respiratory Medicine (274 citations), Cancer Research (92 citations) and Pathology and Forensic Medicine (100 citations). Austin Doyle has collaborated with scholars based in United States, Sweden and Finland. Frequent co-authors include Adi F. Gazdar, SE Martin, Keiko Funa, Martin Wj, James L. Mulshine, D Carney, Frank Cuttitta, P A Bunn, Ilona Linnoila and Mark J. Krasna. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Blood, Annals of Oncology and Investigational New Drugs.
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.