Austin Doyle
Impact in
- Oncology top 10%
- Lung Cancer Research Studies
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in ⓘ
-
- Acute Myeloid Leukemia Research 3
- Multiple Myeloma Research and Treatments 3
- Oncology 13
- Cancer Treatment and Pharmacology 3
- Co-authors
- Adi F. Gazdar (2 shared papers)James L. Mulshine (2 shared papers)Keiko Funa (1 shared paper)P A Bunn (1 shared paper)D Carney (1 shared paper)Ilona Linnoila (1 shared paper)Martin Wj (1 shared paper)Frank Cuttitta (1 shared paper)
- Journals
- Journal of Clinical Oncology (9 papers)Annals of Oncology (3 papers)Blood (3 papers)Clinical Cancer Research (2 papers)Investigational New Drugs (2 papers)
- Partner nations
- United StatesFinlandSweden
In The Last Decade
Austin Doyle
33 papers receiving 994 citations
Peers
Comparison fields: 5 of 67
- Oncology 423
- Immunology 215
- Pulmonary and Respiratory Medicine 311
- Cancer Research 99
- Molecular Biology 413
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 324 | |
| 2 | 2004 | 117 | |
| 3 | 2006 | 65 | |
| 4 | 2016 | 62 | |
| 5 | 2015 | 60 | |
| 6 | 2015 | 44 | |
| 7 | 2019 | 43 | |
| 8 | 2007 | 35 | |
| 9 | 2011 | 35 | |
| 10 | 2018 | 31 | |
| 11 | 2018 | 30 | |
| 12 | 2014 | 30 | |
| 13 | 2013 | 26 | |
| 14 | 2010 | 24 | |
| 15 | 1986 | 19 | |
| 16 | 2001 | 13 | |
| 17 | 2018 | 11 | |
| 18 | 2010 | 10 | |
| 19 | 2018 | 7 | |
| 20 | 2017 | 5 |
About Austin Doyle
Austin Doyle is a scholar working on Hematology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Neuroblastoma Research and Treatments (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Cancer Treatment and Pharmacology (3 papers), Acute Myeloid Leukemia Research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Oncology (423 citations), Immunology (215 citations), Pulmonary and Respiratory Medicine (311 citations), Cancer Research (99 citations) and Molecular Biology (413 citations). Austin Doyle has collaborated with scholars based in United States, Finland and Sweden. Frequent co-authors include Adi F. Gazdar, James L. Mulshine, Keiko Funa, P A Bunn, D Carney, Ilona Linnoila, Martin Wj, Frank Cuttitta, SE Martin and Mark J. Krasna. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Blood, Clinical Cancer Research 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.