Nathan S. Doyle
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
-
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 5
-
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Ken K. Y. Ho (5 shared papers)Mercedes Ballesteros (2 shared papers)Michael J. Waters (2 shared papers)Kin‐Chuen Leung (3 shared papers)K C Leung (2 shared papers)Richard Ross (2 shared papers)Gary M. Leong (2 shared papers)Klara Sjögren (2 shared papers)
- Journals
- Medical Physics (2 papers)Endocrinology (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Clinical Neuroradiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Nathan S. Doyle
9 papers receiving 551 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 379
- Cancer Research 51
- Genetics 76
- Endocrine and Autonomic Systems 16
- Oncology 62
Countries citing papers authored by Nathan S. Doyle
This map shows the geographic impact of Nathan S. 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 Nathan S. Doyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan S. Doyle more than expected).
Fields of papers citing papers by Nathan S. Doyle
This network shows the impact of papers produced by Nathan S. 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 Nathan S. Doyle. The network helps show where Nathan S. Doyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan S. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 220 | |
| 2 | 2003 | 183 | |
| 3 | 2001 | 115 | |
| 4 | 2020 | 25 | |
| 5 | 2007 | 9 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 2 | |
| 9 | 2000 | 1 |
About Nathan S. Doyle
Nathan S. Doyle is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 9 papers that have together received 562 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Advanced X-ray and CT Imaging (2 papers), Pancreatic function and diabetes (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (379 citations), Cancer Research (51 citations), Genetics (76 citations), Endocrine and Autonomic Systems (16 citations) and Oncology (62 citations). Nathan S. Doyle has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ken K. Y. Ho, Mercedes Ballesteros, Michael J. Waters, Kin‐Chuen Leung, K C Leung, Richard Ross, Gary M. Leong, Klara Sjögren, Tsu‐Hui Low and C. K. W. Watts. Their work appears in journals such as Medical Physics, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Clinical Neuroradiology and Proceedings of the National Academy of Sciences.
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.