John Spillane
Impact in
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
- Bone health and treatments
- Cancer Cells and Metastasis
- CAR-T cell therapy research
Papers in
- Oncology 15
- Cutaneous Melanoma Detection and Management 12
- Cancer Cells and Metastasis 2
- CAR-T cell therapy research 2
-
- Melanoma and MAPK Pathways 4
- Co-authors
- Michael A. Henderson (17 shared papers)David Gyorki (13 shared papers)David Speakman (12 shared papers)John Slavin (1 shared paper)T. John Martin (1 shared paper)Graham Byrnes (1 shared paper)Janine A. Danks (1 shared paper)John L. Hopper (1 shared paper)
- Journals
- Annals of Surgical Oncology (5 papers)ANZ Journal of Surgery (4 papers)Journal of Clinical Oncology (2 papers)Journal of Surgical Oncology (2 papers)Cancer Research (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
John Spillane
23 papers receiving 370 citations
Peers
Comparison fields: 5 of 61
- Oncology 266
- Dermatology 20
- Immunology 41
- Molecular Biology 116
- Internal Medicine 5
Countries citing papers authored by John Spillane
This map shows the geographic impact of John Spillane'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 John Spillane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Spillane more than expected).
Fields of papers citing papers by John Spillane
This network shows the impact of papers produced by John Spillane. 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 John Spillane. The network helps show where John Spillane may publish in the future.
Co-authors
The 25 scholars most cited alongside John Spillane, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 92 | |
| 2 | 2007 | 61 | |
| 3 | 2016 | 25 | |
| 4 | 2016 | 24 | |
| 5 | 2016 | 22 | |
| 6 | 2015 | 20 | |
| 7 | 2015 | 19 | |
| 8 | 2018 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2014 | 12 | |
| 11 | 2012 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 1998 | 9 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2002 | 6 | |
| 19 | 2015 | 4 | |
| 20 | 2024 | 3 |
About John Spillane
John Spillane is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 24 papers that have together received 379 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (12 papers), Melanoma and MAPK Pathways (4 papers), Cancer Cells and Metastasis (2 papers), CAR-T cell therapy research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (266 citations), Dermatology (20 citations), Immunology (41 citations), Molecular Biology (116 citations) and Internal Medicine (5 citations). John Spillane has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael A. Henderson, David Gyorki, David Speakman, John Slavin, T. John Martin, Graham Byrnes, Janine A. Danks, John L. Hopper, Peter Choong and Angela Webb. Their work appears in journals such as Annals of Surgical Oncology, ANZ Journal of Surgery, Journal of Clinical Oncology, Journal of Surgical Oncology and Cancer Research.
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.