Peter W. Hamilton
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
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- Gene expression and cancer classification 5
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- AI in cancer detection 22
- Co-authors
- Manuel Salto‐Tellez (18 shared papers)Jacqueline A. James (17 shared papers)Darragh G. McArt (16 shared papers)Peter Bankhead (10 shared papers)Maurice B. Loughrey (10 shared papers)Stephen McQuaid (9 shared papers)Philip D. Dunne (9 shared papers)Helen G. Coleman (7 shared papers)
- Journals
- The Journal of Pathology (23 papers)Histopathology (8 papers)Journal of Clinical Pathology (7 papers)British Journal of Urology (4 papers)PLoS ONE (4 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Peter W. Hamilton
114 papers receiving 7.8k citations
Peter W. Hamilton's Hit Papers
Peers
Comparison fields: 5 of 178
- Biophysics 670
- Oncology 1.4k
- Cancer Research 655
- Immunology 775
- Health Informatics 48
Countries citing papers authored by Peter W. Hamilton
This map shows the geographic impact of Peter W. Hamilton'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 Peter W. Hamilton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Hamilton more than expected).
Fields of papers citing papers by Peter W. Hamilton
This network shows the impact of papers produced by Peter W. Hamilton. 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 Peter W. Hamilton. The network helps show where Peter W. Hamilton may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter W. Hamilton, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | QuPath: Open source software for digital pathology image analysis Hit paper breakdown → | 2017 | 4912 |
| 2 | 2014 | 143 | |
| 3 | 2004 | 136 | |
| 4 | 2000 | 116 | |
| 5 | 2012 | 112 | |
| 6 | 2006 | 111 | |
| 7 | 2016 | 106 | |
| 8 | 1998 | 104 | |
| 9 | 1996 | 98 | |
| 10 | 2006 | 86 | |
| 11 | 2017 | 81 | |
| 12 | 1997 | 72 | |
| 13 | 1995 | 62 | |
| 14 | 2018 | 60 | |
| 15 | 2007 | 54 | |
| 16 | 2014 | 51 | |
| 17 | 1994 | 51 | |
| 18 | 2009 | 50 | |
| 19 | 2017 | 50 | |
| 20 | 2005 | 45 |
About Peter W. Hamilton
Peter W. Hamilton is a scholar working on Molecular Biology, Artificial Intelligence, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 115 papers that have together received 7.9k indexed citations. Recurring topics across this work include AI in cancer detection (22 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Colorectal Cancer Screening and Detection (10 papers), Cancer Genomics and Diagnostics (8 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Bladder and Urothelial Cancer Treatments (6 papers), Cell Image Analysis Techniques (6 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Biophysics (670 citations), Oncology (1.4k citations), Cancer Research (655 citations), Immunology (775 citations) and Health Informatics (48 citations). Peter W. Hamilton has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Manuel Salto‐Tellez, Jacqueline A. James, Darragh G. McArt, Peter Bankhead, Maurice B. Loughrey, Stephen McQuaid, Philip D. Dunne, Helen G. Coleman, Ronan T. Gray and José A. Fernández. Their work appears in journals such as The Journal of Pathology, Histopathology, Journal of Clinical Pathology, British Journal of Urology and PLoS ONE.
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.