Peter D. Caie
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Health Informatics top 10%
Papers in
- Oncology 19
- Colorectal Cancer Screening and Detection 7
- Cancer Immunotherapy and Biomarkers 6
-
- AI in cancer detection 10
- Co-authors
- David J. Harrison (23 shared papers)Ines P. Nearchou (9 shared papers)Ognjen Arandjelović (9 shared papers)Hideki Ueno (7 shared papers)Neil O. Carragher (2 shared papers)Sandeep Daya (2 shared papers)Mark Roberts (2 shared papers)Kate Lillard (3 shared papers)
- Journals
- Cancer Research (4 papers)Annals of Oncology (3 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (3 papers)Cancers (3 papers)npj Digital Medicine (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Peter D. Caie
36 papers receiving 773 citations
Peers
Comparison fields: 5 of 102
- Biophysics 241
- Health Informatics 19
- Media Technology 77
- Oncology 195
- Radiology, Nuclear Medicine and Imaging 154
Countries citing papers authored by Peter D. Caie
This map shows the geographic impact of Peter D. Caie'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 D. Caie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D. Caie more than expected).
Fields of papers citing papers by Peter D. Caie
This network shows the impact of papers produced by Peter D. Caie. 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 D. Caie. The network helps show where Peter D. Caie may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter D. Caie, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 128 | |
| 2 | 2010 | 120 | |
| 3 | 2019 | 71 | |
| 4 | 2018 | 49 | |
| 5 | 2014 | 44 | |
| 6 | 2020 | 43 | |
| 7 | 2019 | 39 | |
| 8 | 2019 | 37 | |
| 9 | 2020 | 33 | |
| 10 | 2016 | 20 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2012 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2013 | 9 | |
| 20 | 2015 | 9 |
About Peter D. Caie
Peter D. Caie is a scholar working on Oncology, Artificial Intelligence, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 785 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Colorectal Cancer Screening and Detection (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Bladder and Urothelial Cancer Treatments (6 papers), Cell Image Analysis Techniques (5 papers), Renal cell carcinoma treatment (4 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Biophysics (241 citations), Health Informatics (19 citations), Media Technology (77 citations), Oncology (195 citations) and Radiology, Nuclear Medicine and Imaging (154 citations). Peter D. Caie has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include David J. Harrison, Ines P. Nearchou, Ognjen Arandjelović, Hideki Ueno, Neil O. Carragher, Sandeep Daya, Mark Roberts, Kate Lillard, Anca Oniscu and Yoshiki Kajiwara. Their work appears in journals such as Cancer Research, Annals of Oncology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Cancers and npj Digital Medicine.
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.