P. Whybra
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 2
- Surgery 3
- Esophageal Cancer Research and Treatment 3
- Co-authors
- Emiliano Spezi (10 shared papers)Kieran Foley (7 shared papers)Craig Parkinson (5 shared papers)John Staffurth (2 shared papers)Tom Crosby (4 shared papers)Zhenwei Shi (3 shared papers)André Dekker (3 shared papers)Leonard Wee (3 shared papers)
- Journals
- Radiotherapy and Oncology (4 papers)Scientific Reports (2 papers)PLoS ONE (1 paper)EJNMMI Research (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United KingdomNetherlandsItaly
In The Last Decade
P. Whybra
10 papers receiving 165 citations
Peers
Comparison fields: 5 of 25
- Radiology, Nuclear Medicine and Imaging 107
- Health Informatics 4
- Oncology 28
- Genetics 9
- Pulmonary and Respiratory Medicine 26
Countries citing papers authored by P. Whybra
This map shows the geographic impact of P. Whybra'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 P. Whybra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Whybra more than expected).
Fields of papers citing papers by P. Whybra
This network shows the impact of papers produced by P. Whybra. 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 P. Whybra. The network helps show where P. Whybra may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Whybra, 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 | 2019 | 59 | |
| 2 | 2018 | 24 | |
| 3 | 2020 | 21 | |
| 4 | 2020 | 21 | |
| 5 | 2019 | 15 | |
| 6 | 2019 | 10 | |
| 7 | 2018 | 9 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2018 | 2 |
About P. Whybra
P. Whybra is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Biomedical Engineering and Oncology, having authored 10 papers that have together received 169 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Esophageal Cancer Research and Treatment (3 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Advanced Radiotherapy Techniques (1 paper), Brain Tumor Detection and Classification (1 paper), Gastric Cancer Management and Outcomes (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (107 citations), Health Informatics (4 citations), Oncology (28 citations), Genetics (9 citations) and Pulmonary and Respiratory Medicine (26 citations). P. Whybra has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include Emiliano Spezi, Kieran Foley, Craig Parkinson, John Staffurth, Tom Crosby, Zhenwei Shi, André Dekker, Leonard Wee, Petros Kalendralis and Chris Hurt. Their work appears in journals such as Radiotherapy and Oncology, Scientific Reports, PLoS ONE, EJNMMI Research and Frontiers in Oncology.
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.