Patrick Leo
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Prostate Cancer Diagnosis and Treatment 11
- Prostate Cancer Treatment and Research 5
- Ferroptosis and cancer prognosis 2
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- Radiomics and Machine Learning in Medical Imaging 16
- Co-authors
- Anant Madabhushi (32 shared papers)Robin Elliott (11 shared papers)Michael D. Feldman (6 shared papers)Natalie Shih (3 shared papers)Pingfu Fu (10 shared papers)George Lee (3 shared papers)Kaustav Bera (9 shared papers)Andrew Janowczyk (11 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Clinical Cancer Research (2 papers)European Radiology (2 papers)JCO Clinical Cancer Informatics (1 paper)npj Precision Oncology (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Patrick Leo
32 papers receiving 495 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 28
- Radiology, Nuclear Medicine and Imaging 260
- Biophysics 33
- Artificial Intelligence 176
- Pulmonary and Respiratory Medicine 142
Countries citing papers authored by Patrick Leo
This map shows the geographic impact of Patrick Leo'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 Patrick Leo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Leo more than expected).
Fields of papers citing papers by Patrick Leo
This network shows the impact of papers produced by Patrick Leo. 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 Patrick Leo. The network helps show where Patrick Leo may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Leo, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 59 | |
| 2 | 2020 | 47 | |
| 3 | 2020 | 45 | |
| 4 | 2020 | 43 | |
| 5 | 2020 | 38 | |
| 6 | 2022 | 35 | |
| 7 | 2020 | 32 | |
| 8 | 2018 | 30 | |
| 9 | 2019 | 27 | |
| 10 | 2022 | 22 | |
| 11 | 2018 | 19 | |
| 12 | 2022 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 8 | |
| 17 | 2016 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2019 | 3 |
About Patrick Leo
Patrick Leo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 502 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Prostate Cancer Diagnosis and Treatment (11 papers), AI in cancer detection (10 papers), Prostate Cancer Treatment and Research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Colorectal Cancer Screening and Detection (3 papers), Ferroptosis and cancer prognosis (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (28 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Biophysics (33 citations), Artificial Intelligence (176 citations) and Pulmonary and Respiratory Medicine (142 citations). Patrick Leo has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Anant Madabhushi, Robin Elliott, Michael D. Feldman, Natalie Shih, Pingfu Fu, George Lee, Kaustav Bera, Andrew Janowczyk, Vamsidhar Velcheti and Germán Corredor. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, European Radiology, JCO Clinical Cancer Informatics and npj Precision 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.