Patrick Leo
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Prostate Cancer Diagnosis and Treatment 14
- Prostate Cancer Treatment and Research 5
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- Radiomics and Machine Learning in Medical Imaging 13
- Co-authors
- Anant Madabhushi (28 shared papers)Michael D. Feldman (5 shared papers)Robin M. Elliott (8 shared papers)Pingfu Fu (9 shared papers)Natalie N. C. Shih (2 shared papers)Andrew R. Janowczyk (9 shared papers)George Lee (3 shared papers)Kaustav Bera (8 shared papers)
- Journals
- npj Precision Oncology (2 papers)Clinical Cancer Research (2 papers)JCO Clinical Cancer Informatics (1 paper)Cancer Research (1 paper)Cancer Medicine (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Patrick Leo
32 papers receiving 695 citations
Peers
Comparison fields: 5 of 49
- Health Informatics 45
- Radiology, Nuclear Medicine and Imaging 324
- Biophysics 71
- Artificial Intelligence 275
- Pulmonary and Respiratory Medicine 211
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 | 2021 | 81 | |
| 2 | 2016 | 65 | |
| 3 | 2020 | 51 | |
| 4 | 2020 | 48 | |
| 5 | 2020 | 47 | |
| 6 | 2020 | 41 | |
| 7 | 2022 | 39 | |
| 8 | 2018 | 34 | |
| 9 | 2020 | 33 | |
| 10 | 2019 | 30 | |
| 11 | 2021 | 27 | |
| 12 | 2021 | 24 | |
| 13 | 2022 | 24 | |
| 14 | 2018 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2020 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2023 | 9 |
About Patrick Leo
Patrick Leo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology and Cancer Research, having authored 32 papers that have together received 707 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (13 papers), Prostate Cancer Treatment and Research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Molecular Biology Techniques and Applications (3 papers), Medical Imaging and Analysis (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (324 citations), Biophysics (71 citations), Artificial Intelligence (275 citations) and Pulmonary and Respiratory Medicine (211 citations). Patrick Leo has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Anant Madabhushi, Michael D. Feldman, Robin M. Elliott, Pingfu Fu, Natalie N. C. Shih, Andrew R. Janowczyk, George Lee, Kaustav Bera, Germán Corredor and Vamsidhar Velcheti. Their work appears in journals such as npj Precision Oncology, Clinical Cancer Research, JCO Clinical Cancer Informatics, Cancer Research and Cancer 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.