John Mongan
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Radiology practices and education
- Radiation Dose and Imaging
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 14
- Radiology practices and education 11
- Radiation Dose and Imaging 5
-
- Artificial Intelligence in Healthcare and Education 13
- Co-authors
- Andrew Taylor (6 shared papers)Clinton Mielke (1 shared paper)Marc Kohli (7 shared papers)Akash P. Kansagra (1 shared paper)John‐Paul J. Yu (1 shared paper)Alvin Rajkomar (1 shared paper)Yanjun Fu (3 shared papers)Dongwei Gao (3 shared papers)
- Journals
- Radiology Artificial Intelligence (11 papers)Radiology (7 papers)Journal of the American College of Radiology (4 papers)Abdominal Radiology (2 papers)Journal of Digital Imaging (2 papers)
- Partner nations
- United StatesThailandGermany
In The Last Decade
John Mongan
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Health Informatics 197
- Radiology, Nuclear Medicine and Imaging 578
- Family Practice 14
- Internal Medicine 21
- Pulmonary and Respiratory Medicine 194
Countries citing papers authored by John Mongan
This map shows the geographic impact of John Mongan'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 John Mongan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Mongan more than expected).
Fields of papers citing papers by John Mongan
This network shows the impact of papers produced by John Mongan. 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 John Mongan. The network helps show where John Mongan may publish in the future.
Co-authors
The 25 scholars most cited alongside John Mongan, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 150 | |
| 2 | 2019 | 117 | |
| 3 | 2016 | 102 | |
| 4 | 2022 | 81 | |
| 5 | 2014 | 68 | |
| 6 | 2012 | 50 | |
| 7 | 2024 | 43 | |
| 8 | 2013 | 38 | |
| 9 | 2016 | 37 | |
| 10 | 2016 | 36 | |
| 11 | 2012 | 35 | |
| 12 | 2020 | 33 | |
| 13 | 2024 | 29 | |
| 14 | 2022 | 28 | |
| 15 | 2024 | 25 | |
| 16 | 2020 | 25 | |
| 17 | 2020 | 23 | |
| 18 | 2015 | 20 | |
| 19 | 2017 | 20 | |
| 20 | 2024 | 14 |
About John Mongan
John Mongan is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Artificial Intelligence in Healthcare and Education (13 papers), Radiology practices and education (11 papers), Medical Imaging and Analysis (7 papers), Kidney Stones and Urolithiasis Treatments (5 papers), Radiation Dose and Imaging (5 papers), Advanced X-ray and CT Imaging (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (197 citations), Radiology, Nuclear Medicine and Imaging (578 citations), Family Practice (14 citations), Internal Medicine (21 citations) and Pulmonary and Respiratory Medicine (194 citations). John Mongan has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include Andrew Taylor, Clinton Mielke, Marc Kohli, Akash P. Kansagra, John‐Paul J. Yu, Alvin Rajkomar, Yanjun Fu, Dongwei Gao, Benjamin M. Yeh and Kimberly Kallianos. Their work appears in journals such as Radiology Artificial Intelligence, Radiology, Journal of the American College of Radiology, Abdominal Radiology and Journal of Digital Imaging.
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.