Justin Ream
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
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- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
Papers in
- Surgery 27
- Diverticular Disease and Complications 9
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- MRI in cancer diagnosis 21
- Radiomics and Machine Learning in Medical Imaging 10
- Advanced MRI Techniques and Applications 8
- Co-authors
- Andrew B. Rosenkrantz (22 shared papers)Samir S. Taneja (9 shared papers)James S. Babb (6 shared papers)Hersh Chandarana (9 shared papers)Henry Rusinek (6 shared papers)Ricardo Otazo (3 shared papers)Ankur M. Doshi (8 shared papers)Kai Tobias Block (3 shared papers)
- Journals
- Abdominal Radiology (11 papers)American Journal of Roentgenology (7 papers)Academic Radiology (3 papers)Journal of Crohn s and Colitis (3 papers)Journal of Computer Assisted Tomography (3 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Justin Ream
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 67
- Radiology, Nuclear Medicine and Imaging 698
- Pulmonary and Respiratory Medicine 433
- Hepatology 93
- Rheumatology 110
- Surgery 282
Countries citing papers authored by Justin Ream
This map shows the geographic impact of Justin Ream'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 Justin Ream with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Ream more than expected).
Fields of papers citing papers by Justin Ream
This network shows the impact of papers produced by Justin Ream. 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 Justin Ream. The network helps show where Justin Ream may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin Ream, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 136 | |
| 2 | 2015 | 94 | |
| 3 | 2014 | 83 | |
| 4 | 2013 | 74 | |
| 5 | 2015 | 59 | |
| 6 | 2016 | 49 | |
| 7 | 2014 | 48 | |
| 8 | 2015 | 40 | |
| 9 | 2016 | 35 | |
| 10 | 2016 | 32 | |
| 11 | 2014 | 32 | |
| 12 | 2020 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2017 | 24 | |
| 16 | 2015 | 22 | |
| 17 | 2011 | 22 | |
| 18 | 2023 | 21 | |
| 19 | 2017 | 21 | |
| 20 | 2020 | 21 |
About Justin Ream
Justin Ream is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics and Epidemiology, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (21 papers), Inflammatory Bowel Disease (16 papers), Prostate Cancer Diagnosis and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Diverticular Disease and Complications (9 papers), Advanced MRI Techniques and Applications (8 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Microscopic Colitis (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (698 citations), Pulmonary and Respiratory Medicine (433 citations), Hepatology (93 citations), Rheumatology (110 citations) and Surgery (282 citations). Justin Ream has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Andrew B. Rosenkrantz, Samir S. Taneja, James S. Babb, Hersh Chandarana, Henry Rusinek, Ricardo Otazo, Ankur M. Doshi, Kai Tobias Block, Li Feng and Daniel K. Sodickson. Their work appears in journals such as Abdominal Radiology, American Journal of Roentgenology, Academic Radiology, Journal of Crohn s and Colitis and Journal of Computer Assisted Tomography.
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.