Michael F. McNitt‐Gray
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiation Dose and Imaging 99
- Medical Imaging Techniques and Applications 80
- Radiomics and Machine Learning in Medical Imaging 69
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Diagnosis and Treatment 78
- Digital Radiography and Breast Imaging 20
- Radiation top 0.5%
- Advanced Radiotherapy Techniques 19
- Biomedical Engineering top 0.5%
- Advanced X-ray and CT Imaging 100
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- AI in cancer detection 15
- Co-authors
- Jonathan GoldinDenise R. AberleMatthew S. BrownCynthia H. McColloughDianna D. CodyJohn J. DeMarcoJ. Jeffrey CarrChris H. Cagnon
- Journals
- Circulation (1 paper)Journal of Clinical Oncology (1 paper)American Journal of Respiratory and Critical Care Medicine (3 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Michael F. McNitt‐Gray
223 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Radiology, Nuclear Medicine and Imaging 7.2k
- Pulmonary and Respiratory Medicine 4.0k
- Radiation 927
- Biomedical Engineering 3.6k
- Critical Care and Intensive Care Medicine 320
Countries citing papers authored by Michael F. McNitt‐Gray
This map shows the geographic impact of Michael F. McNitt‐Gray'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 Michael F. McNitt‐Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael F. McNitt‐Gray more than expected).
Fields of papers citing papers by Michael F. McNitt‐Gray
This network shows the impact of papers produced by Michael F. McNitt‐Gray. 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 Michael F. McNitt‐Gray. The network helps show where Michael F. McNitt‐Gray may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael F. McNitt‐Gray, 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 | 2025 | 2 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2014 | 122 | |
| 6 | 2014 | 49 | |
| 7 | 2013 | 6 | |
| 8 | 2011 | 74 | |
| 9 | 2011 | 1 | |
| 10 | 2011 | 123 | |
| 11 | 2010 | 17 | |
| 12 | 2009 | 364 | |
| 13 | 2006 | 38 | |
| 14 | 2005 | 78 | |
| 15 | 2005 | 9 | |
| 16 | 2004 | 96 | |
| 17 | 2002 | 125 | |
| 18 | 2001 | 137 | |
| 19 | TimeLine: A Multimedia, Problem-Centric Visualization of Patient Records | 1999 | 5 |
| 20 | 1999 | 23 |
About Michael F. McNitt‐Gray
Michael F. McNitt‐Gray is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics, having authored 233 papers that have together received 9.8k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (100 papers), Radiation Dose and Imaging (99 papers), Medical Imaging Techniques and Applications (80 papers), Lung Cancer Diagnosis and Treatment (78 papers), Radiomics and Machine Learning in Medical Imaging (69 papers), Digital Radiography and Breast Imaging (20 papers), Advanced Radiotherapy Techniques (19 papers) and AI in cancer detection (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (7.2k citations), Pulmonary and Respiratory Medicine (4.0k citations) and Radiation (927 citations). Michael F. McNitt‐Gray has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jonathan Goldin, Denise R. Aberle, Matthew S. Brown, Cynthia H. McCollough, Dianna D. Cody, John J. DeMarco, J. Jeffrey Carr, Chris H. Cagnon, Kirsten Boedeker and Jennifer C. Nelson. Their work appears in journals such as Circulation, Journal of Clinical Oncology and American Journal of Respiratory and Critical Care 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.