John C. Ford
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Periodontics top 2%
- Dental Health and Care Utilization
Papers in
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- Radiomics and Machine Learning in Medical Imaging 25
- MRI in cancer diagnosis 15
- Advanced MRI Techniques and Applications 11
- Medical Imaging Techniques and Applications 8
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- Prostate Cancer Diagnosis and Treatment 11
- Co-authors
- David Locker (5 shared papers)Nesrin Dogan (21 shared papers)Radka Stoyanova (21 shared papers)Fei Yang (11 shared papers)David B. Hackney (4 shared papers)James L. Leake (1 shared paper)Alan Pollack (14 shared papers)Eric A. Mellon (18 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (10 papers)Medical Physics (8 papers)Scientific Reports (6 papers)Frontiers in Oncology (5 papers)Physica Medica (5 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
John C. Ford
80 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Radiology, Nuclear Medicine and Imaging 824
- Periodontics 158
- Radiation 154
- Spectroscopy 195
- Orthopedics and Sports Medicine 80
Countries citing papers authored by John C. Ford
This map shows the geographic impact of John C. Ford'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 C. Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Ford more than expected).
Fields of papers citing papers by John C. Ford
This network shows the impact of papers produced by John C. Ford. 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 C. Ford. The network helps show where John C. Ford may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Ford, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 156 | |
| 2 | 2016 | 112 | |
| 3 | 1996 | 107 | |
| 4 | 2018 | 92 | |
| 5 | 2018 | 89 | |
| 6 | 1985 | 89 | |
| 7 | 1998 | 82 | |
| 8 | 1993 | 76 | |
| 9 | 2000 | 52 | |
| 10 | 2020 | 48 | |
| 11 | 1996 | 48 | |
| 12 | 2018 | 46 | |
| 13 | 2009 | 46 | |
| 14 | 2020 | 42 | |
| 15 | 2021 | 40 | |
| 16 | 1994 | 38 | |
| 17 | 2021 | 35 | |
| 18 | 2018 | 32 | |
| 19 | 2016 | 31 | |
| 20 | 2020 | 30 |
About John C. Ford
John C. Ford is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Biomedical Engineering and Genetics, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), Advanced Radiotherapy Techniques (18 papers), MRI in cancer diagnosis (15 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Advanced MRI Techniques and Applications (11 papers), Advanced X-ray and CT Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers) and Glioma Diagnosis and Treatment (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (824 citations), Periodontics (158 citations), Radiation (154 citations), Spectroscopy (195 citations) and Orthopedics and Sports Medicine (80 citations). John C. Ford has collaborated with scholars based in United States, Canada and China. Frequent co-authors include David Locker, Nesrin Dogan, Radka Stoyanova, Fei Yang, David B. Hackney, James L. Leake, Alan Pollack, Eric A. Mellon, Hsiao‐Wen Chung and Christopher M. Hand. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Scientific Reports, Frontiers in Oncology and Physica Medica.
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.