John C. Ford
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- Radiomics and Machine Learning in Medical Imaging 28
- MRI in cancer diagnosis 18
- Medical Imaging Techniques and Applications 15
- Advanced MRI Techniques and Applications 14
- Periodontics top 2%
- Radiation top 5%
- Advanced Radiotherapy Techniques 20
- Health Informatics top 10%
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- Prostate Cancer Diagnosis and Treatment 12
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- Advanced X-ray and CT Imaging 11
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- Glioma Diagnosis and Treatment 9
- Co-authors
- David LockerNesrin DoganRadka StoyanovaFei YangDavid B. HackneyJames L. LeakeAlan PollackEric A. Mellon
- Journals
- International Journal of Radiation Oncology*Biology*Physics (10 papers)Medical Physics (8 papers)Scientific Reports (6 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
John C. Ford
77 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 999
- Periodontics 176
- Radiation 176
- Health Informatics 17
- Orthopedics and Sports Medicine 95
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 28 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 7 | |
| 12 | 2018 | 90 | |
| 13 | 2018 | 10 | |
| 14 | 2016 | 30 | |
| 15 | 2016 | 105 | |
| 16 | 1998 | 78 | |
| 17 | 1996 | 13 | |
| 18 | 1994 | 36 | |
| 19 | 1994 | 147 | |
| 20 | The General Practitioner's Role in Alcoholism | 1956 | 1 |
About John C. Ford
John C. Ford is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Periodontics, Genetics and Pulmonary and Respiratory Medicine, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Advanced Radiotherapy Techniques (20 papers), MRI in cancer diagnosis (18 papers), Medical Imaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (14 papers), Prostate Cancer Diagnosis and Treatment (12 papers), Advanced X-ray and CT Imaging (11 papers) and Glioma Diagnosis and Treatment (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (999 citations), Periodontics (176 citations), Radiation (176 citations), Health Informatics (17 citations) and Orthopedics and Sports Medicine (95 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, Christopher M. Hand and Peter M. Joseph. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Scientific Reports, Physica Medica and Frontiers in Oncology.
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.