John R. Scheel
Impact in
- Health Informatics top 2%
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 31
- Global Cancer Incidence and Screening 29
- Colorectal Cancer Screening and Detection 9
-
- MRI in cancer diagnosis 7
- Co-authors
- Constance Dobbins Lehman (13 shared papers)T E Kreis (3 shared papers)Christoph I. Lee (8 shared papers)Gareth Wyn Griffiths (1 shared paper)Heinz Horstmann (1 shared paper)Rainer Pepperkok (2 shared papers)H P Hauri (1 shared paper)Savannah C. Partridge (9 shared papers)
- Journals
- Journal of the American College of Radiology (22 papers)American Journal of Roentgenology (4 papers)Radiology (4 papers)Cancer (4 papers)Academic Radiology (4 papers)
- Partner nations
- United StatesUgandaGermany
In The Last Decade
John R. Scheel
85 papers receiving 2.9k citations
John R. Scheel's Hit Papers
Peers
Comparison fields: 5 of 147
- Health Informatics 105
- Radiology, Nuclear Medicine and Imaging 660
- Cancer Research 342
- Cell Biology 396
- Oncology 485
Countries citing papers authored by John R. Scheel
This map shows the geographic impact of John R. Scheel'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 R. Scheel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Scheel more than expected).
Fields of papers citing papers by John R. Scheel
This network shows the impact of papers produced by John R. Scheel. 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 R. Scheel. The network helps show where John R. Scheel may publish in the future.
Co-authors
The 25 scholars most cited alongside John R. Scheel, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Breast cancer early detection: A phased approach to implementation Hit paper breakdown → | 2020 | 510 |
| 2 | 1993 | 302 | |
| 3 | 2005 | 222 | |
| 4 | 2015 | 171 | |
| 5 | 2004 | 169 | |
| 6 | 2020 | 157 | |
| 7 | 2014 | 113 | |
| 8 | 2015 | 104 | |
| 9 | 2018 | 98 | |
| 10 | 1989 | 83 | |
| 11 | 2002 | 82 | |
| 12 | 2016 | 79 | |
| 13 | 2021 | 57 | |
| 14 | 2023 | 52 | |
| 15 | 1991 | 41 | |
| 16 | 1999 | 40 | |
| 17 | 1999 | 38 | |
| 18 | 2023 | 35 | |
| 19 | 2016 | 31 | |
| 20 | 2017 | 29 |
About John R. Scheel
John R. Scheel is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Health, Toxicology and Mutagenesis and Pathology and Forensic Medicine, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (29 papers), Breast Cancer Treatment Studies (11 papers), Digital Radiography and Breast Imaging (9 papers), Colorectal Cancer Screening and Detection (9 papers), Climate Change and Health Impacts (8 papers), Breast Lesions and Carcinomas (7 papers), MRI in cancer diagnosis (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (105 citations), Radiology, Nuclear Medicine and Imaging (660 citations), Cancer Research (342 citations), Cell Biology (396 citations) and Oncology (485 citations). John R. Scheel has collaborated with scholars based in United States, Uganda and Germany. Frequent co-authors include Constance Dobbins Lehman, T E Kreis, Christoph I. Lee, Gareth Wyn Griffiths, Heinz Horstmann, Rainer Pepperkok, H P Hauri, Savannah C. Partridge, Habib Rahbar and Sangeeta N. Bhatia. Their work appears in journals such as Journal of the American College of Radiology, American Journal of Roentgenology, Radiology, Cancer and Academic Radiology.
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.