C B Stelling
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Cancer Research
- Artificial Intelligence
- Co-authors
- Diane D. DaveyDeborah E. PowellEdward A. SicklesBarbara MonseesDaniel B. KopansR. Edward HendrickM. ZinningerValerie P. Jackson
- Topics
- Breast Lesions and Carcinomas (8 papers)Breast Cancer Treatment Studies (5 papers)Global Cancer Incidence and Screening (2 papers)
- Partner nations
- United StatesIreland
In The Last Decade
C B Stelling
16 papers receiving 328 citations
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 129
- Pathology and Forensic Medicine 128
- Oncology 121
- Cancer Research 80
- Artificial Intelligence 62
Countries citing papers authored by C B Stelling
This map shows the geographic impact of C B Stelling'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 C B Stelling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C B Stelling more than expected).
Fields of papers citing papers by C B Stelling
This network shows the impact of papers produced by C B Stelling. 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 C B Stelling. The network helps show where C B Stelling may publish in the future.
Co-authorship network of co-authors of C B Stelling
This figure shows the co-authorship network connecting the top 25 collaborators of C B Stelling. A scholar is included among the top collaborators of C B Stelling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C B Stelling. C B Stelling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Inflammatory breast cancer: Current imaging perspectives | 2 |
| 2 | Mammographic changes by endocrine therapy | 1 |
| 3 | 42 | |
| 4 | 4 | |
| 5 | 117 | |
| 6 | 32 | |
| 7 | Management of mammographic indeterminate lesions. First place winner of the Conrad Jobst Award in the Gold Medal paper competition. | 1 |
| 8 | 22 | |
| 9 | Sensitivity, specificity, predictive value and accuracy of film/screen mammography. A three-year experience. | 3 |
| 10 | 21 | |
| 11 | 26 | |
| 12 | 25 | |
| 13 | 25 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 15 |
About C B Stelling
C B Stelling is a scholar working on Pathology and Forensic Medicine, Cancer Research and Otorhinolaryngology, having authored 16 papers that have together received 350 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (8 papers), Breast Cancer Treatment Studies (5 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (128 citations), Radiology, Nuclear Medicine and Imaging (129 citations) and Cancer Research (80 citations). C B Stelling has collaborated with scholars based in United States and Ireland. Frequent co-authors include Diane D. Davey, Deborah E. Powell, Edward A. Sickles, Barbara Monsees, Daniel B. Kopans, R. Edward Hendrick, M. Zinninger, Valerie P. Jackson, Stephen A. Feig and Carl J. D’Orsi. Their work appears in journals such as Radiology, American Journal of Roentgenology and Radiographics.
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.