Darrell N. Smith
Impact in
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- Breast Lesions and Carcinomas
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
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- Breast Lesions and Carcinomas 13
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- Cancer and Skin Lesions 6
- Co-authors
- Jack E. Meyer (12 shared papers)Christine M. Denison (8 shared papers)Susan C. Lester (9 shared papers)Daniel E. Singer (1 shared paper)Michael J. Fine (1 shared paper)Ferenc A. Jólesz (2 shared papers)Pamela J. DiPiro (6 shared papers)Joachim Kettenbach (1 shared paper)
- Journals
- Radiology (6 papers)The Breast Journal (3 papers)American Journal of Roentgenology (2 papers)Oncology (1 paper)Journal of Ultrasound in Medicine (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Darrell N. Smith
26 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 80
- Pathology and Forensic Medicine 645
- Cancer Research 299
- Dermatology 177
- Radiology, Nuclear Medicine and Imaging 393
- Critical Care and Intensive Care Medicine 58
Countries citing papers authored by Darrell N. Smith
This map shows the geographic impact of Darrell N. Smith'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 Darrell N. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell N. Smith more than expected).
Fields of papers citing papers by Darrell N. Smith
This network shows the impact of papers produced by Darrell N. Smith. 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 Darrell N. Smith. The network helps show where Darrell N. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Darrell N. Smith, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 494 | |
| 2 | 2000 | 222 | |
| 3 | 1990 | 184 | |
| 4 | 1998 | 111 | |
| 5 | 1997 | 89 | |
| 6 | 2001 | 83 | |
| 7 | 1997 | 60 | |
| 8 | 2005 | 57 | |
| 9 | 1997 | 38 | |
| 10 | 2000 | 33 | |
| 11 | 2000 | 26 | |
| 12 | 1999 | 24 | |
| 13 | 2004 | 18 | |
| 14 | 2000 | 18 | |
| 15 | 1997 | 18 | |
| 16 | 1998 | 16 | |
| 17 | 2002 | 15 | |
| 18 | 1999 | 10 | |
| 19 | 1998 | 9 | |
| 20 | 2007 | 9 |
About Darrell N. Smith
Darrell N. Smith is a scholar working on Pathology and Forensic Medicine, Dermatology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (13 papers), Cancer and Skin Lesions (6 papers), Breast Cancer Treatment Studies (4 papers), Advanced MRI Techniques and Applications (3 papers), AI in cancer detection (3 papers), MRI in cancer diagnosis (2 papers), Semantic Web and Ontologies (2 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (645 citations), Cancer Research (299 citations), Dermatology (177 citations), Radiology, Nuclear Medicine and Imaging (393 citations) and Critical Care and Intensive Care Medicine (58 citations). Darrell N. Smith has collaborated with scholars based in United States and Japan. Frequent co-authors include Jack E. Meyer, Christine M. Denison, Susan C. Lester, Daniel E. Singer, Michael J. Fine, Ferenc A. Jólesz, Pamela J. DiPiro, Joachim Kettenbach, Peter Huber and Samuel Singer. Their work appears in journals such as Radiology, The Breast Journal, American Journal of Roentgenology, Oncology and Journal of Ultrasound in 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.