Todd E. Wilson
Impact in
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas
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- Breast Cancer Treatment Studies
Papers in
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- Breast Lesions and Carcinomas 4
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- Digital Radiography and Breast Imaging 2
- Renal cell carcinoma treatment 2
- Co-authors
- Mark A. Helvie (14 shared papers)Marilyn A. Roubidoux (8 shared papers)Dorit D. Adler (4 shared papers)Chintana Paramagul (4 shared papers)Heang‐Ping Chan (4 shared papers)Berkman Sahiner (4 shared papers)Nicholas Petrick (4 shared papers)Joel S. Newman (1 shared paper)
- Journals
- Radiology (7 papers)American Journal of Roentgenology (5 papers)Academic Radiology (4 papers)Investigative Radiology (1 paper)Journal of Computer Assisted Tomography (1 paper)
- Partner nations
- United States
In The Last Decade
Todd E. Wilson
20 papers receiving 661 citations
Peers
Comparison fields: 5 of 71
- Pathology and Forensic Medicine 178
- Cancer Research 118
- Nephrology 51
- Radiology, Nuclear Medicine and Imaging 143
- Oncology 166
Countries citing papers authored by Todd E. Wilson
This map shows the geographic impact of Todd E. Wilson'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 Todd E. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd E. Wilson more than expected).
Fields of papers citing papers by Todd E. Wilson
This network shows the impact of papers produced by Todd E. Wilson. 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 Todd E. Wilson. The network helps show where Todd E. Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd E. Wilson, 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 | 1999 | 207 | |
| 2 | 1995 | 71 | |
| 3 | 1996 | 67 | |
| 4 | 1998 | 63 | |
| 5 | 1993 | 49 | |
| 6 | 1995 | 45 | |
| 7 | 1998 | 32 | |
| 8 | 1998 | 24 | |
| 9 | 1994 | 24 | |
| 10 | 1998 | 23 | |
| 11 | 2001 | 21 | |
| 12 | 1999 | 20 | |
| 13 | 1997 | 19 | |
| 14 | 1997 | 16 | |
| 15 | 1996 | 14 | |
| 16 | 1998 | 12 | |
| 17 | 1998 | 4 | |
| 18 | 1996 | 3 | |
| 19 | 1999 | 2 | |
| 20 | 1996 | 1 |
About Todd E. Wilson
Todd E. Wilson is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 20 papers that have together received 717 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Breast Lesions and Carcinomas (4 papers), Digital Radiography and Breast Imaging (2 papers), Renal cell carcinoma treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), MRI in cancer diagnosis (1 paper), Global Cancer Incidence and Screening (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (178 citations), Cancer Research (118 citations), Nephrology (51 citations), Radiology, Nuclear Medicine and Imaging (143 citations) and Oncology (166 citations). Todd E. Wilson has collaborated with scholars based in United States. Frequent co-authors include Mark A. Helvie, Marilyn A. Roubidoux, Dorit D. Adler, Chintana Paramagul, Heang‐Ping Chan, Berkman Sahiner, Nicholas Petrick, Joel S. Newman, Harold A. Oberman and L K Joynt. Their work appears in journals such as Radiology, American Journal of Roentgenology, Academic Radiology, Investigative Radiology and Journal of Computer Assisted Tomography.
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.