Daniel Sullivan
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Breast Lesions and Carcinomas
Papers in
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- Medical Imaging and Pathology Studies 2
- Lung Cancer Diagnosis and Treatment 2
- Lung Cancer Treatments and Mutations 2
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- Advanced MRI Techniques and Applications 2
- Radiation Dose and Imaging 2
- Co-authors
- James L. Mulshine (1 shared paper)Susan G. Orel (2 shared papers)Carol Reynolds (1 shared paper)Rod J. Rohrich (4 shared papers)Nicole Kay (1 shared paper)Kevin C. Chung (2 shared papers)Felmont F. Eaves (1 shared paper)DeLaine Schmitz (1 shared paper)
- Journals
- Plastic & Reconstructive Surgery (4 papers)Investigative Radiology (2 papers)Radiology (2 papers)Academic Radiology (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Daniel Sullivan
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 331
- Pathology and Forensic Medicine 230
- Internal Medicine 45
- Cancer Research 177
- Pulmonary and Respiratory Medicine 291
Countries citing papers authored by Daniel Sullivan
This map shows the geographic impact of Daniel Sullivan'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 Daniel Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sullivan more than expected).
Fields of papers citing papers by Daniel Sullivan
This network shows the impact of papers produced by Daniel Sullivan. 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 Daniel Sullivan. The network helps show where Daniel Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sullivan, 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 | 2005 | 298 | |
| 2 | 1999 | 275 | |
| 3 | 2011 | 182 | |
| 4 | 2009 | 99 | |
| 5 | 1997 | 82 | |
| 6 | 1982 | 50 | |
| 7 | 1987 | 37 | |
| 8 | 2005 | 27 | |
| 9 | 1978 | 16 | |
| 10 | 2017 | 10 | |
| 11 | 1986 | 7 | |
| 12 | 2011 | 6 | |
| 13 | 1995 | 6 | |
| 14 | 1986 | 3 | |
| 15 | 1981 | 3 | |
| 16 | 1968 | 2 | |
| 17 | 2008 | 1 | |
| 18 | 1999 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2001 | 0 |
About Daniel Sullivan
Daniel Sullivan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty and Pathology and Forensic Medicine, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Pharmaceutical industry and healthcare (2 papers), Advanced MRI Techniques and Applications (2 papers), Radiation Dose and Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (331 citations), Pathology and Forensic Medicine (230 citations), Internal Medicine (45 citations), Cancer Research (177 citations) and Pulmonary and Respiratory Medicine (291 citations). Daniel Sullivan has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include James L. Mulshine, Susan G. Orel, Carol Reynolds, Rod J. Rohrich, Nicole Kay, Kevin C. Chung, Felmont F. Eaves, DeLaine Schmitz, Jennifer Swanson and Mitchell D. Schnall. Their work appears in journals such as Plastic & Reconstructive Surgery, Investigative Radiology, Radiology, Academic Radiology and Journal of Clinical 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.