David Thickman
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- Advanced MRI Techniques and Applications 10
- MRI in cancer diagnosis 9
- Radiomics and Machine Learning in Medical Imaging 6
- Cardiac Imaging and Diagnostics 4
- Pathology and Forensic Medicine top 0.5%
- Cancer Research top 2%
- Dermatology top 2%
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- Prostate Cancer Diagnosis and Treatment 4
- Prostate Cancer Treatment and Research 4
- Lung Cancer Diagnosis and Treatment 3
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- Atomic and Subatomic Physics Research 3
- Co-authors
- Mark A. DennisA. Thomas StavrosSteve H. ParkerGale A. SisneyStuart J. SchnittConstantine GatsonisPaul T. WeatherallEtta D. Pisano
- Journals
- American Journal of Roentgenology (8 papers)Radiology (8 papers)Journal of Ultrasound in Medicine (7 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
David Thickman
60 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Radiology, Nuclear Medicine and Imaging 1.8k
- Pathology and Forensic Medicine 1.2k
- Cancer Research 687
- Critical Care and Intensive Care Medicine 134
- Dermatology 224
Countries citing papers authored by David Thickman
This map shows the geographic impact of David Thickman'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 David Thickman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Thickman more than expected).
Fields of papers citing papers by David Thickman
This network shows the impact of papers produced by David Thickman. 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 David Thickman. The network helps show where David Thickman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Thickman, 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 | 2013 | 6 | |
| 2 | 2009 | 7 | |
| 3 | 2006 | 390 | |
| 4 | 2005 | 110 | |
| 5 | 2005 | 290 | |
| 6 | 1995 | 16 | |
| 7 | Solid breast nodules: use of sonography to distinguish between benign and malignant lesions.breakdown → | 1995 | 1312 |
| 8 | 1992 | 11 | |
| 9 | 1991 | 7 | |
| 10 | 1991 | 34 | |
| 11 | 1991 | 23 | |
| 12 | 1990 | 82 | |
| 13 | 1990 | 3 | |
| 14 | 1990 | 17 | |
| 15 | 1990 | 23 | |
| 16 | 1990 | 11 | |
| 17 | 1990 | 27 | |
| 18 | 1989 | 7 | |
| 19 | 1985 | 3 | |
| 20 | 1985 | 49 |
About David Thickman
David Thickman is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cardiac Imaging and Diagnostics (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Atomic and Subatomic Physics Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Pathology and Forensic Medicine (1.2k citations) and Cancer Research (687 citations). David Thickman has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Mark A. Dennis, A. Thomas Stavros, Steve H. Parker, Gale A. Sisney, Stuart J. Schnitt, Constantine Gatsonis, Paul T. Weatherall, Etta D. Pisano, Jeffrey D. Blume and Mitchell D. Schnall. Their work appears in journals such as American Journal of Roentgenology, Radiology, Journal of Ultrasound in Medicine, Journal of Computer Assisted Tomography and Investigative 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.