David Thayer
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 2
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- Radiology practices and education 2
- Peripheral Nerve Disorders 1
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Markus J. Buehler (1 shared paper)Jenny K. Hoang (2 shared papers)Mateusz Buda (2 shared papers)Benjamin Wildman‐Tobriner (2 shared papers)Maciej A. Mazurowski (2 shared papers)William Dana Middleton (2 shared papers)Franklin Neil Tessler (2 shared papers)Ryan G. Short (1 shared paper)
- Journals
- Radiology (2 papers)Hand Clinics (1 paper)Clinical Orthopaedics and Related Research (1 paper)Future Oncology (1 paper)Current Urology (1 paper)
- Partner nations
- United StatesIrelandBelarus
In The Last Decade
David Thayer
7 papers receiving 381 citations
Peers
Comparison fields: 5 of 42
- Health Informatics 47
- Endocrinology, Diabetes and Metabolism 201
- Radiology, Nuclear Medicine and Imaging 192
- Rehabilitation 40
- Surgery 116
Countries citing papers authored by David Thayer
This map shows the geographic impact of David Thayer'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 Thayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Thayer more than expected).
Fields of papers citing papers by David Thayer
This network shows the impact of papers produced by David Thayer. 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 Thayer. The network helps show where David Thayer may publish in the future.
Co-authors
The 20 scholars most cited alongside David Thayer, 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 | 2019 | 168 | |
| 2 | 2019 | 117 | |
| 3 | 1988 | 96 | |
| 4 | 1988 | 14 | |
| 5 | 2018 | 7 | |
| 6 | 2018 | 2 | |
| 7 | 2019 | 1 |
About David Thayer
David Thayer is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Rehabilitation and Rheumatology, having authored 7 papers that have together received 405 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Radiology practices and education (2 papers), Kidney Stones and Urolithiasis Treatments (1 paper), Peripheral Nerve Disorders (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Health Informatics (47 citations), Endocrinology, Diabetes and Metabolism (201 citations), Radiology, Nuclear Medicine and Imaging (192 citations), Rehabilitation (40 citations) and Surgery (116 citations). David Thayer has collaborated with scholars based in United States, Ireland and Belarus. Frequent co-authors include Markus J. Buehler, Jenny K. Hoang, Mateusz Buda, Benjamin Wildman‐Tobriner, Maciej A. Mazurowski, William Dana Middleton, Franklin Neil Tessler, Ryan G. Short, Yu Tao and Olaguoke Akinwande. Their work appears in journals such as Radiology, Hand Clinics, Clinical Orthopaedics and Related Research, Future Oncology and Current Urology.
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.