David Yankelevitz
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- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 2
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- Lung Cancer Diagnosis and Treatment 8
- Lung Cancer Treatments and Mutations 5
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- Cytokine Signaling Pathways and Interactions 1
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- Head and Neck Surgical Oncology 1
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- Teleoperation and Haptic Systems 1
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- Hepatocellular Carcinoma Treatment and Prognosis 1
- Co-authors
- Anthony P. ReevesMichael F. McNitt‐GrayLaurence P. ClarkeElla A. KazerooniHeber MacMahonBarbara Y. CroftGeoffrey McLennanCharles R. Meyer
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineHealth Informatics
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Yankelevitz
13 papers receiving 594 citations
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 312
- Pulmonary and Respiratory Medicine 411
- Health Informatics 6
- Oncology 119
- Cancer Research 57
Countries citing papers authored by David Yankelevitz
This map shows the geographic impact of David Yankelevitz'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 Yankelevitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Yankelevitz more than expected).
Fields of papers citing papers by David Yankelevitz
This network shows the impact of papers produced by David Yankelevitz. 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 Yankelevitz. The network helps show where David Yankelevitz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Yankelevitz, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2019 | 105 | |
| 4 | Abstract 12003: Effects of Iterative Reconstruction on Coronary Artery Calcium Scoring | 2012 | 1 |
| 5 | 2010 | 84 | |
| 6 | 2010 | 1 | |
| 7 | 2009 | 28 | |
| 8 | 2008 | 28 | |
| 9 | 2008 | 19 | |
| 10 | 2008 | 15 | |
| 11 | 2008 | 14 | |
| 12 | 2007 | 40 | |
| 13 | 2007 | 8 | |
| 14 | 2004 | 276 |
About David Yankelevitz
David Yankelevitz is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 14 papers that have together received 622 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Head and Neck Surgical Oncology (1 paper), Teleoperation and Haptic Systems (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (312 citations), Pulmonary and Respiratory Medicine (411 citations) and Health Informatics (6 citations). David Yankelevitz has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Anthony P. Reeves, Michael F. McNitt‐Gray, Laurence P. Clarke, Ella A. Kazerooni, Heber MacMahon, Barbara Y. Croft, Geoffrey McLennan, Charles R. Meyer, Samuel G. Armato and Claudia I. Henschke. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Cancer Research.
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.