David Eng
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Cardiac Imaging and Diagnostics
- Radiation Dose and Imaging
Papers in
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- Radiation Dose and Imaging 3
- Cardiac Imaging and Diagnostics 3
- COVID-19 diagnosis using AI 1
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- Advanced X-ray and CT Imaging 3
- Co-authors
- Bhavik N. Patel (2 shared papers)Fátima Rodríguez (2 shared papers)Alexander T. Sandhu (2 shared papers)David J. Maron (2 shared papers)Nishith Khandwala (3 shared papers)Domenico Mastrodicasa (1 shared paper)Sujana Balla (1 shared paper)Quynh T. Phan (1 shared paper)
- Journals
- Journal of the American College of Cardiology (1 paper)Circulation (1 paper)mBio (1 paper)Journal of clinical lipidology (1 paper)Journal of Thoracic Imaging (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
David Eng
5 papers receiving 143 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 19
- Radiology, Nuclear Medicine and Imaging 76
- Cardiology and Cardiovascular Medicine 35
- Critical Care and Intensive Care Medicine 6
- Infectious Diseases 17
Countries citing papers authored by David Eng
This map shows the geographic impact of David Eng'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 Eng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Eng more than expected).
Fields of papers citing papers by David Eng
This network shows the impact of papers produced by David Eng. 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 Eng. The network helps show where David Eng may publish in the future.
Co-authors
The 25 scholars most cited alongside David Eng, 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 | 2022 | 67 | |
| 2 | 2013 | 38 | |
| 3 | 2023 | 28 | |
| 4 | 2021 | 9 | |
| 5 | 2024 | 4 |
About David Eng
David Eng is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Infectious Diseases, Pulmonary and Respiratory Medicine and Health Informatics, having authored 5 papers that have together received 146 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (3 papers), Advanced X-ray and CT Imaging (3 papers), Cardiac Imaging and Diagnostics (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), COVID-19 diagnosis using AI (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Fungal Infections and Studies (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (76 citations), Cardiology and Cardiovascular Medicine (35 citations), Critical Care and Intensive Care Medicine (6 citations) and Infectious Diseases (17 citations). David Eng has collaborated with scholars based in United States and France. Frequent co-authors include Bhavik N. Patel, Fátima Rodríguez, Alexander T. Sandhu, David J. Maron, Nishith Khandwala, Domenico Mastrodicasa, Sujana Balla, Quynh T. Phan, Pascale Cossart and Hyun‐Sook Park. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, mBio, Journal of clinical lipidology and Journal of Thoracic Imaging.
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.