Evan J. Zucker
- Health Informatics top 2%
- Internal Medicine top 5%
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- Radiation Dose and Imaging 8
- Advanced MRI Techniques and Applications 6
- COVID-19 diagnosis using AI 4
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- Ultrasound in Clinical Applications 6
- Toxicology top 10%
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- Congenital Heart Disease Studies 8
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- Congenital Diaphragmatic Hernia Studies 4
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- Aortic aneurysm repair treatments 4
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- Advanced X-ray and CT Imaging 4
- Co-authors
- Jerry AvornDaniel CarpenterAnand M. PrabhakarShreyas VasanawalaBrian GhoshhajraSuvranu GanguliAya KinoEdward Y. Lee
- Journals
- American Journal of Roentgenology (5 papers)Radiology (3 papers)Radiologic Clinics of North America (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Evan J. Zucker
46 papers receiving 842 citations
Peers
Comparison fields: 5 of 119
- Health Informatics 54
- Internal Medicine 68
- Radiology, Nuclear Medicine and Imaging 261
- Critical Care and Intensive Care Medicine 51
- Toxicology 23
Countries citing papers authored by Evan J. Zucker
This map shows the geographic impact of Evan J. Zucker'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 Evan J. Zucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan J. Zucker more than expected).
Fields of papers citing papers by Evan J. Zucker
This network shows the impact of papers produced by Evan J. Zucker. 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 Evan J. Zucker. The network helps show where Evan J. Zucker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Evan J. Zucker, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 8 | |
| 5 | Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays. | 2021 | 2 |
| 6 | Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays | 2021 | 0 |
| 7 | 2021 | 10 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 140 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 28 | |
| 13 | 2018 | 59 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 2 | |
| 16 | 2017 | 11 | |
| 17 | 2015 | 8 | |
| 18 | 2012 | 9 | |
| 19 | 2012 | 14 | |
| 20 | Drug Review Deadlines and Subsequent Safety Problems | 2008 | 1 |
About Evan J. Zucker
Evan J. Zucker is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 52 papers that have together received 865 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (8 papers), Radiation Dose and Imaging (8 papers), Ultrasound in Clinical Applications (6 papers), Advanced MRI Techniques and Applications (6 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Aortic aneurysm repair treatments (4 papers), COVID-19 diagnosis using AI (4 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Health Informatics (54 citations), Internal Medicine (68 citations) and Radiology, Nuclear Medicine and Imaging (261 citations). Evan J. Zucker has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Jerry Avorn, Daniel Carpenter, Anand M. Prabhakar, Shreyas Vasanawala, Brian Ghoshhajra, Suvranu Ganguli, Aya Kino, Edward Y. Lee, Safwan S. Halabi and Jayne Seekins. Their work appears in journals such as American Journal of Roentgenology, Radiology, Radiologic Clinics of North America, Journal of Magnetic Resonance Imaging and International journal of cardiac 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.