Neil Yager
- Structural Biology top 2%
- Biophysics top 0.5%
- Media Technology top 2%
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- Cardiac Imaging and Diagnostics 4
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- Coronary Interventions and Diagnostics 4
- Cardiac Structural Anomalies and Repair 2
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- Antiplatelet Therapy and Cardiovascular Diseases 2
- Cardiac Arrhythmias and Treatments 2
- Acute Myocardial Infarction Research 2
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- Renal and Vascular Pathologies 2
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- Venous Thromboembolism Diagnosis and Management 2
- Co-authors
- Johannes L. SchönbergerEmmanuelle GouillartFrançois BoulogneStéfan van der WaltTony YuJoshua WarnerJuan Nunez-IglesiasMikhail Torosoff
- Journals
- Journal of the American College of Cardiology (2 papers)Catheterization and Cardiovascular Interventions (1 paper)Cardiovascular Drugs and Therapy (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Neil Yager
13 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Structural Biology 112
- Biophysics 371
- Computer Vision and Pattern Recognition 528
- Media Technology 186
- Radiology, Nuclear Medicine and Imaging 420
Countries citing papers authored by Neil Yager
This map shows the geographic impact of Neil Yager'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 Neil Yager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Yager more than expected).
Fields of papers citing papers by Neil Yager
This network shows the impact of papers produced by Neil Yager. 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 Neil Yager. The network helps show where Neil Yager may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil Yager, 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 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 0 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 2 | |
| 10 | 2019 | 0 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 0 | |
| 13 | 2017 | 6 | |
| 14 | 2017 | 1 | |
| 15 | 2015 | 9 | |
| 16 | scikit-image: image processing in Pythonbreakdown → | 2014 | 3913 |
| 17 | 2013 | 0 |
About Neil Yager
Neil Yager is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), Coronary Interventions and Diagnostics (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Renal and Vascular Pathologies (2 papers), Acute Myocardial Infarction Research (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Structural Biology (112 citations), Biophysics (371 citations) and Computer Vision and Pattern Recognition (528 citations). Neil Yager has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Johannes L. Schönberger, Emmanuelle Gouillart, François Boulogne, Stéfan van der Walt, Tony Yu, Joshua Warner, Juan Nunez-Iglesias, Mikhail Torosoff, Joshua Schulman‐Marcus and Ajay Sharma. Their work appears in journals such as Journal of the American College of Cardiology, Catheterization and Cardiovascular Interventions, Cardiovascular Drugs and Therapy, JACC: Cardiovascular Interventions and CHEST Journal.
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.