John W. Garrett

4.0k total citations
109 papers, 2.0k citations indexed

About

John W. Garrett is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John W. Garrett has authored 109 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Biomedical Engineering and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John W. Garrett's work include Advanced X-ray and CT Imaging (29 papers), Medical Imaging Techniques and Applications (20 papers) and Radiation Dose and Imaging (14 papers). John W. Garrett is often cited by papers focused on Advanced X-ray and CT Imaging (29 papers), Medical Imaging Techniques and Applications (20 papers) and Radiation Dose and Imaging (14 papers). John W. Garrett collaborates with scholars based in United States, United Kingdom and Switzerland. John W. Garrett's co-authors include Paul W. Braunstein, Jochen Teizer, Guang‐Hong Chen, Ke Li, Perry J. Pickhardt, Douglas A. Drossman, Ronald M. Summers, Č. V. Stanojević, Yongshuai Ge and W. L. Brown and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Gastroenterology.

In The Last Decade

John W. Garrett

103 papers receiving 1.8k citations

Peers

John W. Garrett

RNMI

SURGE

PRM

Aaron Miller United States

John Butler United States

Michael J. Walsh France

Marcus J. Kitchen Australia

Markus Huber Switzerland

Bob Liu United States

Michael J. Harrison United States

Robin O. Cleveland United States

Russell J. Hamilton United States

Douglas R. Hamilton United States

Aaron Miller United States

John W. Garrett

176 ×0.4

RNMI

182 ×0.5

76 ×0.2

SURGE

25 ×0.1

PRM

650 ×3.4

Citations per year, relative to John W. Garrett John W. Garrett (= 1×) peers Aaron Miller

Countries citing papers authored by John W. Garrett

Since Specialization

Citations

This map shows the geographic impact of John W. Garrett'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 John W. Garrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Garrett more than expected).

Fields of papers citing papers by John W. Garrett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Garrett. 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 John W. Garrett. The network helps show where John W. Garrett may publish in the future.

Co-authorship network of co-authors of John W. Garrett

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Garrett. A scholar is included among the top collaborators of John W. Garrett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John W. Garrett. John W. Garrett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Matthew H., et al.. (2025). CT Biomarkers for Phenotypic Biological Aging: Emerging Concepts and Advantages. Radiographics. 45(8). e250007–e250007. 1 indexed citations

Gao, Jifan, Kyle A. Carey, Dana P. Edelson, et al.. (2025). Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study. PubMed. 4. e67144–e67144. 1 indexed citations

Pickhardt, Perry J., Michael W. Kattan, Matthew H. Lee, et al.. (2025). Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity. Nature Communications. 16(1). 1432–1432. 5 indexed citations

Burnside, Elizabeth S., Thomas M. Grist, Michael Lasarev, John W. Garrett, & Elizabeth A. Morris. (2025). Artificial Intelligence in Radiology: A Leadership Survey. Journal of the American College of Radiology. 22(5). 577–585. 2 indexed citations

Warner, Joshua, Glen M. Blake, John W. Garrett, et al.. (2024). Correlation of HbA1c levels with CT-based body composition biomarkers in diabetes mellitus and metabolic syndrome. Scientific Reports. 14(1). 21875–21875. 2 indexed citations

Zhang, Jinnian, Xiaomin Zhang, Po‐Ling Loh, et al.. (2024). BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation. Tomography. 10(12). 2058–2072. 2 indexed citations

Pickhardt, Perry J., Ronald M. Summers, John W. Garrett, et al.. (2023). Opportunistic Screening: Radiology Scientific Expert Panel. Radiology. 307(5). e222044–e222044. 51 indexed citations

Garrett, John W., et al.. (2022). Vertebral Artery Tortuosity and Morphometric Characteristics of Patients with Recurrent Cervical Artery Dissection. Journal of Stroke and Cerebrovascular Diseases. 31(5). 106346–106346. 3 indexed citations

Pickhardt, Perry J., Alberto A. Perez, Peter M. Graffy, et al.. (2022). Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool. Radiology Artificial Intelligence. 4(5). e220042–e220042. 43 indexed citations

10.

Lee, Matthew H., Ryan Zea, John W. Garrett, et al.. (2022). Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse Outcomes. Radiology. 306(2). e220574–e220574. 26 indexed citations

11.

Perez, Alberto A., Meghan G. Lubner, Peter M. Graffy, et al.. (2021). Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly. Radiology. 302(2). 336–342. 25 indexed citations

12.

Voter, Andrew F., Matthew Larson, John W. Garrett, & John‐Paul J. Yu. (2021). Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Cervical Spine Fractures. American Journal of Neuroradiology. 42(8). 1550–1556. 54 indexed citations

13.

Tie, Xin, Zhihua Qi, Nicholas Bevins, et al.. (2020). Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence. Radiology. 298(2). E88–E97. 95 indexed citations

14.

Li, Yinsheng, John W. Garrett, Ke Li, Charles M. Strother, & Guang‐Hong Chen. (2019). An Enhanced SMART-RECON Algorithm for Time-Resolved C-Arm Cone-Beam CT Imaging. IEEE Transactions on Medical Imaging. 39(6). 1894–1905. 5 indexed citations

15.

Li, Yinsheng, John W. Garrett, Ke Li, et al.. (2018). Time-resolved C-arm cone beam CT angiography (TR-CBCTA) imaging from a single short-scan C-arm cone beam CT acquisition with intra-arterial contrast injection. Physics in Medicine and Biology. 63(7). 75001–75001. 9 indexed citations

16.

Garrett, John W., Yinsheng Li, Ke Li, et al.. (2018). Quantification of temporal resolution improvement factor in SMART-RECON based time-resolved C-arm Cone beam computed tomography angiography (TR-CBCTA). Physics in Medicine and Biology. 63(19). 19NT02–19NT02. 1 indexed citations

17.

Li, Ke, John W. Garrett, Yongshuai Ge, & Guang‐Hong Chen. (2014). Statistical model based iterative reconstruction (MBIR) in clinical CT systems. Part II. Experimental assessment of spatial resolution performance. Medical Physics. 41(7). 71911–71911. 80 indexed citations

18.

Boring, J. W., John W. Garrett, Edwin M. Sieveka, et al.. (1983). Sputter-Induced Atmosphere and Molecular Ejection on IO. LPI. 61–62. 2 indexed citations

19.

Garrett, John W., et al.. (1969). DEVELOPMENT OF IMPROVED METHODS FOR REDUCTION OF TRAFFIC ACCIDENTS. National Cooperative Highway Research Program report. 4 indexed citations

20.

Garrett, John W., et al.. (1968). A study of Volkswagen accidents in the United States. Journal of Safety Research. 1(3). 115–126. 2 indexed citations

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.

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