Gary R. Schooler

679 total citations
47 papers, 362 citations indexed

About

Gary R. Schooler is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Gary R. Schooler has authored 47 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Epidemiology. Recurrent topics in Gary R. Schooler's work include Pediatric Hepatobiliary Diseases and Treatments (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Ultrasound in Clinical Applications (5 papers). Gary R. Schooler is often cited by papers focused on Pediatric Hepatobiliary Diseases and Treatments (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Ultrasound in Clinical Applications (5 papers). Gary R. Schooler collaborates with scholars based in United States, Canada and Philippines. Gary R. Schooler's co-authors include Joseph T. Davis, Edward Y. Lee, Nathan C. Hull, Geetika Khanna, Neha Kwatra, Alexander J. Towbin, Judy Squires, Govind B. Chavhan, Donald P. Frush and Heike E. Daldrup‐Link and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Radiographics.

In The Last Decade

Gary R. Schooler

37 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gary R. Schooler United States 11 121 103 67 56 54 47 362
Judy Squires United States 14 284 2.3× 87 0.8× 67 1.0× 98 1.8× 106 2.0× 52 520
Amir Hossein Jalali Iran 12 85 0.7× 83 0.8× 32 0.5× 30 0.5× 54 1.0× 41 427
Lee Alexander Grant United Kingdom 13 257 2.1× 74 0.7× 177 2.6× 110 2.0× 44 0.8× 29 494
Olivier Pellet Austria 11 181 1.5× 150 1.5× 139 2.1× 38 0.7× 23 0.4× 23 447
Sinéad H. McEvoy Ireland 12 121 1.0× 72 0.7× 191 2.9× 75 1.3× 47 0.9× 27 406
Ryota Shimofusa Japan 11 58 0.5× 237 2.3× 175 2.6× 52 0.9× 56 1.0× 14 428
Seng Thipphavong Canada 13 236 2.0× 148 1.4× 139 2.1× 44 0.8× 31 0.6× 30 470
Suvipapun Worawattanakul United States 12 176 1.5× 150 1.5× 99 1.5× 105 1.9× 117 2.2× 17 429
Rodrigo Gobbo Garcia Brazil 12 142 1.2× 97 0.9× 241 3.6× 48 0.9× 55 1.0× 83 471
Ejona Duka Italy 13 199 1.6× 83 0.8× 198 3.0× 45 0.8× 48 0.9× 26 442

Countries citing papers authored by Gary R. Schooler

Since Specialization
Citations

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

Fields of papers citing papers by Gary R. Schooler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary R. Schooler. 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 Gary R. Schooler. The network helps show where Gary R. Schooler may publish in the future.

Co-authorship network of co-authors of Gary R. Schooler

This figure shows the co-authorship network connecting the top 25 collaborators of Gary R. Schooler. A scholar is included among the top collaborators of Gary R. Schooler 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 Gary R. Schooler. Gary R. Schooler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Viswanathan, Vidya Sankar, Cara E. Morin, Mitchell A. Rees, et al.. (2026). Pediatric Personalized Deep Learning Models for Segmentation of Hepatoblastoma at CT and MRI. Radiology Imaging Cancer. 8(2). e250041–e250041.
2.
Lala, Shailee, Erica L. Riedesel, Gary R. Schooler, et al.. (2025). Magnetic resonance cholangiopancreatography for suspected cholangiopathy in children and young adults: a multi-reader agreement study. Pediatric Radiology. 55(3). 479–487.
3.
Reddy, Surendranath Veeram, et al.. (2025). The Importance of Hepatic Surveillance After Single-Ventricle Palliation: An Interventional Study Validating Liver Elastography. Pediatric Cardiology. 47(2). 858–868.
4.
5.
Kolbe, Amy B., Michael R. Acord, Geetika Khanna, et al.. (2024). Imaging Findings and Management Strategies for Liver Masses in Children with Predisposition Disorders: A Review by the Pediatric LI-RADS Group. Radiographics. 45(1). e240063–e240063.
6.
Morin, Cara E., Amy B. Kolbe, Adina Alazraki, et al.. (2023). Cancer Therapy–related Hepatic Injury in Children: Imaging Review from the Pediatric LI-RADS Working Group. Radiographics. 43(9). e230007–e230007. 2 indexed citations
7.
Chavhan, Govind B., Gary R. Schooler, Judy Squires, et al.. (2022). Optimizing Imaging of Pediatric Liver Lesions: Guidelines from the Pediatric LI-RADS Working Group. Radiographics. 43(1). e220043–e220043. 5 indexed citations
8.
Friedman, Jonathan R., Gary R. Schooler, Jeannie K. Kwon, & Maddy Artunduaga. (2022). Pediatric electronic cigarette or vaping product use–associated lung injury (EVALI): updates in the coronavirus disease 2019 (COVID-19) pandemic era. Pediatric Radiology. 52(10). 2009–2016. 3 indexed citations
9.
Schooler, Gary R., Joseph P. Cravero, & Michael J. Callahan. (2021). Assessing and conveying risks and benefits of imaging in neonates using ionizing radiation and sedation/anesthesia. Pediatric Radiology. 52(4). 616–621. 6 indexed citations
10.
Artunduaga, Maddy, et al.. (2021). Hepatic manifestations of systemic disease: an imaging-based review. Pediatric Radiology. 52(5). 852–864.
11.
Schooler, Gary R., et al.. (2021). Introducing @RadG_Editor: Your New Twitter Follow in the Era of Digital #MedEd. Radiographics. 41(7). E196–E197. 2 indexed citations
12.
Khanna, Geetika, Govind B. Chavhan, Gary R. Schooler, et al.. (2021). Diagnostic Performance of LI-RADS Version 2018 for Evaluation of Pediatric Hepatocellular Carcinoma. Radiology. 299(1). 190–199. 16 indexed citations
13.
14.
Samei, Ehsan, Alaattin Erkanli, Bohui Zhang, et al.. (2019). A Simulation Paradigm for Evaluation of Subtle Liver Lesions at Pediatric CT: Performance and Confidence. Radiology Imaging Cancer. 1(1). e190027–e190027. 2 indexed citations
15.
Schooler, Gary R., et al.. (2019). Epiconmusculoskeletal imaging in children: What the general radiologist should know. Applied Radiology. 48(2). 6–14.
16.
Young, Sarah P., Stephanie Austin, Deeksha Bali, et al.. (2019). Liver fibrosis during clinical ascertainment of glycogen storage disease type III: a need for improved and systematic monitoring. Genetics in Medicine. 21(12). 2686–2694. 29 indexed citations
17.
Hull, Nathan C., Gary R. Schooler, & Edward Y. Lee. (2019). Hepatobiliary MR Imaging in Children:. Magnetic Resonance Imaging Clinics of North America. 27(2). 263–278. 1 indexed citations
18.
Schooler, Gary R., Joseph T. Davis, Heike E. Daldrup‐Link, & Donald P. Frush. (2018). Current utilization and procedural practices in pediatric whole-body MRI. Pediatric Radiology. 48(8). 1101–1107. 26 indexed citations
19.
Swenson, David W., Gary R. Schooler, Catherine Stamoulis, & Edward Y. Lee. (2016). MRI of the normal appendix in children: data toward a new reference standard. Pediatric Radiology. 46(7). 1003–1010. 10 indexed citations
20.
Thacker, Paul G., Gary R. Schooler, Michael J. Caplan, & Edward Y. Lee. (2015). Developmental Lung Malformations in Children. Journal of Thoracic Imaging. 30(1). 29–45. 11 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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