Peter M. Graffy

2.4k total citations · 1 hit paper
32 papers, 1.7k citations indexed

About

Peter M. Graffy is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peter M. Graffy has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peter M. Graffy's work include Liver Disease Diagnosis and Treatment (10 papers), Bone health and osteoporosis research (7 papers) and Nutrition and Health in Aging (5 papers). Peter M. Graffy is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Bone health and osteoporosis research (7 papers) and Nutrition and Health in Aging (5 papers). Peter M. Graffy collaborates with scholars based in United States, Switzerland and Italy. Peter M. Graffy's co-authors include Perry J. Pickhardt, Ronald M. Summers, Scott Lee, Ryan Zea, Timothy J. Ziemlewicz, Veit Sandfort, Samuel Jang, Jiamin Liu, Alberto A. Perez and Stacy D. O’Connor and has published in prestigious journals such as Radiology, Journal of Bone and Mineral Research and American Journal of Roentgenology.

In The Last Decade

Peter M. Graffy

31 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults

2019 217 citations Samuel Jang, Peter M. Graffy et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter M. Graffy United States	22	675	438	401	384	343	32	1.7k
Alexander Sevrukov United States	11	655 1.0×	223 0.5×	354 0.9×	98 0.3×	45 0.1×	23	1.3k
Andrew Davies United Kingdom	19	255 0.4×	66 0.2×	903 2.3×	59 0.2×	240 0.7×	84	1.6k
Eva V. Chomka United States	18	1.3k 1.9×	470 1.1×	796 2.0×	164 0.4×	52 0.2×	29	2.4k
Brian A. Derstine United States	15	100 0.1×	31 0.1×	325 0.8×	52 0.1×	583 1.7×	48	990
Jeong Ho Kim South Korea	18	154 0.2×	73 0.2×	314 0.8×	38 0.1×	149 0.4×	96	935
Sandip Zalawadiya United States	21	103 0.2×	405 0.9×	759 1.9×	16 0.0×	54 0.2×	89	1.7k
Fu‐Zong Wu Taiwan	21	455 0.7×	101 0.2×	209 0.5×	24 0.1×	34 0.1×	76	1.0k
Stefano Pedri Italy	8	992 1.5×	116 0.3×	359 0.9×	32 0.1×	51 0.1×	15	2.3k
John M. Barlow United States	24	315 0.5×	172 0.4×	1.2k 3.0×	32 0.1×	28 0.1×	59	2.2k
E. McCloskey United Kingdom	8	80 0.1×	79 0.2×	1.1k 2.8×	1.9k 4.9×	186 0.5×	9	2.3k

Countries citing papers authored by Peter M. Graffy

Since Specialization

Citations

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

Fields of papers citing papers by Peter M. Graffy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Graffy. 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 Peter M. Graffy. The network helps show where Peter M. Graffy may publish in the future.

Co-authorship network of co-authors of Peter M. Graffy

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Graffy. A scholar is included among the top collaborators of Peter M. Graffy 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 Peter M. Graffy. Peter M. Graffy 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

Graffy, Peter M., Corinne H. Miller, Chuxuan Li, et al.. (2024). Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review. GeoHealth. 8(9). e2024GH001071–e2024GH001071. 2 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

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

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

Graffy, Peter M., Ronald M. Summers, Alberto A. Perez, et al.. (2021). Automated assessment of longitudinal biomarker changes at abdominal CT: correlation with subsequent cardiovascular events in an asymptomatic adult screening cohort. Abdominal Radiology. 46(6). 2976–2984. 8 indexed citations

Olson, Sydney L., Martha-Conley E. Ingram, Peter M. Graffy, et al.. (2021). Effect of surgeon volume on pediatric thyroid surgery outcomes: A systematic review. Journal of Pediatric Surgery. 57(9). 208–215. 11 indexed citations

Lubner, Meghan G., et al.. (2021). Utility of Multiparametric CT for Identification of High-Risk NAFLD. American Journal of Roentgenology. 216(3). 659–668. 14 indexed citations

Pickhardt, Perry J., Peter M. Graffy, Alberto A. Perez, et al.. (2021). Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value. Radiographics. 41(2). 524–542. 78 indexed citations

Pickhardt, Perry J., Peter M. Graffy, Ryan Zea, et al.. (2020). Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study. The Lancet Digital Health. 2(4). e192–e200. 127 indexed citations

10.

Summers, Ronald M., Daniel C. Elton, Sungwon Lee, et al.. (2020). Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans. Academic Radiology. 28(11). 1491–1499. 32 indexed citations

11.

Pickhardt, Perry J., Glen M. Blake, Peter M. Graffy, et al.. (2020). Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard. American Journal of Roentgenology. 217(2). 359–367. 44 indexed citations

12.

Pickhardt, Perry J., Peter M. Graffy, Ryan Zea, et al.. (2020). Utilizing Fully Automated Abdominal CT–Based Biomarkers for Opportunistic Screening for Metabolic Syndrome in Adults Without Symptoms. American Journal of Roentgenology. 216(1). 85–92. 45 indexed citations

13.

Graffy, Peter M., Jiamin Liu, Stacy D. O’Connor, Ronald M. Summers, & Perry J. Pickhardt. (2019). Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort. Abdominal Radiology. 44(8). 2921–2928. 64 indexed citations

14.

Graffy, Peter M., Jiamin Liu, Perry J. Pickhardt, et al.. (2019). Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment. British Journal of Radiology. 92(1100). 20190327–20190327. 106 indexed citations

15.

Jang, Samuel, Peter M. Graffy, Timothy J. Ziemlewicz, et al.. (2019). Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults. Radiology. 291(2). 360–367. 217 indexed citations breakdown →

16.

Graffy, Peter M., Veit Sandfort, Ronald M. Summers, & Perry J. Pickhardt. (2019). Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment. Radiology. 293(2). 334–342. 104 indexed citations

17.

Pickhardt, Perry J., Scott Lee, Jiamin Liu, et al.. (2018). Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes. British Journal of Radiology. 92(1094). 20180726–20180726. 65 indexed citations

18.

Kupfer, Sonia S., Sam Joseph Lubner, Emmanuel Coronel, et al.. (2018). Adherence to postresection colorectal cancer surveillance at National Cancer Institute‐designated Comprehensive Cancer Centers. Cancer Medicine. 7(11). 5351–5358. 17 indexed citations

19.

Graffy, Peter M., Perry J. Pickhardt, Meghan G. Lubner, et al.. (2017). Pulmonary Intraparenchymal Blood Patching Decreases the Rate of Pneumothorax-Related Complications following Percutaneous CT–Guided Needle Biopsy. Journal of Vascular and Interventional Radiology. 28(4). 608–613.e1. 31 indexed citations

20.

Graffy, Peter M. & Perry J. Pickhardt. (2016). Quantification of hepatic and visceral fat by CT and MR imaging: relevance to the obesity epidemic, metabolic syndrome and NAFLD. British Journal of Radiology. 89(1062). 20151024–20151024. 84 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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