Jonathan B. Moody

2.2k total citations
52 papers, 1.6k citations indexed

About

Jonathan B. Moody is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jonathan B. Moody has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Biomedical Engineering and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jonathan B. Moody's work include Cardiac Imaging and Diagnostics (31 papers), Medical Imaging Techniques and Applications (28 papers) and Advanced MRI Techniques and Applications (25 papers). Jonathan B. Moody is often cited by papers focused on Cardiac Imaging and Diagnostics (31 papers), Medical Imaging Techniques and Applications (28 papers) and Advanced MRI Techniques and Applications (25 papers). Jonathan B. Moody collaborates with scholars based in United States, Canada and United Kingdom. Jonathan B. Moody's co-authors include Yang Xia, Hisham A. Alhadlaq, G. Lust, Nancy Burton‐Wurster, Edward P. Ficaro, Venkatesh L. Murthy, Patrick McConville, Bradford A. Moffat, Brian D. Ross and Alnawaz Rehemtulla and has published in prestigious journals such as Clinical Cancer Research, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Jonathan B. Moody

47 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan B. Moody United States	18	710	626	424	254	244	52	1.6k
Stephan Metz Germany	20	701 1.0×	540 0.9×	63 0.1×	157 0.6×	175 0.7×	30	1.6k
Huadan Xue China	22	374 0.5×	642 1.0×	116 0.3×	325 1.3×	296 1.2×	101	1.7k
Peter R. Seevinck Netherlands	25	1.1k 1.5×	567 0.9×	67 0.2×	280 1.1×	189 0.8×	91	1.9k
Franci Demšar Slovenia	20	539 0.8×	341 0.5×	196 0.5×	86 0.3×	36 0.1×	53	1.4k
Robert L. Satcher United States	25	120 0.2×	431 0.7×	215 0.5×	566 2.2×	329 1.3×	67	2.1k
Hilda E. Stambuk United States	24	861 1.2×	173 0.3×	155 0.4×	498 2.0×	102 0.4×	44	2.1k
Daniel Golovko United States	19	151 0.2×	361 0.6×	195 0.5×	127 0.5×	193 0.8×	21	917
Wesley D. Gilson United States	29	1.5k 2.1×	727 1.2×	76 0.2×	873 3.4×	282 1.2×	62	3.0k
Xubin Li China	23	344 0.5×	157 0.3×	66 0.2×	166 0.7×	307 1.3×	65	1.6k
Yanjun Fu United States	18	391 0.6×	223 0.4×	51 0.1×	82 0.3×	172 0.7×	39	970

Countries citing papers authored by Jonathan B. Moody

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan B. Moody

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan B. Moody. 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 Jonathan B. Moody. The network helps show where Jonathan B. Moody may publish in the future.

Co-authorship network of co-authors of Jonathan B. Moody

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan B. Moody. A scholar is included among the top collaborators of Jonathan B. Moody 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 Jonathan B. Moody. Jonathan B. Moody 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

Moody, Jonathan B., Alexis Poitrasson-Rivière, Jennifer M. Renaud, et al.. (2025). A Foundation Transformer Model with Self-Supervised Learning for ECG-Based Assessment of Cardiac and Coronary Function. NEJM AI. 2(12).

Packard, René R. Sevag, Robert A. deKemp, Juhani Knuuti, et al.. (2025). Quantitative approaches to 18F-flurpiridaz positron emission tomography image analysis. Journal of Nuclear Cardiology. 45. 102180–102180. 2 indexed citations

Renaud, Jennifer M., Jonathan B. Moody, Alexis Poitrasson-Rivière, et al.. (2025). Improved diagnostic performance of 18F-flurpiridaz positron emission tomography myocardial blood flow quantification with automated dynamic motion correction. Journal of Nuclear Cardiology. 52. 102450–102450. 1 indexed citations

Renaud, Jennifer M., Mouaz H. Al‐Mallah, Prem Soman, et al.. (2024). How to differentiate obstructive from non-obstructive CAD with PET: Developments in high-resolution regional quantification of MBF and MFR. Journal of Nuclear Cardiology. 41. 102023–102023.

Alahdab, Fares, Maliazurina B. Saad, Ahmed Ibrahim Ahmed, et al.. (2024). Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients’ electrocardiograms. Cell Reports Medicine. 5(10). 101746–101746. 5 indexed citations

Poitrasson-Rivière, Alexis, Jonathan B. Moody, Jennifer M. Renaud, et al.. (2023). Integrated myocardial flow reserve (iMFR) assessment: optimized PET blood flow quantification for diagnosis of coronary artery disease. European Journal of Nuclear Medicine and Molecular Imaging. 51(1). 136–146. 6 indexed citations

Moody, Jonathan B., Alexis Poitrasson-Rivière, Jennifer M. Renaud, et al.. (2022). Multi-center, multi-vendor validation of deep learning-based attenuation correction in SPECT MPI: data from the international flurpiridaz-301 trial. European Journal of Nuclear Medicine and Molecular Imaging. 50(4). 1028–1033. 10 indexed citations

Yang, Bao, et al.. (2021). Dictionary Learning Constrained Direct Parametric Estimation in Dynamic Myocardial Perfusion PET. IEEE Transactions on Medical Imaging. 40(12). 3485–3497. 4 indexed citations

Poitrasson-Rivière, Alexis, Jonathan B. Moody, Jennifer M. Renaud, et al.. (2021). Impact of residual subtraction on myocardial blood flow and reserve estimates from rapid dynamic PET protocols. Journal of Nuclear Cardiology. 29(5). 2262–2270. 9 indexed citations

10.

Renaud, Jennifer M., et al.. (2021). Myocardial flow reserve estimation with contemporary CZT-SPECT and 99mTc-tracers lacks precision for routine clinical application. Journal of Nuclear Cardiology. 29(5). 2078–2089. 11 indexed citations

11.

Moody, Jonathan B., Alexis Poitrasson-Rivière, Christopher Buckley, et al.. (2020). Added value of myocardial blood flow using 18F-flurpiridaz PET to diagnose coronary artery disease: The flurpiridaz 301 trial. Journal of Nuclear Cardiology. 28(5). 2313–2329. 44 indexed citations

12.

Poitrasson-Rivière, Alexis, et al.. (2020). Quantification of Cardiac Dyssynchrony Entropy Implemented in a Commercial Nuclear Medicine Software Application. Nuclear Technology. 206(7). 977–983.

13.

Moody, Jonathan B., Benjamin C. Lee, Alexis Poitrasson-Rivière, et al.. (2019). The utility of 82Rb PET for myocardial viability assessment: Comparison with perfusion-metabolism 82Rb-18F-FDG PET. Journal of Nuclear Cardiology. 26(2). 374–386. 13 indexed citations

14.

Poitrasson-Rivière, Alexis, Jonathan B. Moody, Richard L. Weinberg, et al.. (2019). Reducing motion-correction-induced variability in 82rubidium myocardial blood-flow quantification. Journal of Nuclear Cardiology. 27(4). 1104–1113. 11 indexed citations

15.

Garcia, Ernest, Piotr J. Slomka, Jonathan B. Moody, Guido Germano, & Edward P. Ficaro. (2019). Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications. Journal of Nuclear Medicine. 60(11). 1507–1516. 16 indexed citations

16.

Renaud, Jennifer M., Jean Guimond, Mikaël Trottier, et al.. (2016). Characterization of 3-Dimensional PET Systems for Accurate Quantification of Myocardial Blood Flow. Journal of Nuclear Medicine. 58(1). 103–109. 44 indexed citations

17.

Moody, Jonathan B., et al.. (2016). Limitations of Rb-82 weight-adjusted dosing accuracy at low doses. Journal of Nuclear Cardiology. 24(4). 1395–1401. 5 indexed citations

18.

Moody, Jonathan B., Benjamin C. Lee, James R. Corbett, Edward P. Ficaro, & Venkatesh L. Murthy. (2015). Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective. Journal of Nuclear Cardiology. 22(5). 935–951. 39 indexed citations

19.

Xia, Yang, Jonathan B. Moody, Hisham A. Alhadlaq, Nancy Burton‐Wurster, & G. Lust. (2002). Characteristics of topographical heterogeneity of articular cartilage over the joint surface of a humeral head. Osteoarthritis and Cartilage. 10(5). 370–380. 42 indexed citations

20.

Xia, Yang, Jonathan B. Moody, Nancy Burton‐Wurster, & G. Lust. (2001). Quantitative correlation between microscopic MRI and polarized light microscopy studies of articular cartilage. Osteoarthritis and Cartilage. 9(5). 393–406. 221 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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