Edward J. Miller

25.2k total citations · 5 hit papers
294 papers, 16.4k citations indexed

About

Edward J. Miller is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomaterials. According to data from OpenAlex, Edward J. Miller has authored 294 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 78 papers in Radiology, Nuclear Medicine and Imaging and 53 papers in Biomaterials. Recurrent topics in Edward J. Miller's work include Cardiac Imaging and Diagnostics (53 papers), Collagen: Extraction and Characterization (50 papers) and Cell Adhesion Molecules Research (43 papers). Edward J. Miller is often cited by papers focused on Cardiac Imaging and Diagnostics (53 papers), Collagen: Extraction and Characterization (50 papers) and Cell Adhesion Molecules Research (43 papers). Edward J. Miller collaborates with scholars based in United States, Canada and Switzerland. Edward J. Miller's co-authors include R. Kent Rhodes, Steffen Gay, Karl A. Piez, Margaret S. Vail, Richard Mayne, George R. Martin, Eva Engvall, Lawrence H. Young, Erkki Ruoslahti and Victor J. Matukas and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Edward J. Miller

283 papers receiving 14.8k citations

Hit Papers

5 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.

[2] Preparation and characterization of the different types of collagen

1982 684 citations Edward J. Miller et al. profile →
Collagen Polymorphism: Characterization of Molecules with the Chain Composition [α1(III)] ₃ in Human Tissues

1974 469 citations Edward J. Miller et al. profile →
Affinity of fibronectin to collagens of different genetic types and to fibrinogen.

1978 463 citations Edward J. Miller et al. profile →
Structural studies on cartilage collagen employing limited cleavage and solubilization with pepsin

1972 380 citations Edward J. Miller profile →
Isolation and characterization of a chick cartilage collagen containing three identical chains

1971 358 citations Edward J. Miller profile →

Peers

Countries citing papers authored by Edward J. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Edward J. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward J. Miller. 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 Edward J. Miller. The network helps show where Edward J. Miller may publish in the future.

Co-authorship network of co-authors of Edward J. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Miller. A scholar is included among the top collaborators of Edward J. Miller 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 Edward J. Miller. Edward J. Miller 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

#	Work	Indexed citations
1	Automated computation of the HEART score with the GPT-4 large language model 2025 ·The American Journal of Emergency Medicine ·D. Wright, Vimig Socrates, Thomas Huang, Conrad Safranek, Rohit B. Sangal, (unknown), (unknown), (unknown), (unknown), (unknown), Edward J. Miller, David Chartash, Richard A. Taylor	0
2	Evaluating Blood Pressure Response Patterns to Exercise Stress Testing 2025 ·Hypertension ·Aishwarya Nene, (unknown), (unknown), Jeph Herrin, Oyere Onuma, Attila Fehér, Edward J. Miller, Yuan Lu, Judith Meadows, Erica S. Spatz	0
3	Advanced-stage duodenal cancer in pregnancy 2025 ·BMJ Case Reports ·(unknown), Feng Xiang, (unknown), Edward J. Miller	1
4	Integrating perfusion with AI–derived coronary calcium on CT attenuation scans to improve selection of low-risk studies for stress-only SPECT myocardial perfusion imaging 2025 ·Journal of Nuclear Cardiology ·Robert J.H. Miller, (unknown), Aakash Shanbhag, Alan Rozanski, Damini Dey, Mark Lemley, Serge D. Van Kriekinge, Paul Kavanagh, Attila Fehér, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, (unknown), Philipp A. Kaufmann, Joanna X. Liang, Daniel S. Berman, Piotr J. Slomka	0
5	Total-Body PET/CT Applications in Cardiovascular Diseases: A Perspective Document of the SNMMI Cardiovascular Council 2024 ·Journal of Nuclear Medicine ·Riemer H. J. A. Slart, Frank M. Bengel, Çiğdem Akincioğlu, Jamieson M. Bourque, Wengen Chen, Marc R. Dweck, Marcus Hacker, Saurabh Malhotra, Edward J. Miller, Matthieu Pelletier‐Galarneau, René R. Sevag Packard, Thomas H. Schindler, Richard L. Weinberg, Antti Saraste, Piotr J. Slomka	10
6	AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging 2024 ·npj Digital Medicine ·Robert J.H. Miller, Aakash Shanbhag, Aditya Killekar, Mark Lemley, (unknown), Serge D. Van Kriekinge, Paul Kavanagh, Attila Fehér, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, (unknown), Daniel S. Berman, Damini Dey, Piotr J. Slomka	15
7	TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction 2024 ·Medical Image Analysis ·Xueqi Guo, Luyao Shi, Xiongchao Chen, (unknown), Bo Zhou, Huidong Xie, Yi-Hwa Liu, (unknown), Edward J. Miller, Albert J. Sinusas, Lawrence H. Staib, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek	0
8	Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry 2024 ·European Heart Journal - Cardiovascular Imaging ·Michelle C. Williams, Aakash Shanbhag, Jianhang Zhou, Anna M. Michałowska, Mark Lemley, Robert J.H. Miller, Aditya Killekar, Parker Waechter, Heidi Gransar, Serge D. Van Kriekinge, (unknown), Attila Fehér, Edward J. Miller, Timothy M. Bateman, Damini Dey, Daniel S. Berman, Piotr J. Slomka	9
9	Severe aortic stenosis detection by deep learning applied to echocardiography 2023 ·European Heart Journal ·Gregory Holste, Evangelos K. Oikonomou, Bobak J. Mortazavi, Andreas Coppi, Kamil F. Faridi, Edward J. Miller, John K. Forrest, Robert L. McNamara, Lucila Ohno‐Machado, Neal Yuan, Aakriti Gupta, David Ouyang, Harlan M. Krumholz, Zhangyang Wang, Rohan Khera	57
10	Clinical Penetrance of the Transthyretin V122I Variant in Older Black Patients With Heart Failure: The SCAN‐MP (Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations) Study 2023 ·Journal of the American Heart Association ·(unknown), (unknown), (unknown), (unknown), (unknown), Denise Fine, Stephen Helmke, (unknown), (unknown), Farbod Raiszadeh, Sergio Teruya, Elizabeth Cohn, Andrew J. Einstein, Edward J. Miller, Lawreen H. Connors, Matthew J. Maurer, Frederick L. Ruberg	17
11	Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images 2023 ·Circulation ·Veer Sangha, Arash Aghajani Nargesi, Lovedeep Singh Dhingra, Akshay Khunte, Bobak J. Mortazavi, Antônio H. Ribeiro, (unknown), (unknown), Nadish Garg, Cynthia Brandt, Edward J. Miller, Antônio Luiz Pinho Ribeiro, Eric J. Velazquez, Luana Giatti, Sandhi Maria Barreto, Murilo Foppa, Neal Yuan, David Ouyang, Harlan M. Krumholz, Rohan Khera	63
12	Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry 2022 ·Computers in Biology and Medicine ·(unknown), Robert J.H. Miller, (unknown), Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Serge D. Van Kriekinge, Paul Kavanagh, Tejas Parekh, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka	21
13	Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events 2022 ·JACC. Cardiovascular imaging ·Konrad Pieszko, Aakash Shanbhag, Aditya Killekar, Robert J.H. Miller, Mark Lemley, Yuka Otaki, Ananya Singh, Jacek Kwieciński, Heidi Gransar, Serge D. Van Kriekinge, Paul Kavanagh, Edward J. Miller, (unknown), Joanna X. Liang, Daniel S. Berman, Damini Dey, Piotr J. Slomka	42
14	Differences in Prognostic Value of Myocardial Perfusion Single-Photon Emission Computed Tomography Using High-Efficiency Solid-State Detector Between Men and Women in a Large International Multicenter Study 2022 ·Circulation Cardiovascular Imaging ·Balaji Tamarappoo, Yuka Otaki, Tali Sharir, Lien-Hsin Hu, Heidi Gransar, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Evann Eisenberg, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka	2
15	Inhibition of type 1 immunity with tofacitinib is associated with marked improvement in longstanding sarcoidosis 2022 ·Nature Communications ·William Damsky, Alice Wang, Daniel Kim, Bryan D. Young, (unknown), Michael J. Murphy, (unknown), (unknown), Rüveyda Ayasun, Changwan Ryu, Meaghan K. McGeary, Ian D. Odell, (unknown), Darko Pucar, Robert Homer, Mridu Gulati, Edward J. Miller, Marcus Bosenberg, Richard A. Flavell, Brett King	62
16	The integration of genetically-regulated transcriptomics and electronic health records highlights a pattern of medical outcomes related to increased hepatic transthyretin expression 2021 ·Amyloid ·Gita A. Pathak, (unknown), Frank R. Wendt, Flavio De Angelis, Dóra Koller, Brenda Cabrera‐Mendoza, Daniel Jacoby, Edward J. Miller, Joel N. Buxbaum, Renato Polimanti	3
17	A phenomapping-derived tool to personalize the selection of anatomical vs. functional testing in evaluating chest pain (ASSIST) 2021 ·European Heart Journal ·Evangelos K. Oikonomou, David van Dijk, Helen Parise, Marc A. Suchard, James A. de Lemos, Charalambos Antoniades, Eric J. Velazquez, Edward J. Miller, Rohan Khera	23
18	Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT 2020 ·European Heart Journal - Cardiovascular Imaging ·Lien-Hsin Hu, Robert J.H. Miller, Tali Sharir, Frédéric Commandeur, (unknown), Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Joanna X. Liang, Evann Eisenberg, Damini Dey, Daniel S. Berman, Piotr J. Slomka	36
19	Up-regulation of Intracellular Calcium Handling Underlies the Recovery of Endotoxemic Cardiomyopathy in Mice 2017 ·Anesthesiology ·Justin C. Morse, Joanne Huang, (unknown), Edward J. Miller, Deborah A. Siwik, Wilson S. Colucci, Ion A. Hobai	10
20	Measles in secondary school children: implications for vaccination policy. 1994 ·PubMed ·N Calvert, Felicity T. Cutts, Edward J. Miller, Darron R. Brown, (unknown)	13

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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