Daniel B. Ennis

4.8k total citations
180 papers, 3.2k citations indexed

About

Daniel B. Ennis is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Daniel B. Ennis has authored 180 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Radiology, Nuclear Medicine and Imaging, 95 papers in Cardiology and Cardiovascular Medicine and 28 papers in Biomedical Engineering. Recurrent topics in Daniel B. Ennis's work include Advanced MRI Techniques and Applications (98 papers), Cardiovascular Function and Risk Factors (69 papers) and Cardiac Imaging and Diagnostics (40 papers). Daniel B. Ennis is often cited by papers focused on Advanced MRI Techniques and Applications (98 papers), Cardiovascular Function and Risk Factors (69 papers) and Cardiac Imaging and Diagnostics (40 papers). Daniel B. Ennis collaborates with scholars based in United States, United Kingdom and Canada. Daniel B. Ennis's co-authors include Gordon Kindlmann, Eric Aliotta, Elliot R. McVeigh, Kévin Moulin, Luigi E. Perotti, D. Craig Miller, Neil B. Ingels, Holden H. Wu, J. Paul Finn and Michael Loecher and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Daniel B. Ennis

166 papers receiving 3.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel B. Ennis 1.7k 1.7k 566 372 171 180 3.2k
Han Wen 1.5k 0.9× 1.1k 0.7× 585 1.0× 248 0.7× 257 1.5× 92 3.1k
Maria Drangova 1.9k 1.1× 1.2k 0.7× 1.3k 2.2× 678 1.8× 278 1.6× 174 4.2k
Taigang He 1.3k 0.8× 1.2k 0.7× 242 0.4× 263 0.7× 264 1.5× 55 3.0k
Graham A. Wright 2.3k 1.3× 774 0.5× 373 0.7× 430 1.2× 91 0.5× 113 3.4k
Bruce H. Smaill 932 0.5× 3.3k 1.9× 1.5k 2.6× 766 2.1× 720 4.2× 103 4.7k
Ian J. LeGrice 750 0.4× 2.8k 1.7× 1.3k 2.3× 733 2.0× 640 3.7× 78 3.9k
Hiroshi Ashikaga 1.0k 0.6× 3.4k 2.0× 253 0.4× 291 0.8× 191 1.1× 114 3.8k
Declan P. O’Regan 1.4k 0.8× 1.7k 1.0× 420 0.7× 385 1.0× 192 1.1× 150 3.5k
Pierre Croisille 2.9k 1.7× 3.0k 1.8× 571 1.0× 660 1.8× 299 1.7× 193 4.9k
Kiaran P. McGee 1.6k 0.9× 302 0.2× 884 1.6× 240 0.6× 63 0.4× 98 2.4k

Countries citing papers authored by Daniel B. Ennis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Ennis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel B. Ennis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Ennis. A scholar is included among the top collaborators of Daniel B. Ennis 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 Daniel B. Ennis. Daniel B. Ennis 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.
McElhinney, Doff B., et al.. (2025). Experiments and Simulations to Assess Exercise-Induced Pressure Drop Across Aortic Coarctations. Journal of Biomechanical Engineering. 147(7).
2.
Cork, Tyler E., et al.. (2025). Evaluation of an open-source toolbox for cardiac diffusion in python (CarDpy). Journal of Cardiovascular Magnetic Resonance. 27. 101386–101386. 1 indexed citations
3.
Loecher, Michael, et al.. (2025). Towards open-source spin-echo cardiac diffusion tensor imaging. Journal of Cardiovascular Magnetic Resonance. 27. 101389–101389. 2 indexed citations
4.
Loecher, Michael, Karl Kunze, Radhouène Neji, et al.. (2025). DENSE-SIM: A modular pipeline for the evaluation of cine displacement encoding with stimulated echoes images with sub-voxel ground-truth strain. Journal of Cardiovascular Magnetic Resonance. 27(1). 101866–101866.
5.
Cork, Tyler E., et al.. (2025). Evaluation of EPI‐Based Distortion Correction Techniques for Cardiac Diffusion Tensor Imaging. NMR in Biomedicine. 38(11). e70147–e70147.
6.
Wang, Vicky Y., Michael Loecher, Tyler E. Cork, et al.. (2025). Characterizing variability in passive myocardial stiffness in healthy human left ventricles using personalized MRI and finite element modeling. Scientific Reports. 15(1). 5556–5556. 1 indexed citations
7.
Loecher, Michael, et al.. (2024). Pre‐excitation gradients for eddy current nulled convex optimized diffusion encoding (Pre‐ENCODE). Magnetic Resonance in Medicine. 92(2). 573–585.
8.
Cork, Tyler E., et al.. (2024). Phase stabilization with motion compensated diffusion weighted imaging. Magnetic Resonance in Medicine. 92(6). 2312–2327. 2 indexed citations
9.
Kong, Fanwei, et al.. (2024). SDF4CHD: Generative modeling of cardiac anatomies with congenital heart defects. Medical Image Analysis. 97. 103293–103293. 10 indexed citations
10.
Dall’Armellina, Erica, Daniel B. Ennis, Leon Axel, et al.. (2024). Cardiac diffusion-weighted and tensor imaging: A consensus statement from the special interest group of the Society for Cardiovascular Magnetic Resonance. Journal of Cardiovascular Magnetic Resonance. 27(1). 101109–101109. 6 indexed citations
11.
Elkins, Christopher J., et al.. (2024). Assessing the Impact of Cardiac Output and Valve Orientation on Bioprosthetic Pulmonary Valve Hemodynamics Using In Vitro 4D-Flow MRI and High-Speed Imaging. Cardiovascular Engineering and Technology. 16(1). 138–153. 1 indexed citations
12.
Sun, Changyu, Pierre Croisille, Magalie Viallon, et al.. (2023). StrainNet: Improved Myocardial Strain Analysis of Cine MRI by Deep Learning from DENSE. Radiology Cardiothoracic Imaging. 5(3). e220196–e220196. 17 indexed citations
13.
14.
Ju, Liu, et al.. (2022). Validation of the Reduced Unified Continuum Formulation Against In Vitro 4D-Flow MRI. Annals of Biomedical Engineering. 51(2). 377–393. 17 indexed citations
15.
Moulin, Kévin, Bryan Yoo, Yu Shi, et al.. (2020). Evaluation of a Workflow to Define Low Specific Absorption Rate MRI Protocols for Patients With Active Implantable Medical Devices. Journal of Magnetic Resonance Imaging. 52(1). 91–102. 4 indexed citations
16.
Eldredge, Jeff D., et al.. (2019). Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions. Lecture notes in computer science. 11504. 294–303. 6 indexed citations
17.
Serano, Peter, et al.. (2019). Patient Orientation Affects Lead-Tip Heating of Cardiac Active Implantable Medical Devices during MRI. Radiology Cardiothoracic Imaging. 1(3). e190006–e190006. 8 indexed citations
18.
Moulin, Kévin, Eric Aliotta, & Daniel B. Ennis. (2018). Effect of flow‐encoding strength on intravoxel incoherent motion in the liver. Magnetic Resonance in Medicine. 81(3). 1521–1533. 23 indexed citations
19.
Aliotta, Eric, et al.. (2018). Quantifying precision in cardiac diffusion tensor imaging with second‐order motion‐compensated convex optimized diffusion encoding. Magnetic Resonance in Medicine. 80(3). 1074–1087. 26 indexed citations
20.
Ferreira, Pedro, Sònia Nielles‐Vallespin, Andrew D. Scott, et al.. (2017). Evaluation of the impact of strain correction on the orientation of cardiac diffusion tensors with in vivo and ex vivo porcine hearts. Magnetic Resonance in Medicine. 79(4). 2205–2215. 21 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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