Jennifer A. Steeden

2.0k total citations
71 papers, 1.4k citations indexed

About

Jennifer A. Steeden is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jennifer A. Steeden has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Cardiology and Cardiovascular Medicine and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jennifer A. Steeden's work include Advanced MRI Techniques and Applications (41 papers), Cardiovascular Function and Risk Factors (19 papers) and Atomic and Subatomic Physics Research (17 papers). Jennifer A. Steeden is often cited by papers focused on Advanced MRI Techniques and Applications (41 papers), Cardiovascular Function and Risk Factors (19 papers) and Atomic and Subatomic Physics Research (17 papers). Jennifer A. Steeden collaborates with scholars based in United Kingdom, United States and Canada. Jennifer A. Steeden's co-authors include Vivek Muthurangu, Andrew M. Taylor, Andreas Hauptmann, Simon Arridge, David Atkinson, Michael A. Quail, Daniel Knight, Felix Lucka, Bejal Pandya and Patrick Segers and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Scientific Reports.

In The Last Decade

Jennifer A. Steeden

68 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer A. Steeden United Kingdom	21	655	573	327	238	163	71	1.4k
Yasumasa Tsukamoto Japan	28	771 1.2×	262 0.5×	321 1.0×	207 0.9×	143 0.9×	131	2.4k
Ming-Ting Wu Taiwan	22	373 0.6×	435 0.8×	286 0.9×	173 0.7×	37 0.2×	59	1.6k
Marat Slessarev Canada	22	133 0.2×	493 0.9×	279 0.9×	223 0.9×	121 0.7×	88	1.6k
Abdallah Al‐Mohammad United Kingdom	25	1.2k 1.8×	682 1.2×	266 0.8×	154 0.6×	100 0.6×	76	1.8k
Johan Berglund Sweden	20	202 0.3×	492 0.9×	508 1.6×	305 1.3×	145 0.9×	55	1.9k
Hitoshi Horigome Japan	24	1.2k 1.9×	203 0.4×	345 1.1×	398 1.7×	386 2.4×	136	2.0k
Thomas F. Floyd United States	24	388 0.6×	816 1.4×	396 1.2×	166 0.7×	79 0.5×	61	1.9k
Matthias Hammon Germany	24	170 0.3×	653 1.1×	305 0.9×	118 0.5×	151 0.9×	101	1.8k
Maja Čikeš Croatia	22	1.3k 1.9×	514 0.9×	133 0.4×	128 0.5×	227 1.4×	90	1.9k
Alois M. Sprinkart Germany	28	1.0k 1.5×	1.2k 2.1×	233 0.7×	596 2.5×	110 0.7×	120	2.7k

Countries citing papers authored by Jennifer A. Steeden

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer A. Steeden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. Steeden. 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 Jennifer A. Steeden. The network helps show where Jennifer A. Steeden may publish in the future.

Co-authorship network of co-authors of Jennifer A. Steeden

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Steeden. A scholar is included among the top collaborators of Jennifer A. Steeden 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 Jennifer A. Steeden. Jennifer A. Steeden 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

Quail, Michael A., et al.. (2024). Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data. PLoS Computational Biology. 20(6). e1012231–e1012231. 5 indexed citations

Brown, James, Tushar Kotecha, Jennifer A. Steeden, et al.. (2024). Prognostic utility of exercise cardiovascular magnetic resonance in patients with systemic sclerosis-associated pulmonary arterial hypertension. European Heart Journal - Cardiovascular Imaging. 25(12). 1712–1720.

Jiang, Yue, Iain Pierce, Daniel Knight, et al.. (2024). A machine learning algorithm for creating isotropic 3D aortic segmentations from routine cardiac MR localizers. Magnetic Resonance Imaging. 115. 110253–110253. 1 indexed citations

Dorfman, Adam L., Mark A. Fogel, Sunil J. Ghelani, et al.. (2023). A Deep Learning Pipeline for Assessing Ventricular Volumes from a Cardiac MRI Registry of Patients with Single Ventricle Physiology. Radiology Artificial Intelligence. 6(1). e230132–e230132. 5 indexed citations

Muthurangu, Vivek, Marilena Rega, Bhavana Solanky, et al.. (2023). 2D sodium MRI of the human calf using half‐sinc excitation pulses and compressed sensing. Magnetic Resonance in Medicine. 91(1). 325–336. 2 indexed citations

Muthurangu, Vivek, et al.. (2021). Machine learning in Magnetic Resonance Imaging:image reconstruction. University of Oulu Repository (University of Oulu). 37 indexed citations

Steeden, Jennifer A., Michael A. Quail, Alexander Gotschy, et al.. (2020). Rapid whole-heart CMR with single volume super-resolution. University of Oulu Repository (University of Oulu). 51 indexed citations

Nayak, Krishna S., et al.. (2020). Real‐Time Magnetic Resonance Imaging. Journal of Magnetic Resonance Imaging. 55(1). 81–99. 58 indexed citations

Quail, Michael A., et al.. (2019). The cardiovascular phenotype of childhood hypertension: a cardiac magnetic resonance study. Pediatric Radiology. 49(6). 727–736. 5 indexed citations

10.

Hauptmann, Andreas, Simon Arridge, Felix Lucka, Vivek Muthurangu, & Jennifer A. Steeden. (2018). Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease. arXiv (Cornell University). 1 indexed citations

11.

Knight, Daniel, Giulia Zumbo, William Barcella, et al.. (2018). Cardiac Structural and Functional Consequences of Amyloid Deposition by Cardiac Magnetic Resonance and Echocardiography and Their Prognostic Roles. JACC. Cardiovascular imaging. 12(5). 823–833. 119 indexed citations

12.

Fengler, Karl, Karl‐Philipp Rommel, Stephan Blazek, et al.. (2018). Cardiac magnetic resonance assessment of central and peripheral vascular function in patients undergoing renal sympathetic denervation as predictor for blood pressure response. Clinical Research in Cardiology. 107(10). 945–955. 15 indexed citations

13.

Mortensen, Kristian H., Alexander Jones, Jennifer A. Steeden, Andrew M. Taylor, & Vivek Muthurangu. (2015). Isometric stress in cardiovascular magnetic resonance—a simple and easily replicable method of assessing cardiovascular differences not apparent at rest. European Radiology. 26(4). 1009–1017. 10 indexed citations

14.

Pandya, Bejal, Michael A. Quail, Jennifer A. Steeden, et al.. (2014). Real-Time Magnetic Resonance Assessment of Septal Curvature Accurately Tracks Acute Hemodynamic Changes in Pediatric Pulmonary Hypertension. Circulation Cardiovascular Imaging. 7(4). 706–713. 31 indexed citations

15.

Knight, Daniel, Jennifer A. Steeden, Oliver Tann, et al.. (2014). Assessment of cardiac time intervals using high temporal resolution real-time spiral phase contrast with UNFOLD-SENSE. Journal of Cardiovascular Magnetic Resonance. 16. W15–W15. 2 indexed citations

16.

Jones, Alexander, Russell Jones, Jennifer A. Steeden, et al.. (2013). Habitual alcohol consumption is associated with lower cardiovascular stress responses – a novel explanation for the known cardiovascular benefits of alcohol?. Stress. 16(4). 369–376. 17 indexed citations

17.

Quail, Michael A., Jennifer A. Steeden, Andrew M. Taylor, & Vivek Muthurangu. (2013). P6.14 THE EFFECT OF TEMPORAL RESOLUTION ON MR ASSESSMENT OF PULSE WAVE VELOCITY. Artery Research. 7(3-4). 157–157. 2 indexed citations

18.

Steeden, Jennifer A., et al.. (2013). Self‐navigated tissue phase mapping using a golden‐angle spiral acquisition—proof of concept in patients with pulmonary hypertension. Magnetic Resonance in Medicine. 71(1). 145–155. 19 indexed citations

19.

Jones, Alexander, Jennifer A. Steeden, Jens C. Pruessner, et al.. (2011). Detailed assessment of the hemodynamic response to psychosocial stress using real‐time MRI. Journal of Magnetic Resonance Imaging. 33(2). 448–454. 24 indexed citations

20.

Steeden, Jennifer A., David Atkinson, Michael S. Hansen, Andrew M. Taylor, & Vivek Muthurangu. (2011). Rapid Flow Assessment of Congenital Heart Disease with High-Spatiotemporal-Resolution Gated Spiral Phase-Contrast MR Imaging. Radiology. 260(1). 79–87. 43 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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