Ross Upton

988 total citations
23 papers, 405 citations indexed

About

Ross Upton is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ross Upton has authored 23 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ross Upton's work include Cardiovascular Function and Risk Factors (13 papers), Cardiac Imaging and Diagnostics (9 papers) and Birth, Development, and Health (6 papers). Ross Upton is often cited by papers focused on Cardiovascular Function and Risk Factors (13 papers), Cardiac Imaging and Diagnostics (9 papers) and Birth, Development, and Health (6 papers). Ross Upton collaborates with scholars based in United Kingdom, United States and Australia. Ross Upton's co-authors include Paul Leeson, Maryam Alsharqi, William Woodward, Adam J. Lewandowski, Christina Aye, Yvonne Kenworthy, Henry Boardman, Pablo Lamata, Esther Davis and Satish Adwani and has published in prestigious journals such as Circulation, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Ross Upton

19 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ross Upton United Kingdom 9 232 141 92 88 66 23 405
Gabriela Paixão Brazil 8 191 0.8× 26 0.2× 113 1.2× 45 0.5× 40 0.6× 26 386
Tatsuya Arakaki Japan 12 34 0.1× 111 0.8× 295 3.2× 88 1.0× 61 0.9× 52 575
Lara Curran United States 4 53 0.2× 46 0.3× 49 0.5× 92 1.0× 46 0.7× 10 192
Maryam Alsharqi United Kingdom 7 141 0.6× 110 0.8× 23 0.3× 28 0.3× 23 0.3× 15 240
Marcus Schreckenberg United States 7 413 1.8× 296 2.1× 9 0.1× 63 0.7× 46 0.7× 14 525
Francesca Heilbron Italy 11 205 0.9× 31 0.2× 38 0.4× 55 0.6× 68 1.0× 20 335
Cassady Palmer United States 10 307 1.3× 147 1.0× 8 0.1× 58 0.7× 35 0.5× 33 373
John Zimmerman United States 7 556 2.4× 44 0.3× 16 0.2× 55 0.6× 15 0.2× 12 662
Jesús Andrés Benavides-Serralde Spain 8 128 0.6× 22 0.2× 366 4.0× 168 1.9× 75 1.1× 13 501
Antonella Rispoli Italy 7 136 0.6× 16 0.1× 14 0.2× 35 0.4× 19 0.3× 12 296

Countries citing papers authored by Ross Upton

Since Specialization
Citations

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

Fields of papers citing papers by Ross Upton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross Upton. 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 Ross Upton. The network helps show where Ross Upton may publish in the future.

Co-authorship network of co-authors of Ross Upton

This figure shows the co-authorship network connecting the top 25 collaborators of Ross Upton. A scholar is included among the top collaborators of Ross Upton 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 Ross Upton. Ross Upton 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.
Patwardhan, Bhushan, Sarika Chaturvedi, Ross Upton, et al.. (2025). A global approach to safety assessment of medicinal plants. Bulletin of the World Health Organization. 103(11). 741–743. 1 indexed citations
2.
Akerman, Ashley P., Nora Al-Roub, William Hawkes, et al.. (2025). External validation of artificial intelligence for detection of heart failure with preserved ejection fraction. Nature Communications. 16(1). 2915–2915. 4 indexed citations
3.
Thomas, James D., Akhil Narang, David Ouyang, et al.. (2025). Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis. JACC Advances. 4(8). 101901–101901. 2 indexed citations
4.
Upton, Ross, Sadie Bennett, A. Lenore Ackerman, et al.. (2025). Clinical research and trials in echocardiography: rationale, requirements and future opportunities. Echo Research and Practice. 12(1). 20–20.
5.
Akerman, Ashley P., Christopher G. Scott, Arian Beqiri, et al.. (2023). Automated Echocardiographic Detection of Heart Failure With Preserved Ejection Fraction Using Artificial Intelligence. JACC Advances. 2(6). 100452–100452. 46 indexed citations
6.
Akerman, Ashley P., Arian Beqiri, Agisilaos Chartsias, et al.. (2023). COMPARISON OF CLINICAL ALGORITHMS AND ARTIFICIAL INTELLIGENCE APPLIED TO AN ECHOCARDIOGRAM TO CATEGORIZE RISK OF HEART FAILURE WITH PRESERVED EJECTION FRACTION (HFPEF). Journal of the American College of Cardiology. 81(8). 360–360. 1 indexed citations
7.
Akerman, Ashley P., Christopher G. Scott, Agisilaos Chartsias, et al.. (2023). Abstract 17227: An Artificial Intelligence Based Model for Heart Failure With Preserved Ejection Fraction Predicts Cardiac Mortality. Circulation. 148(Suppl_1).
8.
Boardman, Henry, Pablo Lamata, Merzaka Lazdam, et al.. (2020). Variations in Cardiovascular Structure, Function, and Geometry in Midlife Associated With a History of Hypertensive Pregnancy. Hypertension. 75(6). 1542–1550. 35 indexed citations
9.
Aye, Christina, Adam J. Lewandowski, Pablo Lamata, et al.. (2020). Prenatal and Postnatal Cardiac Development in Offspring of Hypertensive Pregnancies. Journal of the American Heart Association. 9(9). e014586–e014586. 21 indexed citations
10.
Woodward, William, Annabelle McCourt, Daniel Augustine, et al.. (2020). Real-world use and accuracy of stress echocardiography: preliminary insights from the EVAREST study. European Heart Journal. 41(Supplement_2).
11.
Aye, Christina, Adam J. Lewandowski, Pablo Lamata, et al.. (2018). Postnatal cardiac hypertrophy in infants born at term to hypertensive mothers. Oxford University Research Archive (ORA) (University of Oxford). 125. 10–11. 1 indexed citations
12.
Aye, Christina, Adam J. Lewandowski, Julien Oster, et al.. (2018). Neonatal autonomic function after pregnancy complications and early cardiovascular development. Pediatric Research. 84(1). 85–91. 16 indexed citations
13.
Alsharqi, Maryam, et al.. (2018). Artificial intelligence and echocardiography. Echo Research and Practice. 5(4). R115–R125. 127 indexed citations
14.
Alsharqi, Maryam, et al.. (2018). Artificial intelligence: a new clinical support tool for stress echocardiography. Expert Review of Medical Devices. 15(8). 513–515. 15 indexed citations
15.
Aye, Christina, Adam J. Lewandowski, E. Ohuma, et al.. (2017). Two-dimensional echocardiography estimates of fetal ventricular mass throughout gestation. eCommons - AKU (Aga Khan University). 124. 71–71. 1 indexed citations
16.
Aye, Christina, Adam J. Lewandowski, Pablo Lamata, et al.. (2017). Disproportionate cardiac hypertrophy during early postnatal development in infants born preterm. Pediatric Research. 82(1). 36–46. 82 indexed citations
17.
Aye, Christina, Adam J. Lewandowski, Eric O. Ohuma, et al.. (2017). Two-Dimensional Echocardiography Estimates of Fetal Ventricular Mass throughout Gestation. Fetal Diagnosis and Therapy. 44(1). 18–27. 4 indexed citations
18.
Lewandowski, Adam J., Christina Aye, Pablo Lamata, et al.. (2015). B Postnatal Cardiac Remodelling after Preterm Birth: Why Preterm-Born Individuals have a Unique Functional and Structural Phenotype in Young Adulthood?. A125.2–A126. 1 indexed citations
19.
Stebbing, Richard V., Ana I. L. Namburete, Ross Upton, Paul Leeson, & J. Alison Noble. (2014). Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography. Medical Image Analysis. 21(1). 29–39. 15 indexed citations
20.
Aye, Christina, Esther Davis, Ross Upton, Adam J. Lewandowski, & Paul Leeson. (2014). Assessment of cardiac function from fetal to adult life with myocardial deformation imaging. Ultrasound in Obstetrics and Gynecology. 43(6). 605–608. 1 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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