Jayanth R. Arnold

3.0k total citations
83 papers, 1.9k citations indexed

About

Jayanth R. Arnold is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jayanth R. Arnold has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cardiology and Cardiovascular Medicine, 45 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Surgery. Recurrent topics in Jayanth R. Arnold's work include Cardiac Imaging and Diagnostics (42 papers), Cardiovascular Function and Risk Factors (31 papers) and Advanced MRI Techniques and Applications (20 papers). Jayanth R. Arnold is often cited by papers focused on Cardiac Imaging and Diagnostics (42 papers), Cardiovascular Function and Risk Factors (31 papers) and Advanced MRI Techniques and Applications (20 papers). Jayanth R. Arnold collaborates with scholars based in United Kingdom, United States and Australia. Jayanth R. Arnold's co-authors include Gerry P McCann, Theodoros D. Karamitsos, Anvesha Singh, Stefan Neubauer, Prathap Kanagala, Iain Squire, Jane M Francis, Leong L. Ng, Adrian Banning and Finn Gustafsson and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jayanth R. Arnold

72 papers receiving 1.9k citations

Peers

Jayanth R. Arnold
Jayanth R. Arnold
Citations per year, relative to Jayanth R. Arnold Jayanth R. Arnold (= 1×) peers Satoshi Okayama

Countries citing papers authored by Jayanth R. Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Jayanth R. Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayanth R. Arnold. 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 Jayanth R. Arnold. The network helps show where Jayanth R. Arnold may publish in the future.

Co-authorship network of co-authors of Jayanth R. Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of Jayanth R. Arnold. A scholar is included among the top collaborators of Jayanth R. Arnold 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 Jayanth R. Arnold. Jayanth R. Arnold 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
2.
Gohar, Aisha, Kelly Parke, G. Hudson, et al.. (2025). Accelerated stress CMR for the detection of significant coronary artery disease: a prospective randomized diagnostic accuracy study. European Heart Journal - Cardiovascular Imaging. 27(4). 597–607.
3.
Athithan, Lavanya, Aparna Deshpande, Anvesha Singh, et al.. (2024). Sex differences and determinants of coronary microvascular function in asymptomatic adults with type 2 diabetes. Journal of Cardiovascular Magnetic Resonance. 27(1). 101132–101132. 1 indexed citations
4.
Gulsin, Gaurav S., Aparna Deshpande, Jayanth R. Arnold, et al.. (2024). Association of epicardial adipose tissue with early structural and functional cardiac changes in Type 2 diabetes. European Journal of Radiology. 174. 111400–111400. 3 indexed citations
6.
Wang‎, Shuihua, et al.. (2023). MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images. Entropy. 25(3). 431–431. 6 indexed citations
7.
Arnold, Jayanth R., Prathap Kanagala, Charley Budgeon, et al.. (2022). Prevalence and Prognostic Significance of Microvascular Dysfunction in Heart Failure With Preserved Ejection Fraction. JACC. Cardiovascular imaging. 15(6). 1001–1011. 52 indexed citations
8.
Nazir, Sheraz A., Abhishek Shetye, Jamal Nasir Khan, et al.. (2020). Inter-study repeatability of circumferential strain and diastolic strain rate by CMR tagging, feature tracking and tissue tracking in ST-segment elevation myocardial infarction. International journal of cardiac imaging. 36(6). 1133–1146. 15 indexed citations
9.
Kanagala, Prathap, Adrian S. H. Cheng, Anvesha Singh, et al.. (2019). Relationship Between Focal and Diffuse Fibrosis Assessed by CMR and Clinical Outcomes in Heart Failure With Preserved Ejection Fraction. JACC. Cardiovascular imaging. 12(11). 2291–2301. 98 indexed citations
10.
Salzano, Andrea, Muhammad Zubair Israr, Y Yazaki, et al.. (2019). Combined use of trimethylamine N-oxide with BNP for risk stratification in heart failure with preserved ejection fraction: findings from the DIAMONDHFpEF study. European Journal of Preventive Cardiology. 27(19). 2159–2162. 41 indexed citations
11.
Gulsin, Gaurav S., Abhishek Shetye, Florence Lai, et al.. (2018). Haemodynamic effects of pharmacologic stress with adenosine in patients with left ventricular systolic dysfunction. International Journal of Cardiology. 278. 157–161. 5 indexed citations
12.
Shetye, Abhishek, Sheraz A. Nazir, Nathan L. Price, et al.. (2017). Comparison of global myocardial strain assessed by cardiovascular magnetic resonance tagging and feature tracking to infarct size at predicting remodelling following STEMI. BMC Cardiovascular Disorders. 17(1). 7–7. 20 indexed citations
13.
Gulsin, Gaurav S., Abhishek Shetye, Jeffrey Khoo, et al.. (2017). Does stress perfusion imaging improve the diagnostic accuracy of late gadolinium enhanced cardiac magnetic resonance for establishing the etiology of heart failure?. BMC Cardiovascular Disorders. 17(1). 24–24. 5 indexed citations
14.
Arnold, Jayanth R., Theodoros D. Karamitsos, Paul Bhamra‐Ariza, et al.. (2012). Myocardial Oxygenation in Coronary Artery Disease. Journal of the American College of Cardiology. 59(22). 1954–1964. 58 indexed citations
15.
Lim, C.C.S., William J. van Gaal, Luca Testa, et al.. (2011). With the “Universal Definition,” Measurement of Creatine Kinase-Myocardial Band Rather Than Troponin Allows More Accurate Diagnosis of Periprocedural Necrosis and Infarction After Coronary Intervention. Journal of the American College of Cardiology. 57(6). 653–661. 88 indexed citations
16.
Gaal, W. van, Jayanth R. Arnold, Luca Testa, et al.. (2011). Myocardial Injury following Coronary Artery Surgery versus Angioplasty (MICASA): a randomised trial using biochemical markers and cardiac magnetic resonance imaging. EuroIntervention. 6(6). 703–710. 21 indexed citations
17.
Arnold, Jayanth R., Theodoros D. Karamitsos, Tammy Pegg, et al.. (2010). Adenosine Stress Myocardial Contrast Echocardiography for the Detection of Coronary Artery Disease. JACC. Cardiovascular imaging. 3(9). 934–943. 37 indexed citations
18.
Karavitaki, Niki, Justin Warner, Brian Shine, et al.. (2006). GH replacement does not increase the risk of recurrence in patients with craniopharyngioma. Clinical Endocrinology. 64(5). 556–560. 89 indexed citations
19.
Danesh, John, John Koreth, Linda Youngman, et al.. (1999). Is Helicobacter pylori a Factor in Coronary Atherosclerosis?. Journal of Clinical Microbiology. 37(5). 1651–1651. 20 indexed citations
20.
Arnold, Jayanth R., Robert D. Truog, J. M. Scavone, & T. Fenton. (1991). Changes in the pharmacodynamic response to fentanyl in neonates during continuous infusion. The Journal of Pediatrics. 119(4). 639–643. 98 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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