Rina Ariga

1.8k total citations
34 papers, 1.1k citations indexed

About

Rina Ariga is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rina Ariga has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rina Ariga's work include Cardiovascular Function and Risk Factors (18 papers), Cardiomyopathy and Myosin Studies (14 papers) and Cardiac Imaging and Diagnostics (12 papers). Rina Ariga is often cited by papers focused on Cardiovascular Function and Risk Factors (18 papers), Cardiomyopathy and Myosin Studies (14 papers) and Cardiac Imaging and Diagnostics (12 papers). Rina Ariga collaborates with scholars based in United Kingdom, United States and Greece. Rina Ariga's co-authors include Stefan Neubauer, Masliza Mahmod, Jane M Francis, Eylem Levelt, Theodoros D. Karamitsos, Christopher T. Rodgers, Kieran Clarke, Oliver J. Rider, William T. Clarke and Stefan K. Piechnik and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Diabetes.

In The Last Decade

Rina Ariga

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rina Ariga United Kingdom 15 913 403 151 137 135 34 1.1k
Athanasios S. Naum Romania 13 498 0.5× 285 0.7× 205 1.4× 139 1.0× 106 0.8× 28 966
Eylem Levelt United Kingdom 20 1.1k 1.2× 593 1.5× 271 1.8× 283 2.1× 218 1.6× 90 1.6k
Helena Tuunanen Finland 14 544 0.6× 193 0.5× 233 1.5× 96 0.7× 91 0.7× 21 896
Junichi Funada Japan 18 486 0.5× 159 0.4× 84 0.6× 115 0.8× 204 1.5× 46 786
James D. Gladden United States 13 609 0.7× 128 0.3× 211 1.4× 67 0.5× 168 1.2× 19 973
Michaela Scheuermann‐Freestone United Kingdom 8 568 0.6× 193 0.5× 248 1.6× 77 0.6× 76 0.6× 11 840
Rohan S. Wijesurendra United Kingdom 16 819 0.9× 464 1.2× 116 0.8× 49 0.4× 129 1.0× 44 1.1k
Kerstin Harre Germany 12 867 0.9× 617 1.5× 357 2.4× 49 0.4× 165 1.2× 22 1.3k
Wolfgang Utz Germany 21 552 0.6× 326 0.8× 154 1.0× 280 2.0× 143 1.1× 30 1.2k
Luigino Nascimben United States 14 676 0.7× 274 0.7× 512 3.4× 47 0.3× 150 1.1× 22 1.2k

Countries citing papers authored by Rina Ariga

Since Specialization
Citations

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

Fields of papers citing papers by Rina Ariga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Ariga

This figure shows the co-authorship network connecting the top 25 collaborators of Rina Ariga. A scholar is included among the top collaborators of Rina Ariga 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 Rina Ariga. Rina Ariga 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.
Gonzales, Ricardo A., Matthew K. Burrage, İbrahim Altun, et al.. (2025). dT1 maps: A novel approach for visualising myocardial stress without gadolinium-based contrast agents. Journal of Cardiovascular Magnetic Resonance. 27. 101483–101483. 1 indexed citations
2.
Mahmod, Masliza, Kenneth Chan, João Filipe Fernandes, et al.. (2024). Differentiating Left Ventricular Remodeling in Aortic Stenosis From Systemic Hypertension. Circulation Cardiovascular Imaging. 17(8). e016489–e016489.
3.
Ariga, Rina, Lucy Finnigan, Gloria E. Sarto, et al.. (2024). Myocardial disarray and fibrosis across hypertrophic cardiomyopathy stages associate with ECG markers of arrhythmic risk. European Heart Journal - Cardiovascular Imaging. 26(2). 218–228. 3 indexed citations
4.
Raman, Betty, Rina Ariga, Alistair A. Young, et al.. (2022). Left ventricular anatomy in obstructive hypertrophic cardiomyopathy: beyond basal septal hypertrophy. European Heart Journal - Cardiovascular Imaging. 24(6). 807–818. 13 indexed citations
5.
Raman, Betty, R Smillie, Masliza Mahmod, et al.. (2021). Incremental value of left atrial booster and reservoir strain in predicting atrial fibrillation in patients with hypertrophic cardiomyopathy: a cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 23(1). 109–109. 22 indexed citations
6.
Raman, Betty, Kenneth Chan, Rina Ariga, et al.. (2019). Impaired Stress Myocardial Oxygenation and Not Perfusion Reserve is Associated With Arrhythmic Risk in Hypertrophic Cardiomyopathy: Insights From a Novel Oxygen Sensitive Cardiac Magnetic Resonance Approach. Circulation. 140. 1 indexed citations
7.
Mincholé, Ana, Ernesto Zacur, Rina Ariga, Vicente Grau, & Blanca Rodríguez. (2019). MRI-Based Computational Torso/Biventricular Multiscale Models to Investigate the Impact of Anatomical Variability on the ECG QRS Complex. Frontiers in Physiology. 10. 1103–1103. 41 indexed citations
8.
Ariga, Rina, Elizabeth M. Tunnicliffe, Sanjay Manohar, et al.. (2019). Identification of Myocardial Disarray in Patients With Hypertrophic Cardiomyopathy and Ventricular Arrhythmias. Journal of the American College of Cardiology. 73(20). 2493–2502. 85 indexed citations
9.
Lyon, Aurore, Rina Ariga, Ana Mincholé, et al.. (2018). Distinct ECG Phenotypes Identified in Hypertrophic Cardiomyopathy Using Machine Learning Associate With Arrhythmic Risk Markers. Frontiers in Physiology. 9. 213–213. 62 indexed citations
10.
Mahmod, Masliza, Nikhil Pal, Jennifer J. Rayner, et al.. (2018). The interplay between metabolic alterations, diastolic strain rate and exercise capacity in mild heart failure with preserved ejection fraction: a cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 20(1). 88–88. 62 indexed citations
11.
Mahmod, Masliza, Nikhil Pal, Jennifer J. Rayner, et al.. (2018). The interplay between metabolic alterations, diastolic strain rate and exercise capacity in mild heart failure with preserved ejection fraction. Apollo (University of Cambridge). 18 indexed citations
12.
Raman, Betty, Rina Ariga, Masliza Mahmod, et al.. (2017). 011 Adenosine stress T1 mapping: a novel contrast free method to assess myocardial perfusion and ischaemia in hypertrophic cardiomyopathy. Heart. 103(Suppl 1). A8.2–A9. 1 indexed citations
13.
Liu, Alexander, Rohan S. Wijesurendra, Rina Ariga, et al.. (2016). Splenic T1-mapping: a novel quantitative method for assessing adenosine stress adequacy for cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 19(1). 1–1. 47 indexed citations
14.
Levelt, Eylem, Stefan K. Piechnik, Alexander Liu, et al.. (2016). Adenosine stress CMR T1-mapping detects early microvascular dysfunction in patients with type 2 diabetes mellitus without obstructive coronary artery disease. Journal of Cardiovascular Magnetic Resonance. 19(1). 81–81. 62 indexed citations
15.
Levelt, Eylem, Michael Pavlides, Rajarshi Banerjee, et al.. (2016). Ectopic and Visceral Fat Deposition in Lean and Obese Patients With Type 2 Diabetes. Journal of the American College of Cardiology. 68(1). 53–63. 167 indexed citations
16.
Levelt, Eylem, Christopher T. Rodgers, William T. Clarke, et al.. (2015). Effect of exercise on myocardial energy metabolism and relationship between coronary microvascular dysfunction and abnormal myocardial energetics in diabetic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 17. O98–O98. 1 indexed citations
17.
Mincholé, Ana, Rina Ariga, Stefan Neubauer, Hugh Watkins, & Blanca Rodríguez. (2014). Electrocardiographic Abnormalities in Hypertrophic Cardiomyopathy.. Computing in Cardiology Conference. 41. 397–400. 3 indexed citations
18.
Tunnicliffe, Elizabeth M., Andrew D. Scott, Pedro Ferreira, et al.. (2014). Intercentre reproducibility of cardiac apparent diffusion coefficient and fractional anisotropy in healthy volunteers. Journal of Cardiovascular Magnetic Resonance. 16(1). 31–31. 31 indexed citations
19.
Tunnicliffe, Elizabeth M., Andrew D. Scott, Pedro Ferreira, et al.. (2014). Inter-centre reproducibility of cardiac diffusion tensor measures. Journal of Cardiovascular Magnetic Resonance. 16. O84–O84. 3 indexed citations
20.
Ariga, Rina, et al.. (2010). Greater Three‐Dimensional Ventricular Lead Tip Separation is Associated with Improved Outcome after Cardiac Resynchronization Therapy. Pacing and Clinical Electrophysiology. 33(12). 1490–1496. 11 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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