Ciara Cummins

714 total citations
7 papers, 546 citations indexed

About

Ciara Cummins is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ciara Cummins has authored 7 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Molecular Biology. Recurrent topics in Ciara Cummins's work include Cardiac Imaging and Diagnostics (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Viral Infections and Immunology Research (1 paper). Ciara Cummins is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Viral Infections and Immunology Research (1 paper). Ciara Cummins collaborates with scholars based in Germany, United Kingdom and Australia. Ciara Cummins's co-authors include Eike Nagel, Valentina O. Püntmann, Rolf Gebker, Chung-Yao Yu, Andrew Jabbour, Toby Rogers, David Higgins, Sven Plein, Darius Dabir and Lucy Foote and has published in prestigious journals such as Hypertension, Journal of the American Society of Echocardiography and Journal of Computer Assisted Tomography.

In The Last Decade

Ciara Cummins

7 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ciara Cummins Germany 6 433 345 44 39 38 7 546
Niharika Varma United Kingdom 4 482 1.1× 322 0.9× 84 1.9× 34 0.9× 22 0.6× 5 578
Bilal Khan United States 5 543 1.3× 180 0.5× 43 1.0× 20 0.5× 39 1.0× 12 596
Jennifer Erley Germany 12 368 0.8× 257 0.7× 63 1.4× 24 0.6× 29 0.8× 33 429
Mareike Gastl Germany 11 253 0.6× 182 0.5× 61 1.4× 30 0.8× 51 1.3× 28 356
Chrysanthos Grigoratos Italy 17 613 1.4× 257 0.7× 149 3.4× 41 1.1× 81 2.1× 48 762
Lucy Foote United Kingdom 6 468 1.1× 383 1.1× 65 1.5× 70 1.8× 48 1.3× 9 636
Gil Moravsky Israel 12 513 1.2× 98 0.3× 103 2.3× 71 1.8× 77 2.0× 20 565
Radwa Noureldin United States 5 394 0.9× 294 0.9× 54 1.2× 47 1.2× 38 1.0× 10 495
Abiola J Oki United States 5 535 1.2× 572 1.7× 83 1.9× 43 1.1× 36 0.9× 11 720
Emile Missov France 4 360 0.8× 125 0.4× 59 1.3× 25 0.6× 28 0.7× 5 400

Countries citing papers authored by Ciara Cummins

Since Specialization
Citations

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

Fields of papers citing papers by Ciara Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ciara Cummins

This figure shows the co-authorship network connecting the top 25 collaborators of Ciara Cummins. A scholar is included among the top collaborators of Ciara Cummins 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 Ciara Cummins. Ciara Cummins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Hinojar, Rocío, Lucy Foote, Ciara Cummins, et al.. (2016). Standardised postprocessing of native T2 in detection and discrimination of myocarditis - comparison with native T1 mapping. Journal of Cardiovascular Magnetic Resonance. 18. O14–O14. 11 indexed citations
2.
Hinojar, Rocío, Niharika Varma, Nick Child, et al.. (2015). T1 Mapping in Discrimination of Hypertrophic Phenotypes: Hypertensive Heart Disease and Hypertrophic Cardiomyopathy. Circulation Cardiovascular Imaging. 8(12). 191 indexed citations
3.
Dabir, Darius, Nicholas Child, Toby Rogers, et al.. (2014). Reference values for healthy human myocardium using a T1 mapping methodology: results from the International T1 Multicenter cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 16(1). 69–69. 259 indexed citations
4.
Püntmann, Valentina O., Eduardo Arroyo, Darius Dabir, et al.. (2014). Aortic Stiffness and Interstitial Myocardial Fibrosis by Native T1 Are Independently Associated With Left Ventricular Remodeling in Patients With Dilated Cardiomyopathy. Hypertension. 64(4). 762–768. 47 indexed citations
5.
Norton, Michael, et al.. (1999). Dobutamine Stress Echocardiography: Improved Endocardial Border Definition and Wall Motion Analysis with Tissue Harmonic Imaging. Journal of the American Society of Echocardiography. 12(9). 706–713. 16 indexed citations
6.
Norton, M. Y., et al.. (1999). 454 Left ventricular wall thickness assessment with tissue harmonic imaging. European Journal of Echocardiography. 1. S76–S76. 2 indexed citations
7.
Chiro, Giovanni Di, Robert L. DeLaPaz, Bruce A. Smith, et al.. (1981). 18F-2-FLUORO-2-DEOXYGLUCOSE POSITRON EMISSION TOMOGRAPHY OF HUMAN CEREBRAL GLIOMAS. Journal of Computer Assisted Tomography. 5(6). 937–937. 20 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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