A C Guta

520 total citations
16 papers, 353 citations indexed

About

A C Guta is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, A C Guta has authored 16 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 4 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in A C Guta's work include Cardiac Valve Diseases and Treatments (14 papers), Cardiovascular Function and Risk Factors (11 papers) and Cardiac Imaging and Diagnostics (3 papers). A C Guta is often cited by papers focused on Cardiac Valve Diseases and Treatments (14 papers), Cardiovascular Function and Risk Factors (11 papers) and Cardiac Imaging and Diagnostics (3 papers). A C Guta collaborates with scholars based in Italy, Romania and United States. A C Guta's co-authors include Denisa Muraru, Luigi P. Badano, Gianfranco Parati, Diana Mihalcea, Roberto Carlos Ochoa-Jimenez, Michele Tomaselli, Dipan J. Shah, Yang Zhan, Omar Khalique and João L. Cavalcante and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

A C Guta

15 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A C Guta Italy	8	341	148	73	60	44	16	353
George Petrossian United States	10	266 0.8×	123 0.8×	128 1.8×	94 1.6×	100 2.3×	27	326
Gilles Amr France	6	165 0.5×	140 0.9×	80 1.1×	39 0.7×	37 0.8×	10	188
Julien Dreyfus France	12	377 1.1×	213 1.4×	86 1.2×	90 1.5×	60 1.4×	49	399
Raj Makkar United States	4	284 0.8×	191 1.3×	105 1.4×	67 1.1×	61 1.4×	17	289
Mauro Massussi Italy	9	251 0.7×	118 0.8×	51 0.7×	77 1.3×	66 1.5×	24	273
Quentin Delpierre France	7	246 0.7×	101 0.7×	62 0.8×	51 0.8×	77 1.8×	12	260
Koteswara R. Pothineni United States	10	257 0.8×	126 0.9×	91 1.2×	91 1.5×	70 1.6×	17	308
Rutger Nuis Netherlands	5	333 1.0×	203 1.4×	73 1.0×	56 0.9×	58 1.3×	11	348
Camille Hauville United States	11	295 0.9×	176 1.2×	73 1.0×	90 1.5×	65 1.5×	17	319
Ariana González-Gómez Spain	10	300 0.9×	105 0.7×	30 0.4×	58 1.0×	117 2.7×	13	306

Countries citing papers authored by A C Guta

Since Specialization

Citations

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

Fields of papers citing papers by A C Guta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A C Guta

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

All Works

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16 of 16 papers shown

Malahfji, Maan, A C Guta, Michael J. Reardon, et al.. (2025). Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation. JACC. Cardiovascular imaging. 18(5). 557–568.

Guta, A C, Duc T. Nguyen, Fatima Qamar, et al.. (2023). Prevalence and Clinical Implications of Tricuspid Valve Prolapse Based on Magnetic Resonance Diagnostic Criteria. Journal of the American College of Cardiology. 81(9). 882–893. 5 indexed citations

Muraru, Denisa, Mara Gavazzoni, Francesca Heilbron, et al.. (2022). Reference ranges of tricuspid annulus geometry in healthy adults using a dedicated three-dimensional echocardiography software package. Frontiers in Cardiovascular Medicine. 9. 1011931–1011931. 22 indexed citations

Guta, A C, Luigi P. Badano, Michele Tomaselli, et al.. (2021). The Pathophysiological Link between Right Atrial Remodeling and Functional Tricuspid Regurgitation in Patients with Atrial Fibrillation: A Three-Dimensional Echocardiography Study. Journal of the American Society of Echocardiography. 34(6). 585–594.e1. 64 indexed citations

Scorsin, Marcio, Martin Andreas, Silvia Paola Corona, et al.. (2021). Novel Transcatheter Mitral Prosthesis Designed to Preserve Physiological Ventricular Flow Dynamics. The Annals of Thoracic Surgery. 113(2). 593–599. 3 indexed citations

Figliozzi, Stefano, A C Guta, Michele Tomaselli, et al.. (2021). Atrial functional tricuspid regurgitation: a novel and underappreciated clinical entity. SHILAP Revista de lepidopterología. 31(1). 27–35. 1 indexed citations

Muraru, Denisa, Sergio Caravita, A C Guta, et al.. (2020). Functional Tricuspid Regurgitation and Atrial Fibrillation: Which Comes First, the Chicken or the Egg?. CASE. 4(5). 458–463. 34 indexed citations

Muraru, Denisa, Karima Addetia, A C Guta, et al.. (2020). Right atrial volume is a major determinant of tricuspid annulus area in functional tricuspid regurgitation: a three-dimensional echocardiographic study. European Heart Journal - Cardiovascular Imaging. 22(6). 660–669. 79 indexed citations

Mihalcea, Diana, A C Guta, Gianfranco Parati, et al.. (2020). Sex, body size and right atrial volume are the main determinants of tricuspid annulus geometry in healthy volunteers. A 3D echo study using a novel, commercially-available dedicated software package. European Heart Journal. 41(Supplement_2). 1 indexed citations

10.

Muraru, Denisa, Marco Previtero, Roberto Carlos Ochoa-Jimenez, et al.. (2020). Prognostic validation of partition values for quantitative parameters to grade functional tricuspid regurgitation severity by conventional echocardiography. European Heart Journal - Cardiovascular Imaging. 22(2). 155–165. 41 indexed citations

11.

Previtero, Marco, A C Guta, Roberto Carlos Ochoa-Jimenez, et al.. (2020). 38 Prognostic validation of partition values obtained with conventional two-dimensional and doppler echocardiography to grade tricuspid regurgitation severity. European Heart Journal - Cardiovascular Imaging. 21(Supplement_1). 2 indexed citations

12.

Badano, Luigi P., Patrizia Aruta, Kim Nguyen, et al.. (2019). Principali applicazioni dell’ecocardiografia tridimensionale nell’attuale pratica clinica. Giornale italiano di cardiologia. 20(12). 722–735. 2 indexed citations

13.

Khalique, Omar, João L. Cavalcante, Dipan J. Shah, et al.. (2019). Multimodality Imaging of the Tricuspid Valve and Right Heart Anatomy. JACC. Cardiovascular imaging. 12(3). 516–531. 72 indexed citations

14.

Guta, A C, et al.. (2019). P583A classical dilemma - to be or not to be constriction - solved by CMR. European Heart Journal - Cardiovascular Imaging. 20(Supplement_2). 1 indexed citations

15.

Guta, A C, Luigi P. Badano, Roberto Carlos Ochoa-Jimenez, et al.. (2019). Three-dimensional echocardiography to assess left ventricular geometry and function. Expert Review of Cardiovascular Therapy. 17(11). 801–815. 14 indexed citations

16.

Aruta, Patrizia, Denisa Muraru, A C Guta, et al.. (2018). Comparison of mitral annulus geometry between patients with ischemic and non-ischemic functional mitral regurgitation: implications for transcatheter mitral valve implantation. Cardiovascular Ultrasound. 16(1). 27–27. 12 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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