Márton Tokodi

1.8k total citations
73 papers, 1.0k citations indexed

About

Márton Tokodi is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Márton Tokodi has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cardiology and Cardiovascular Medicine, 27 papers in Pulmonary and Respiratory Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Márton Tokodi's work include Cardiovascular Function and Risk Factors (46 papers), Pulmonary Hypertension Research and Treatments (25 papers) and Cardiovascular Effects of Exercise (19 papers). Márton Tokodi is often cited by papers focused on Cardiovascular Function and Risk Factors (46 papers), Pulmonary Hypertension Research and Treatments (25 papers) and Cardiovascular Effects of Exercise (19 papers). Márton Tokodi collaborates with scholars based in Hungary, United States and Japan. Márton Tokodi's co-authors include Attila Kovács, Béla Merkely, Bálint Károly Lakatos, Alexandra Fábián, Partho P. Sengupta, Zoltán Tősér, Nobuyuki Kagiyama, Annamária Kosztin, Mihály Ruppert and Naveena Yanamala and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Márton Tokodi

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Márton Tokodi Hungary	22	812	349	233	159	150	73	1.0k
Bálint Károly Lakatos Hungary	21	791 1.0×	379 1.1×	150 0.6×	202 1.3×	161 1.1×	85	1.0k
Linyuan Jing United States	16	615 0.8×	91 0.3×	288 1.2×	121 0.8×	159 1.1×	36	855
Maria Concetta Pastore Italy	18	712 0.9×	70 0.2×	292 1.3×	183 1.2×	65 0.4×	93	888
Alaa Mabrouk Salem Omar United States	11	844 1.0×	91 0.3×	610 2.6×	176 1.1×	119 0.8×	55	1.2k
Laura Sanchís Spain	16	599 0.7×	68 0.2×	203 0.9×	89 0.6×	107 0.7×	86	711
Jamieson M. Bourque United States	16	793 1.0×	64 0.2×	835 3.6×	301 1.9×	70 0.5×	56	1.2k
Bjørnar Grenne Norway	18	1.3k 1.6×	68 0.2×	869 3.7×	320 2.0×	93 0.6×	66	1.5k
David P Ripley United Kingdom	20	834 1.0×	131 0.4×	792 3.4×	278 1.7×	108 0.7×	95	1.2k
Karl‐Patrik Kresoja Germany	17	994 1.2×	206 0.6×	102 0.4×	238 1.5×	287 1.9×	67	1.3k
Gregory J Wehner United States	13	506 0.6×	77 0.2×	264 1.1×	104 0.7×	127 0.8×	27	701

Countries citing papers authored by Márton Tokodi

Since Specialization

Citations

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

Fields of papers citing papers by Márton Tokodi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Márton Tokodi

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

All Works

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20 of 20 papers shown

Kagiyama, Nobuyuki, Márton Tokodi, Quincy A. Hathaway, et al.. (2025). PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation. JACC. Cardiovascular imaging. 19(2). 225–251. 1 indexed citations

Fábián, Alexandra, Andrea Ferencz, Bálint Károly Lakatos, et al.. (2025). Integrating Left Atrial Reservoir Strain Into the First-Line Assessment of Diastolic Function: Prognostic Implications in a Community-Based Cohort With Normal Left Ventricular Systolic Function. Journal of the American Society of Echocardiography. 38(7). 570–582. 1 indexed citations

Jamthikar, Ankush D., Rohan Shah, Márton Tokodi, Partho P. Sengupta, & Naveena Yanamala. (2024). Dissecting the latent representation of age inside a deep neural network’s predictions of diastolic dysfunction using echocardiographic variables. Biomedical Signal Processing and Control. 92. 106013–106013. 1 indexed citations

Tokodi, Márton, Rohan Shah, Ankush D. Jamthikar, et al.. (2024). Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis. JACC. Cardiovascular imaging. 18(2). 150–165. 2 indexed citations

Fábián, Alexandra, Márton Tokodi, Attila Kovács, et al.. (2024). The effects of mitral stenosis on right ventricular mechanics assessed by three-dimensional echocardiography. Scientific Reports. 14(1). 17112–17112.

Kovács, Attila, Andrea Cascella, Alexandra Fábián, et al.. (2024). Significant Disagreement Between Conventional Parameters and 3D Echocardiography-Derived Ejection Fraction in the Detection of Right Ventricular Systolic Dysfunction and Its Association With Outcomes. Journal of the American Society of Echocardiography. 37(7). 677–686. 4 indexed citations

Kwan, Alan C., Ernest W. Chang, François Haddad, et al.. (2024). Deep Learning-Derived Myocardial Strain. JACC. Cardiovascular imaging. 17(7). 715–725. 23 indexed citations

Tokodi, Márton, Annamária Kosztin, Attila Kovács, et al.. (2024). Machine learning-based prediction of 1-year all-cause mortality in patients undergoing CRT implantation: validation of the SEMMELWEIS-CRT score in the European CRT Survey I dataset. European Heart Journal - Digital Health. 5(5). 563–571.

Fábián, Alexandra, Alina Nicoara, Márton Tokodi, et al.. (2023). Right ventricular pressure-strain-volume loop-derived myocardial work for the noninvasive assessment of volume overload-induced dysfunction in patients with secondary tricuspid regurgitation. European Heart Journal. 44(Supplement_2).

10.

Tokodi, Márton, Attila Kovács, István Osztheimer, et al.. (2023). Phenogrouping and risk stratification of patients undergoing cardiac resynchronization therapy upgrade using topological data analysis. Scientific Reports. 13(1). 20594–20594. 3 indexed citations

11.

Tokodi, Márton, Nándor Szegedi, Zoltán Salló, et al.. (2023). Machine-Learning-Based Prediction of 1-Year Arrhythmia Recurrence after Ventricular Tachycardia Ablation in Patients with Structural Heart Disease. Bioengineering. 10(12). 1386–1386. 3 indexed citations

12.

Tokodi, Márton, Bálint Károly Lakatos, Alexandra Fábián, et al.. (2022). DEEP LEARNING-BASED PREDICTION OF RIGHT VENTRICULAR EJECTION FRACTION USING 2D ECHOCARDIOGRAMS. Journal of the American College of Cardiology. 79(9). 2045–2045. 7 indexed citations

13.

Molnár, Andrea, Márton Kolossváry, Bálint Károly Lakatos, et al.. (2021). Left Ventricular Systolic Function Has Strong Independent Genetic Background from Diastolic Function: A Classical Twin Study. Medicina. 57(9). 935–935. 1 indexed citations

14.

Tokodi, Márton, Attila Kovács, Endre Zima, et al.. (2021). Long-term survival following upgrade compared with de novo cardiac resynchronization therapy implantation: a single-centre, high-volume experience. EP Europace. 23(8). 1310–1318. 9 indexed citations

15.

Surkova, Elena, Attila Kovács, Bálint Károly Lakatos, et al.. (2021). Contraction patterns of the systemic right ventricle: a three-dimensional echocardiography study. European Heart Journal - Cardiovascular Imaging. 23(12). 1654–1662. 13 indexed citations

16.

Tokodi, Márton, Bálint Károly Lakatos, Attila Kovács, et al.. (2021). The Impact of COVID-19 on the Preparation for the Tokyo Olympics: A Comprehensive Performance Assessment of Top Swimmers. International Journal of Environmental Research and Public Health. 18(18). 9770–9770. 26 indexed citations

17.

Lakatos, Bálint Károly, Mihály Ruppert, Márton Tokodi, et al.. (2021). Myocardial Work Index: A Marker of Left Ventricular Contractility in Pressure- or Volume Overload-Induced Heart Failure. ESC Heart Failure. 8(3). 2220–2231. 22 indexed citations

18.

Lakatos, Bálint Károly, et al.. (2020). Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography. Journal of Visualized Experiments. 4 indexed citations

19.

Tokodi, Márton, Endre Németh, Bálint Károly Lakatos, et al.. (2020). Right Ventricular Mechanical Pattern in Patients Undergoing Mitral Valve Surgery: A Predictor of Post-Operative Dysfunction?. ESC Heart Failure. 7(3). 1246–1256. 25 indexed citations

20.

Tokodi, Márton, Attila Kovács, Zoltán Tősér, et al.. (2019). Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score. European Heart Journal. 41(18). 1747–1756. 76 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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