Razvan O. Mada

1.3k total citations
8 papers, 166 citations indexed

About

Razvan O. Mada is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Razvan O. Mada has authored 8 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Pathology and Forensic Medicine and 2 papers in Epidemiology. Recurrent topics in Razvan O. Mada's work include Cardiac Valve Diseases and Treatments (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Razvan O. Mada is often cited by papers focused on Cardiac Valve Diseases and Treatments (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Razvan O. Mada collaborates with scholars based in Belgium, Romania and Germany. Razvan O. Mada's co-authors include Jürgen Duchenne, Jens‐Uwe Voigt, Ana Maria Daraban, Peter Lysyansky, Lucian Mureşan, Crina Mureșan, Cristina Pamfil, Gabriel Guşetu, Simona Rednic and Ştefan Horia Roşian and has published in prestigious journals such as JACC. Cardiovascular imaging, Journal of the American Society of Echocardiography and Catheterization and Cardiovascular Interventions.

In The Last Decade

Razvan O. Mada

8 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Razvan O. Mada Belgium	8	122	58	27	27	27	8	166
Giulia Stronati Italy	11	224 1.8×	27 0.5×	48 1.8×	36 1.3×	17 0.6×	42	290
Alejandro Pizano United States	7	59 0.5×	26 0.4×	9 0.3×	24 0.9×	21 0.8×	27	134
Bhradeev Sivasambu United States	9	225 1.8×	43 0.7×	9 0.3×	13 0.5×	12 0.4×	22	278
Elena M. van Leeuwen-Segarceanu Netherlands	5	126 1.0×	54 0.9×	20 0.7×	36 1.3×	4 0.1×	6	171
Jacob Thomsen Lønborg Denmark	8	118 1.0×	79 1.4×	25 0.9×	12 0.4×	11 0.4×	19	195
Noman Ali United Kingdom	10	147 1.2×	16 0.3×	23 0.9×	77 2.9×	78 2.9×	29	225
Gergely Ágoston Hungary	9	74 0.6×	32 0.6×	79 2.9×	70 2.6×	23 0.9×	35	201
Marek Grabka Poland	6	133 1.1×	64 1.1×	22 0.8×	56 2.1×	13 0.5×	19	181
Ewa Pilichowska‐Paszkiet Poland	9	183 1.5×	45 0.8×	4 0.1×	19 0.7×	11 0.4×	16	222
O Ergene Türkiye	7	77 0.6×	16 0.3×	8 0.3×	30 1.1×	17 0.6×	15	148

Countries citing papers authored by Razvan O. Mada

Since Specialization

Citations

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

Fields of papers citing papers by Razvan O. Mada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Razvan O. Mada. 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 Razvan O. Mada. The network helps show where Razvan O. Mada may publish in the future.

Co-authorship network of co-authors of Razvan O. Mada

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

All Works

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8 of 8 papers shown

Mureşan, Lucian, Gabriel Cismaru, Crina Mureșan, et al.. (2022). Beta-blockers for the treatment of arrhythmias: Bisoprolol – a systematic review. Annales Pharmaceutiques Françaises. 80(5). 617–634. 16 indexed citations

Duchenne, Jürgen, Piet Claus, Efstathios D. Pagourelias, et al.. (2018). Sheep can be used as animal model of regional myocardial remodeling and controllable work. Cardiology Journal. 26(4). 375–384. 12 indexed citations

Pagourelias, Efstathios D., Ana Maria Daraban, Razvan O. Mada, et al.. (2017). Right ventricular remodelling after transcatheter pulmonary valve implantation. Catheterization and Cardiovascular Interventions. 90(3). 407–417. 14 indexed citations

Mureşan, Lucian, Razvan O. Mada, Cristina Pamfil, et al.. (2017). Relationship Between Ventricular Arrhythmias, Conduction Disorders, and Myocardial Fibrosis in Patients With Systemic Sclerosis. JCR Journal of Clinical Rheumatology. 24(1). 25–33. 13 indexed citations

Mureşan, Lucian, Cristina Pamfil, Crina Mureșan, et al.. (2017). Cardiovascular profiles of scleroderma patients with arrhythmias and conduction disorders.. PubMed. 41(1). 26–39. 14 indexed citations

Mada, Razvan O., Peter Lysyansky, Jürgen Duchenne, et al.. (2016). New Automatic Tools to Identify Responders to Cardiac Resynchronization Therapy. Journal of the American Society of Echocardiography. 29(10). 966–972. 21 indexed citations

Mada, Razvan O., Peter Lysyansky, Ana Maria Daraban, Jürgen Duchenne, & Jens‐Uwe Voigt. (2015). How to Define End-Diastole and End-Systole?. JACC. Cardiovascular imaging. 8(2). 148–157. 58 indexed citations

Mada, Razvan O., Jürgen Duchenne, & Jens‐Uwe Voigt. (2014). Tissue Doppler, Strain and Strain Rate in ischemic heart disease “How I do it”. Cardiovascular Ultrasound. 12(1). 38–38. 18 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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