Mátyás Keltai

25.2k total citations · 6 hit papers
71 papers, 7.0k citations indexed

About

Mátyás Keltai is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Internal Medicine. According to data from OpenAlex, Mátyás Keltai has authored 71 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cardiology and Cardiovascular Medicine, 22 papers in Surgery and 10 papers in Internal Medicine. Recurrent topics in Mátyás Keltai's work include Atrial Fibrillation Management and Outcomes (20 papers), Antiplatelet Therapy and Cardiovascular Diseases (17 papers) and Acute Myocardial Infarction Research (17 papers). Mátyás Keltai is often cited by papers focused on Atrial Fibrillation Management and Outcomes (20 papers), Antiplatelet Therapy and Cardiovascular Diseases (17 papers) and Acute Myocardial Infarction Research (17 papers). Mátyás Keltai collaborates with scholars based in Hungary, United States and Canada. Mátyás Keltai's co-authors include Salim Yusuf, Andrzej Budaj, Leopoldo Soares Piegas, Lars Wallentin, Sonia S. Anand, Shofiqul Islam, Sumathy Rangarajan, Maria Grazia Franzosi, Feng Zhao and Alexander Parkhomenko and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Mátyás Keltai

67 papers receiving 6.6k citations

Hit Papers

Renal outcomes with telmi... 2000 2026 2008 2017 2008 2003 2008 2000 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mátyás Keltai Hungary 30 5.3k 1.8k 1.5k 900 661 71 7.0k
Dayi Hu China 43 4.1k 0.8× 1.5k 0.8× 1.0k 0.7× 905 1.0× 368 0.6× 354 7.0k
Peter Bramlage Germany 44 4.1k 0.8× 1.7k 0.9× 2.1k 1.5× 465 0.5× 398 0.6× 464 7.7k
John Goudevenos Greece 38 3.1k 0.6× 1.6k 0.9× 723 0.5× 416 0.5× 497 0.8× 194 6.3k
Maria Grazia Franzosi Italy 31 5.5k 1.0× 1.8k 1.0× 1.3k 0.9× 1.2k 1.4× 844 1.3× 73 8.6k
Susan J. Zieman United States 35 6.5k 1.2× 2.1k 1.2× 814 0.6× 492 0.5× 1.7k 2.5× 62 9.1k
Sarah Parish United Kingdom 10 3.1k 0.6× 2.6k 1.5× 1.5k 1.1× 359 0.4× 721 1.1× 15 6.4k
Peggy Gao Canada 36 3.1k 0.6× 1.3k 0.7× 744 0.5× 845 0.9× 389 0.6× 70 5.4k
Jaap W. Deckers Netherlands 50 7.4k 1.4× 2.9k 1.7× 990 0.7× 725 0.8× 2.0k 3.0× 201 10.7k
Philip R. Liebson United States 32 8.4k 1.6× 2.1k 1.2× 792 0.5× 490 0.5× 2.1k 3.1× 96 10.1k
Alexander Parkhomenko United States 26 6.4k 1.2× 883 0.5× 878 0.6× 1.6k 1.7× 371 0.6× 83 8.0k

Countries citing papers authored by Mátyás Keltai

Since Specialization
Citations

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

Fields of papers citing papers by Mátyás Keltai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mátyás Keltai

This figure shows the co-authorship network connecting the top 25 collaborators of Mátyás Keltai. A scholar is included among the top collaborators of Mátyás Keltai 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 Mátyás Keltai. Mátyás Keltai 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.
Bassand, Jean‐Pierre, Saverio Virdone, A. John Camm, et al.. (2023). Oral anticoagulation across diabetic subtypes in patients with newly diagnosed atrial fibrillation: A report from the GARFIELD‐AF registry. Diabetes Obesity and Metabolism. 25(10). 3040–3053. 1 indexed citations
2.
Caterina, Raffaele De, Giuseppe Patti, John D. Horowitz, et al.. (2020). Heterogeneity of diabetes as a risk factor for major adverse cardiovascular events in anticoagulated patients with atrial fibrillation: an analysis of the ARISTOTLE trial. European Heart Journal - Cardiovascular Pharmacotherapy. 8(3). 227–235. 5 indexed citations
3.
Hijazi, Ziad, Christopher B. Granger, Stefan H. Hohnloser, et al.. (2020). Association of Different Estimates of Renal Function With Cardiovascular Mortality and Bleeding in Atrial Fibrillation. Journal of the American Heart Association. 9(18). e017155–e017155. 5 indexed citations
4.
Andell, Pontus, Stefan James, Christopher P. Cannon, et al.. (2015). TICAGRELOR VERSUS CLOPIDOGREL IN PATIENTS WITH ACUTE CORONARY SYNDROMES AND CHRONIC OBSTRUCTIVE PULMONARY DISEASE: AN ANALYSIS FROM THE PLATELET INHIBITION AND PATIENT OUTCOMES (PLATO) TRIAL. Journal of the American College of Cardiology. 65(10). A114–A114. 1 indexed citations
5.
Flaker, Greg, Renato D. Lópes, Elaine M. Hylek, et al.. (2014). Amiodarone, Anticoagulation, and Clinical Events in Patients With Atrial Fibrillation. Journal of the American College of Cardiology. 64(15). 1541–1550. 81 indexed citations
6.
Bonaca, Marc P., Sabina A. Murphy, Debra L. Miller, et al.. (2014). Patterns of Long‐term Thienopyridine Therapy and Outcomes in Patients With Acute Coronary Syndrome Treated With Coronary Stenting: Observations From the TIMI‐38 Coronary Stent Registry. Clinical Cardiology. 37(5). 293–299. 4 indexed citations
7.
Bahit, M. Cecilia, Renato D. Lópes, Daniel Wojdyla, et al.. (2013). Apixaban in patients with atrial fibrillation and prior coronary artery disease: Insights from the ARISTOTLE trial. International Journal of Cardiology. 170(2). 215–220. 46 indexed citations
8.
Bahit, M. Cecilia, Renato D. Lópes, S. H. Hohnloser, et al.. (2012). Abstract 13026: Apixaban in Patients with Atrial Fibrillation and Prior Coronary Artery Disease: Insights from the ARISTOTLE Trial. Circulation. 126. 2 indexed citations
9.
James, Stefan, Andrzej Budaj, Philip E. Aylward, et al.. (2010). Ticagrelor Versus Clopidogrel in Acute Coronary Syndromes in Relation to Renal Function. Circulation. 122(11). 1056–1067. 259 indexed citations
10.
Anand, Sonia S., Shofiqul Islam, Annika Rosengren, et al.. (2008). Risk factors for myocardial infarction in women and men: insights from the INTERHEART study. European Heart Journal. 29(7). 932–940. 622 indexed citations breakdown →
12.
Keltai, Mátyás, Marcello Tonelli, Johannes F.E. Mann, et al.. (2007). Renal function and outcomes in acute coronary syndrome: impact of clopidogrel. European Journal of Cardiovascular Prevention & Rehabilitation. 14(2). 312–318. 100 indexed citations
15.
Mancia, Giuseppe, Mátyás Keltai, Serap Erdine, et al.. (2004). Risk of adverse cardiovascular outcomes and new diabetes with combination therapy in hypertensive patients with coronary artery disease: the INternational VErapamil SR-Trandolapril STudy (INVEST). European Heart Journal. 25. 423–424.
16.
Piegas, Leopoldo Soares, Marcus Flather, Janice Pogue, et al.. (1999). The Organization to Assess Strategies for Ischemic Syndromes (OASIS) registry in patients with unstable angina. The American Journal of Cardiology. 84(5). 7–12. 13 indexed citations
17.
19.
Krämer, J, Katalin Rajczy, László Hegyi, et al.. (1994). C4B*Q0 allotype as risk factor for myocardial infarction. BMJ. 309(6950). 313–314. 32 indexed citations
20.
Romics, L, et al.. (1978). [Roentgen anatomy of and serum lipids in the coronary vessels in ischemic heart disease].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 119(15). 895–7.

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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