Michael Aschermann

5.1k total citations
144 papers, 2.0k citations indexed

About

Michael Aschermann is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Michael Aschermann has authored 144 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Cardiology and Cardiovascular Medicine, 33 papers in Pulmonary and Respiratory Medicine and 26 papers in Surgery. Recurrent topics in Michael Aschermann's work include Pulmonary Hypertension Research and Treatments (25 papers), Acute Myocardial Infarction Research (23 papers) and Cardiac Imaging and Diagnostics (19 papers). Michael Aschermann is often cited by papers focused on Pulmonary Hypertension Research and Treatments (25 papers), Acute Myocardial Infarction Research (23 papers) and Cardiac Imaging and Diagnostics (19 papers). Michael Aschermann collaborates with scholars based in Czechia, United States and Spain. Michael Aschermann's co-authors include Aleš Linhart, Jan Bultas, Tomáš Paleček, Debora Karetová, Petr Widimský, M. Elleder, J. Ledvinová, José Carlos Nicolau, Faı̈ez Zannad and Bertram Pitt and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Michael Aschermann

125 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Aschermann Czechia 19 1.2k 528 355 344 338 144 2.0k
Michael Kapeliovich Israel 26 1.3k 1.0× 530 1.0× 400 1.1× 316 0.9× 86 0.3× 49 2.2k
Georgios Chalikias Greece 27 812 0.7× 375 0.7× 341 1.0× 336 1.0× 217 0.6× 85 1.8k
Sabine Genth‐Zotz Germany 22 1.1k 0.9× 282 0.5× 188 0.5× 257 0.7× 220 0.7× 49 1.8k
Jacek S. Dubiel Poland 23 1.7k 1.4× 673 1.3× 205 0.6× 128 0.4× 410 1.2× 155 2.2k
Nicholas L. Cruden United Kingdom 20 1.0k 0.8× 1.0k 1.9× 544 1.5× 228 0.7× 383 1.1× 44 2.6k
Renaud Fay France 24 1.2k 1.0× 412 0.8× 338 1.0× 187 0.5× 102 0.3× 67 2.1k
Antonio D’Aloia Italy 25 1.6k 1.3× 331 0.6× 374 1.1× 234 0.7× 92 0.3× 119 2.1k
Anthony L. Pucillo United States 15 910 0.7× 505 1.0× 248 0.7× 290 0.8× 250 0.7× 53 1.7k
Pasquale Mastroroberto Italy 24 1.3k 1.0× 846 1.6× 500 1.4× 237 0.7× 274 0.8× 118 2.4k
Atiye Çengel Türkiye 23 916 0.7× 377 0.7× 277 0.8× 241 0.7× 189 0.6× 127 1.8k

Countries citing papers authored by Michael Aschermann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Aschermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Aschermann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Aschermann. A scholar is included among the top collaborators of Michael Aschermann 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 Michael Aschermann. Michael Aschermann 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.
2.
Jansa, Pavel, David Ambrož, Michael Aschermann, et al.. (2022). Hospitalisation Is Prognostic of Survival in Chronic Thromboembolic Pulmonary Hypertension. Journal of Clinical Medicine. 11(20). 6189–6189. 1 indexed citations
3.
Aschermann, Michael. (2022). The year in cardiovascular medicine 2021. Cor et Vasa. 64(Suppl.4). 5–6. 1 indexed citations
4.
Gatzov, Plamen, Jean-Jacques Monsuez, Gergely Ágoston, et al.. (2021). Heart failure 2019. Insights from the National Society of Cardiology Journals. REC CardioClinics. 56(4). 296–298. 1 indexed citations
5.
Ambrož, David, Pavel Jansa, Jan Bělohlávek, et al.. (2020). Predictors of survival in patients with pulmonary hypertension and acute right heart failure. Bratislavské lekárske listy/Bratislava medical journal. 121(3). 230–235. 7 indexed citations
6.
Aschermann, Michael. (2018). Cor et Vasa issue dedicated to case reports for the fifth time. Cor et Vasa. 60(5). 2 indexed citations
7.
Toušek, Petr, František Toušek, Michael Želı́zko, et al.. (2017). Trends in the treatment and outcomes of elderly patients with acute coronary syndrome: Results from the CZECH registries. Cor et Vasa. 60(1). e66–e69. 1 indexed citations
8.
Toušek, Petr, David Hořák, František Toušek, et al.. (2014). Trends in epidemiology and the treatment of acute coronary syndromes in the Czech Republic: Comparison of the CZECH-1 and CZECH-2 registries. Cor et Vasa. 56(4). e285–e290. 2 indexed citations
9.
Alfonso, Fernándo, Adam Timmis, Fausto J. Pinto, et al.. (2012). Conflict of Interest Policies and Disclosure Requirements Among European Society of Cardiology National Cardiovascular Journals. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).
10.
Hubáček, Jaroslav A., V. Staněk, Michael Aschermann, et al.. (2010). Why We Are Not Able to Find the Coronary Heart Disease Gene – apoE As an Example. Folia Biologica. 56(5). 218–222. 6 indexed citations
11.
Skalická, Hana, et al.. (2009). [Myocardial infarction, left ventricle remodeling and cellular therapy].. PubMed. 55(1). 37–44. 1 indexed citations
12.
Piťha, Jan, Jaroslav A. Hubáček, R. Poledne, et al.. (2007). Genetic determination of the prognosis in survivors of acute coronary syndromes. Study design and rationale for a multicenter study. Cor et Vasa. 49(4). 134–137. 11 indexed citations
13.
Widimský, Petr, Zuzana Moťovská, Dana Bilkova, et al.. (2007). The impact of age and Killip class on outcomes of primary percutaneous coronary intervention. Insight from the PRAGUE-1 and -2 trials and registry.. PubMed. 2(4). 481–6. 5 indexed citations
14.
15.
Paleček, Tomáš, Aleš Linhart, Pavel Jansa, et al.. (2005). [Takotsubo cardiomyopathy: case report and literature review].. PubMed. 144(6). 405–9. 3 indexed citations
16.
Pitt, Bertram, Harvey D. White, José Carlos Nicolau, et al.. (2005). Eplerenone Reduces Mortality 30 Days After Randomization Following Acute Myocardial Infarction in Patients With Left Ventricular Systolic Dysfunction and Heart Failure. Journal of the American College of Cardiology. 46(3). 425–431. 266 indexed citations
17.
Lubanda, Jean-Claude, et al.. (2004). Tobacco use amongst high school students in the Czech Republic.. PubMed. 12(1). 32–5. 6 indexed citations
18.
Lubanda, Jean-Claude, et al.. (2004). How does the time to treatment affects the long-term prognosis for patients with acute myocardial infarction treated with primary coronary angioplasty?. Kardiologia Polska. 61(8). 99–99. 2 indexed citations
19.
Veselka, Josef, et al.. (2000). Direct stenting without predilatation: a new approach to coronary intervention. Coronary Artery Disease. 11(6). 503–507. 10 indexed citations
20.
Holaj, Robert, et al.. (1998). [Relation of the thickness of the intima and media of the common carotid artery, atherosclerotic plaque in the carotids and manifestations of atherosclerosis in the vessels of the lower extremity in comparison to coronary atherosclerosis].. PubMed. 137(23). 716–20. 5 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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