Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Arterial Stiffness, Wave Reflections, and the Risk of Coronary Artery Disease
2003871 citationsThomas Weber, Johann Auer et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Bernd Eber'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 Bernd Eber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Eber more than expected).
This network shows the impact of papers produced by Bernd Eber. 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 Bernd Eber. The network helps show where Bernd Eber may publish in the future.
Co-authorship network of co-authors of Bernd Eber
This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Eber.
A scholar is included among the top collaborators of Bernd Eber 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 Bernd Eber. Bernd Eber is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Weber, Thomas, Robert Zweiker, Helmut Brussee, et al.. (2014). Renale Sympathikusdenervierung 2014 in Österreich: Update der Empfehlungen der Öster- reichischen Gesellschaft für Hypertensiologie. 18(2). 54–60.2 indexed citations
Lautsch, Dominik, et al.. (2012). Is there a Link Between Non-HDL Cholesterol and Blood Pressure? An Age and Gender Directed Analysis of 7500 Hypertensive Outpatients. Journal für Kardiologie (Krause & Pachernegg GmbH). 19(1). 11–16.3 indexed citations
Rammer, M, et al.. (2009). Management der oralen Antikoagulation bei Operationen und anderen invasiven Eingriffen. Journal für Kardiologie (Krause & Pachernegg GmbH). 16(11). 417–421.1 indexed citations
7.
Eber, Bernd, et al.. (2007). Fixkombination Enalapril/Nitrendipin* in der täglichen Praxis - Effektivität und Verträglichkeit bei 1.262 österreichischen Hypertonikern. Journal für Kardiologie (Krause & Pachernegg GmbH). 11(2). 22–25.1 indexed citations
Auer, Johann, et al.. (2001). Homocysteine and Risk of Cardiovascular Disease. Journal of clinical and basic cardiology. 4(4). 261–264.8 indexed citations
Auer, Johann, et al.. (2000). Statine - ein Update. 7(1). 29–38.
16.
Eber, Bernd, et al.. (2000). Alpha 1-Rezeptoren-Blocker in der Hypertoniebehandlung. Journal für Kardiologie (Krause & Pachernegg GmbH). 7(2). 79–83.1 indexed citations
17.
Auer, Johann, Robert Berent, & Bernd Eber. (2000). Aortic dissection: incidence, natural history and impact of surgery. Journal of clinical and basic cardiology. 3(3). 151–154.34 indexed citations
18.
Kirchgatterer, A, et al.. (1999). [Analysis of referral diagnoses of patients with normal coronary angiogram].. PubMed. 111(11). 434–8.5 indexed citations
19.
Auer, Johann & Bernd Eber. (1999). Current aspects of statins. Journal of clinical and basic cardiology. 2(2). 203–208.3 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.