Bernard Witzenbichler

755 total citations · 1 hit paper
6 papers, 480 citations indexed

About

Bernard Witzenbichler is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bernard Witzenbichler has authored 6 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bernard Witzenbichler's work include Cardiac Imaging and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers) and Coronary Interventions and Diagnostics (3 papers). Bernard Witzenbichler is often cited by papers focused on Cardiac Imaging and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers) and Coronary Interventions and Diagnostics (3 papers). Bernard Witzenbichler collaborates with scholars based in Germany, United States and Italy. Bernard Witzenbichler's co-authors include Helen Parise, Roxana Mehran, Gregg W. Stone, Frederick Feit, Magnus Öhman, Tim Clayton, Eugenia Nikolsky, Martin Fahy, Steven V. Manoukian and George Dangas and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and International Journal of Cardiology.

In The Last Decade

Bernard Witzenbichler

6 papers receiving 459 citations

Hit Papers

A Risk Score to Predict B... 2010 2026 2015 2020 2010 100 200 300 400
What are hit papers?

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.

  1. A Risk Score to Predict Bleeding in Patients With Acute Coronary Syndromes
    2010 444 citations Roxana Mehran, Stuart Pocock et al. Journal of the American College of Cardiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Witzenbichler Germany 4 451 184 120 49 40 6 480
R. Afzal United Kingdom 6 361 0.8× 112 0.6× 133 1.1× 59 1.2× 35 0.9× 7 405
Franck Barbou France 7 376 0.8× 201 1.1× 136 1.1× 34 0.7× 83 2.1× 21 458
Sherry J. Saxonhouse United States 7 460 1.0× 71 0.4× 161 1.3× 16 0.3× 32 0.8× 10 504
Alice Frangione Italy 3 527 1.2× 418 2.3× 63 0.5× 32 0.7× 35 0.9× 7 550
Kyehwan Kim South Korea 11 191 0.4× 81 0.4× 42 0.3× 43 0.9× 37 0.9× 52 271
Yee Cheng Lau United Kingdom 8 295 0.7× 52 0.3× 97 0.8× 31 0.6× 31 0.8× 23 365
Şevket Görgülü Türkiye 12 203 0.5× 163 0.9× 67 0.6× 61 1.2× 167 4.2× 37 360
Michael Lincoff United States 8 272 0.6× 208 1.1× 77 0.6× 92 1.9× 84 2.1× 17 339
Sara Ariotti Italy 13 369 0.8× 214 1.2× 62 0.5× 48 1.0× 61 1.5× 28 438
Chand Ramaiah United States 7 331 0.7× 216 1.2× 96 0.8× 12 0.2× 37 0.9× 14 424

Countries citing papers authored by Bernard Witzenbichler

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Witzenbichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Witzenbichler

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

All Works

6 of 6 papers shown
1.
2.
Dizon, José, Sorin J. Brener, Akiko Maehara, et al.. (2013). Relationship between ST-segment resolution and anterior infarct size after primary percutaneous coronary intervention: analysis from the INFUSE-AMI trial. European Heart Journal Acute Cardiovascular Care. 3(1). 78–83. 24 indexed citations
3.
Kollum, Marc, Thomas Heitzer, Claudia Schmoor, et al.. (2012). Intra-individual head-to-head comparison of Sirolimus®- and Paclitaxel®-eluting stents for coronary revascularization. A randomized, multi-center trial. International Journal of Cardiology. 167(4). 1552–1559. 3 indexed citations
4.
Mehran, Roxana, Stuart Pocock, Eugenia Nikolsky, et al.. (2010). A Risk Score to Predict Bleeding in Patients With Acute Coronary Syndromes. Journal of the American College of Cardiology. 55(23). 2556–2566. 444 indexed citations breakdown →
5.
6.
Hetzer, Roland, et al.. (2002). [Surgical angioplasty of the left main coronary artery. Evaluation and postoperative follow-up with intravascular ultrasound].. Zeitschrift für Kardiologie. 91(10). 846. 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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