Peter Willeit

57.3k total citations · 6 hit papers
145 papers, 9.2k citations indexed

About

Peter Willeit is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Surgery. According to data from OpenAlex, Peter Willeit has authored 145 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 25 papers in Physiology and 24 papers in Surgery. Recurrent topics in Peter Willeit's work include Lipoproteins and Cardiovascular Health (15 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and COVID-19 Clinical Research Studies (14 papers). Peter Willeit is often cited by papers focused on Lipoproteins and Cardiovascular Health (15 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and COVID-19 Clinical Research Studies (14 papers). Peter Willeit collaborates with scholars based in Austria, United Kingdom and United States. Peter Willeit's co-authors include Stefan Kiechl, Johann Willeit, Manuel Mayr, Agnes Mayr, Anna Zampetaki, Siegfried Weger, Ignat Drozdov, Florian Kronenberg, Friedrich Oberhollenzer and Marianna Prokopi and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Peter Willeit

131 papers receiving 9.1k citations

Hit Papers

Plasma MicroRNA Profiling Reveals Loss of Endothelial MiR... 2010 2026 2015 2020 2010 2014 2014 2018 2018 250 500 750 1000
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. Plasma MicroRNA Profiling Reveals Loss of Endothelial MiR-126 and Other MicroRNAs in Type 2 Diabetes
    2010 1.2k citations Anna Zampetaki, Stefan Kiechl et al. profile →
  2. Leucocyte telomere length and risk of cardiovascular disease: systematic review and meta-analysis
    2014 645 citations Peter Willeit et al. profile →
  3. Lipidomics Profiling and Risk of Cardiovascular Disease in the Prospective Population-Based Bruneck Study
    2014 418 citations Peter Willeit, Sarah R. Langley et al. Circulation profile →
  4. Environmental toxic metal contaminants and risk of cardiovascular disease: systematic review and meta-analysis
    2018 414 citations Setor K. Kunutsor, Peter Willeit et al. profile →
  5. Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials
    2018 365 citations Peter Willeit, Florian Kronenberg et al. profile →
  6. Breastfeeding Is Associated With a Reduced Maternal Cardiovascular Risk: Systematic Review and Meta‐Analysis Involving Data From 8 Studies and 1 192 700 Parous Women
    2022 113 citations Lena Tschiderer, Lisa Seekircher et al. Journal of the American Heart Association profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Willeit Austria 47 3.0k 2.4k 2.3k 1.7k 1.6k 145 9.2k
José E. Tanus‐Santos Brazil 55 1.8k 0.6× 1.9k 0.8× 3.9k 1.7× 3.4k 2.0× 1.1k 0.7× 397 13.5k
Adam S. Butterworth United Kingdom 35 2.7k 0.9× 911 0.4× 2.1k 0.9× 1.4k 0.8× 1.8k 1.1× 78 12.0k
Masafumi Kuzuya Japan 57 2.3k 0.8× 1.4k 0.6× 2.3k 1.0× 1.2k 0.7× 1.4k 0.9× 387 10.2k
Michael V. Holmes United Kingdom 41 2.5k 0.8× 797 0.3× 1.6k 0.7× 1.2k 0.7× 1.8k 1.1× 137 10.9k
Tanja Zeller Germany 48 2.7k 0.9× 1.2k 0.5× 675 0.3× 4.0k 2.3× 1.4k 0.9× 351 9.8k
Zhengyuan Xia China 50 3.2k 1.1× 844 0.4× 1.2k 0.5× 1.5k 0.9× 1.1k 0.7× 275 8.9k
Cornelia M. Ulrich United States 72 5.2k 1.7× 2.2k 0.9× 3.6k 1.6× 519 0.3× 1.6k 1.0× 354 18.2k
Andrea Mezzetti Italy 58 1.9k 0.6× 1.1k 0.5× 1.1k 0.5× 2.5k 1.5× 1.9k 1.2× 184 10.3k
Yukihito Higashi Japan 61 2.8k 0.9× 813 0.3× 2.4k 1.0× 4.5k 2.6× 2.3k 1.4× 331 12.8k
Kenji Wakai Japan 58 2.1k 0.7× 1.1k 0.5× 1.7k 0.7× 574 0.3× 2.1k 1.3× 432 12.7k

Countries citing papers authored by Peter Willeit

Since Specialization
Citations

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

Fields of papers citing papers by Peter Willeit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Willeit

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Willeit. A scholar is included among the top collaborators of Peter Willeit 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 Peter Willeit. Peter Willeit 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.
Rockenschaub, Patrick, Bernhard Pfeifer, Peter Willeit, et al.. (2025). Weather‐Associated Variations of Device‐Detected Severe Sleep Apnea in Cardiac Pacemaker Patients. Journal of Sleep Research. 34(5). e70024–e70024. 1 indexed citations
3.
Seekircher, Lisa, et al.. (2025). XN-1000 Hematology Analyzer as an Alternative to Flow Cytometry for Measuring Residual Cells in Blood Components. Annals of Laboratory Medicine. 45(4). 437–449.
4.
Tschiderer, Lena, Diederick E. Grobbee, Patrick Rockenschaub, et al.. (2025). Smoking as a Risk Factor for Cardiovascular Disease in Females and Males: Observational and Mendelian Randomisation Analyses in the UK Biobank. Global Heart. 20(1). 93–93. 1 indexed citations
5.
Seekircher, Lisa, et al.. (2025). Optimized Protocol for Producing Pathogen-inactivated Double-dose Platelet Concentrates From Six Pooled Buffy Coats. Annals of Laboratory Medicine. 45(6). 601–608.
6.
Willeit, Karin, Christian Boehme, Thomas Toell, et al.. (2024). High-Sensitivity Cardiac Troponin T and Cardiovascular Risk After Ischemic Stroke or Transient Ischemic Attack. JACC Advances. 3(7). 101022–101022. 3 indexed citations
7.
Beliveau, Vincent, Florian Krismer, Marina Peball, et al.. (2024). Long‐Term Medication Profiles in Parkinson's Disease under Subthalamic Deep Brain Stimulation: A Controlled Study. Movement Disorders Clinical Practice. 11(7). 855–860. 1 indexed citations
8.
Seekircher, Lisa, et al.. (2024). Anti-SARS-CoV-2 IgG Seroprevalence in Tyrol, Austria, among 28,768 Blood Donors between May 2022 and March 2023. Vaccines. 12(3). 284–284. 7 indexed citations
9.
Laukkanen, Jari A., Nzechukwu M. Isiozor, Peter Willeit, & Setor K. Kunutsor. (2023). Haemodynamic Gain Index Is Associated with Risk of Sudden Cardiac Death and Improves Risk Prediction: A Cohort Study. Cardiology. 148(3). 246–256. 3 indexed citations
10.
Tschiderer, Lena, Yvonne T. van der Schouw, Stephen Burgess, et al.. (2023). Hypertensive disorders of pregnancy and cardiovascular disease risk: a Mendelian randomisation study. Heart. 110(10). 710–717. 4 indexed citations
11.
12.
Heidinger, Martin, Christian Boehme, Michael Knoflach, et al.. (2022). Hospitalization rates, stroke unit care, and recurrence rates in Austria’s stroke cohort Epidemiologic analysis of 102,107 patients in a nation-wide acute stroke cohort between 2015 and 2019. European Stroke Journal. 7(4). 467–475. 6 indexed citations
13.
Welsh, Paul, Claire Welsh, Carlos Celis‐Morales, et al.. (2020). Lipoprotein(a) and cardiovascular disease: prediction, attributable risk fraction and estimating benefits from novel interventions. European Heart Journal. 41(Supplement_2). 6 indexed citations
14.
Willeit, Peter, Calvin Yeang, Patrick M. Moriarty, et al.. (2020). Low‐Density Lipoprotein Cholesterol Corrected for Lipoprotein(a) Cholesterol, Risk Thresholds, and Cardiovascular Events. Journal of the American Heart Association. 9(23). e016318–e016318. 38 indexed citations
15.
Tschiderer, Lena, Gerhard Klingenschmid, Lisa Seekircher, & Peter Willeit. (2020). Carotid intima‐media thickness predicts carotid plaque development: Meta‐analysis of seven studies involving 9341 participants. European Journal of Clinical Investigation. 50(4). e13217–e13217. 21 indexed citations
16.
Sangiao‐Alvarellos, Susana, Konstantinos Theofilatos, Temo Barwari, et al.. (2020). Metabolic recovery after weight loss surgery is reflected in serum microRNAs. BMJ Open Diabetes Research & Care. 8(2). e001441–e001441. 20 indexed citations
17.
Zampetaki, Anna, Peter Willeit, Xiaoke Yin, et al.. (2015). Angiogenic microRNAs Linked to Incidence and Progression of Diabetic Retinopathy in Type 1 Diabetes. Diabetes. 65(1). 216–227. 95 indexed citations
18.
Kaudewitz, Dorothee, Regent Lee, Peter Willeit, et al.. (2013). Abstract 18427: Impact of Medication on Quantification of Plasma MicroRNAs in Patients With Cardiovascular Disease. Circulation. 128(suppl_22).
19.
Barallobre‐Barreiro, Javier, Athanasios Didangelos, Friedrich A. Schoendube, et al.. (2012). Proteomics Analysis of Cardiac Extracellular Matrix Remodeling in a Porcine Model of Ischemia/Reperfusion Injury. Circulation. 125(6). 789–802. 168 indexed citations
20.
Ehrlenbach, Silvia, Peter Willeit, Stefan Kiechl, et al.. (2009). Influences on the reduction of relative telomere length over 10 years in the population-based Bruneck Study: introduction of a well-controlled high-throughput assay. International Journal of Epidemiology. 38(6). 1725–1734. 152 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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