Stefan Kiechl

38.5k total citations · 5 hit papers
265 papers, 19.9k citations indexed

About

Stefan Kiechl is a scholar working on Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stefan Kiechl has authored 265 papers receiving a total of 19.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Epidemiology, 55 papers in Molecular Biology and 49 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stefan Kiechl's work include Acute Ischemic Stroke Management (37 papers), Cerebrovascular and Carotid Artery Diseases (28 papers) and Parkinson's Disease Mechanisms and Treatments (25 papers). Stefan Kiechl is often cited by papers focused on Acute Ischemic Stroke Management (37 papers), Cerebrovascular and Carotid Artery Diseases (28 papers) and Parkinson's Disease Mechanisms and Treatments (25 papers). Stefan Kiechl collaborates with scholars based in Austria, Italy and United Kingdom. Stefan Kiechl's co-authors include Johann Willeit, Friedrich Oberhollenzer, Manuel Mayr, Georg Egger, Enzo Bonora, Peter Willeit, Qingbo Xu, Werner Poewe, Agnes Mayr and Michele Muggeo and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Stefan Kiechl

249 papers receiving 19.4k citations

Hit Papers

Plasma MicroRNA Profiling Reveals Loss of Endothe... 1998 2026 2007 2016 2010 2002 1998 2014 2012 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
Stefan Kiechl Austria 76 5.9k 4.2k 3.4k 3.3k 3.0k 265 19.9k
Johann Willeit Austria 74 5.5k 0.9× 4.2k 1.0× 2.8k 0.8× 3.4k 1.1× 2.4k 0.8× 220 19.0k
Peter P. Nawroth Germany 95 9.8k 1.6× 4.0k 1.0× 2.7k 0.8× 6.5k 2.0× 2.3k 0.8× 494 36.3k
Angelika Bierhaus Germany 74 6.2k 1.0× 2.4k 0.6× 1.8k 0.5× 4.5k 1.4× 1.2k 0.4× 247 22.7k
Nikolaus Marx Germany 63 6.5k 1.1× 3.5k 0.8× 5.8k 1.7× 2.4k 0.7× 1.2k 0.4× 530 20.8k
Michiaki Kubo Japan 77 5.1k 0.9× 2.9k 0.7× 1.5k 0.4× 2.0k 0.6× 2.0k 0.7× 385 18.3k
Edwin K. Jackson United States 71 5.8k 1.0× 1.4k 0.3× 3.0k 0.9× 2.7k 0.8× 1.4k 0.5× 502 19.4k
Arnold von Eckardstein Switzerland 82 6.5k 1.1× 2.6k 0.6× 4.0k 1.2× 1.7k 0.5× 2.7k 0.9× 419 22.2k
Hirofumi Makino Japan 74 7.0k 1.2× 2.7k 0.6× 2.9k 0.9× 3.2k 1.0× 1.2k 0.4× 672 23.6k
Claudio Napoli Italy 70 6.2k 1.0× 1.5k 0.4× 4.5k 1.3× 2.5k 0.8× 1.8k 0.6× 450 20.5k
Katsumi Eguchi Japan 72 3.3k 0.6× 3.3k 0.8× 5.2k 1.5× 3.4k 1.0× 733 0.2× 714 19.7k

Countries citing papers authored by Stefan Kiechl

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Kiechl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Kiechl

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kiechl. A scholar is included among the top collaborators of Stefan Kiechl 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 Stefan Kiechl. Stefan Kiechl 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.
Carcel, Cheryl, Hanne Christensen, Gisele Sampaio Silva, et al.. (2025). Sex Differences in the Participation in Secondary Prevention Stroke Studies. Journal of the American Heart Association. 14(5). e038917–e038917.
2.
Gutmann, Clemens, Temo Barwari, Christian Schulte, et al.. (2025). Platelets and inflammation—insights from platelet non-coding RNA content and release in the Bruneck study and the PACMAN-AMI trial. Cardiovascular Research. 121(9). 1392–1406.
4.
Rivasi, Giulia, Hans H. Goebel, Giuseppe Dario Testa, et al.. (2025). Delayed orthostatic hypotension in Parkinson’s disease and in the general ageing population. Age and Ageing. 54(7).
5.
Mayer‐Suess, Lukas, João Pedro Marto, Davide Strambo, et al.. (2024). Sex differences in acute stroke metrics and outcome dependent on COVID status. European Journal of Neurology. 31(5). e16221–e16221. 1 indexed citations
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
8.
Pechlaner, Raimund, Oliver Fiehn, Kimberly Malloy, et al.. (2024). Longitudinal Lipidomic Signature of Coronary Heart Disease in American Indian People. Journal of the American Heart Association. 13(3). e031825–e031825. 1 indexed citations
9.
Clarke, Robert, Lukas Schmidt, Xiaoke Yin, et al.. (2023). Apolipoprotein Proteomics for Residual Lipid-Related Risk in Coronary Heart Disease. Circulation Research. 132(4). 452–464. 25 indexed citations
11.
12.
Boehme, Christian, Thomas Toell, Wilfried Lang, Michael Knoflach, & Stefan Kiechl. (2021). Longer term patient management following stroke: A systematic review. International Journal of Stroke. 16(8). 917–926. 29 indexed citations
13.
Boehme, Christian, Thomas Toell, Lukas Mayer‐Suess, et al.. (2019). The dimension of preventable stroke in a large representative patient cohort. Neurology. 93(23). e2121–e2132. 17 indexed citations
14.
Sommer, Peter, Alexandra Posekany, Wolfgang Serles, et al.. (2018). Is Functional Outcome Different in Posterior and Anterior Circulation Stroke?. Stroke. 49(11). 2728–2732. 65 indexed citations
15.
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
16.
Greisenegger, Stefan, Leonhard Seyfang, Stefan Kiechl, Wilfried Lang, & Julia Ferrari. (2014). Thrombolysis in Patients With Mild Stroke. Stroke. 45(3). 765–769. 50 indexed citations
17.
Topakian, Raffi, Michael Brainin, Stefan Kiechl, et al.. (2010). Thrombolytic therapy for acute stroke in Austria: data from the Safe Implementation of Thrombolysis in Stroke (SITS) register. European Journal of Neurology. 18(2). 306–311. 6 indexed citations
18.
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
19.
Wenning, Gregor K., Stefan Kiechl, Klaus Seppi, et al.. (2005). Prevalence of movement disorders in men and women aged 50–89 years (Bruneck Study cohort): a population-based study. The Lancet Neurology. 4(12). 815–820. 209 indexed citations
20.
Kiechl, Stefan, Georg Schett, Gregor K. Wenning, et al.. (2004). Osteoprotegerin Is a Risk Factor for Progressive Atherosclerosis and Cardiovascular Disease. Circulation. 109(18). 2175–2180. 426 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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