H. A. Katus

1.6k total citations
24 papers, 1.1k citations indexed

About

H. A. Katus is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, H. A. Katus has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in H. A. Katus's work include Viral Infections and Immunology Research (5 papers), Cardiomyopathy and Myosin Studies (4 papers) and Virus-based gene therapy research (3 papers). H. A. Katus is often cited by papers focused on Viral Infections and Immunology Research (5 papers), Cardiomyopathy and Myosin Studies (4 papers) and Virus-based gene therapy research (3 papers). H. A. Katus collaborates with scholars based in Germany, United States and United Kingdom. H. A. Katus's co-authors include L G Ljungdahl, Jan Ravkilde, E. Peheim, W. Gerhardt, Poul J. Jørgensen, Christian W. Hamm, Johannes Backs, M. Mollova, Stefanie Schinkel and Jörg Zehelein and has published in prestigious journals such as The Lancet, Scientific Reports and European Heart Journal.

In The Last Decade

H. A. Katus

23 papers receiving 1.0k citations

Peers

H. A. Katus
Robert Thomas United States
M. Dan McKirnan United States
Anthony DiPaula United States
K Iwai Japan
Muhammad R. Afzal United States
H. A. Katus
Citations per year, relative to H. A. Katus H. A. Katus (= 1×) peers Jaime García‐Prieto

Countries citing papers authored by H. A. Katus

Since Specialization
Citations

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

Fields of papers citing papers by H. A. Katus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. A. Katus. 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 H. A. Katus. The network helps show where H. A. Katus may publish in the future.

Co-authorship network of co-authors of H. A. Katus

This figure shows the co-authorship network connecting the top 25 collaborators of H. A. Katus. A scholar is included among the top collaborators of H. A. Katus 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 H. A. Katus. H. A. Katus 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.
Kayvanpour, Elham, Farbod Sedaghat‐Hamedani, Ali Amr, et al.. (2025). Safety and Prognostic Value of Left Ventricular Endomyocardial Biopsy in Dilated Cardiomyopathy. European Journal of Heart Failure. 27(12). 3029–3039.
2.
Furkel, Jennifer, Shabana Din, Ingke Braren, et al.. (2020). A novel approach to genetic engineering of T-cell subsets by hematopoietic stem cell infection with a bicistronic lentivirus. Scientific Reports. 10(1). 13740–13740. 2 indexed citations
3.
Mollova, M., H. A. Katus, & Johannes Backs. (2015). Regulation of CaMKII signaling in cardiovascular disease. Frontiers in Pharmacology. 6. 178–178. 50 indexed citations
4.
Åkerblom, Axel, Stefan James, H. A. Katus, et al.. (2014). Efficacy and safety of ticagrelor in patients with acute coronary syndrome and heart failure : insights from the platelet inhibition and patient outcomes (PLATO) trial. European Heart Journal. 35. 202–203. 1 indexed citations
5.
Vogel, Britta, Andreas Keller, Karen Frese, et al.. (2013). Multivariate miRNA signatures as biomarkers for non-ischaemic systolic heart failure. European Heart Journal. 34(36). 2812–2823. 84 indexed citations
6.
Jaguszewski, Miłosz, Jelena R. Ghadri, L. Christian Napp, et al.. (2013). A signature of circulating microRNAs differentiates takotsubo cardiomyopathy from acute myocardial infarction. European Heart Journal. 35(15). 999–1006. 214 indexed citations
7.
Raake, Philip, Jens Barthelmes, Stefanie Schinkel, et al.. (2012). AAV6. ARKct cardiac gene therapy ameliorates cardiac function and normalizes the catecholaminergic axis in a clinically relevant large animal heart failure model. European Heart Journal. 34(19). 1437–1447. 126 indexed citations
8.
Wallentin, Lars, Stefan James, Evangelos Giannitsis, et al.. (2012). Outcomes with Ticagrelor Versus Clopidogrel in Relation to High Sensitivity Troponin-T in Non-ST-Elevation Acute Coronary Syndrome Patients Managed with Early Invasive or Non-Invasive Treatment - A Substudy from the Prospective Randomized PLATelet Inhibition and Patient Outcomes (PLATO) Trial. 2 indexed citations
9.
Kloos, Wanda, H. A. Katus, & Benjamin Meder. (2012). Genetic cardiomyopathies. Herz. 37(6). 612–618. 8 indexed citations
10.
Díez, Mary Carmen, et al.. (2011). Heart transplantation in rapidly progressive end-stage heart failure associated with celiac disease. BMJ Case Reports. 2011. bcr1220103624–bcr1220103624. 7 indexed citations
11.
Kristen, Arnt V., Dirk Loßnitzer, Hans‐Christoph Friederich, et al.. (2010). Acupuncture improves exercise tolerance of patients with heart failure: a placebo-controlled pilot study. Heart. 96(17). 1396–1400. 39 indexed citations
12.
Doesch, Andreas, Silke Mueller, Mathias H. Konstandin, et al.. (2010). 44: Malignancies after Heart Transplantation: Incidence, Risk Factors, and Effects of Calcineurin Inhibitor Withdrawal. The Journal of Heart and Lung Transplantation. 29(2). S21–S21. 1 indexed citations
13.
Rutschow, Désirée, Ralf Bauer, Stefanie Schinkel, et al.. (2009). Prevention of cardiomyopathy in  -sarcoglycan knockout mice after systemic transfer of targeted adeno-associated viral vectors. Cardiovascular Research. 82(3). 404–410. 45 indexed citations
14.
Hosch, Waldemar, M. Libicher, Sebastian Ley, et al.. (2008). Magnetresonanztomografie bei kardialer Amyloidose - Morphologie, Funktion und late enhancement. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 180(7). 639–645. 4 indexed citations
15.
Leuschner, Florian, Jin Li, Stefan Göser, et al.. (2008). Absence of auto-antibodies against cardiac troponin I predicts improvement of left ventricular function after acute myocardial infarction. European Heart Journal. 29(16). 1949–1955. 83 indexed citations
16.
Lang, Shanshan, Albrecht Elsässer, Sylvia Vetter, et al.. (2005). Myocardial preconditioning and remote renal preconditioning. Basic Research in Cardiology. 101(2). 149–158. 68 indexed citations
17.
Chun, K. R. Julian, Michael Koenen, H. A. Katus, & Jörg Zehelein. (2004). Expression of the IKr components KCNH2 (rERG) and KCNE2 (rMiRP1) during late rat heart development. Experimental & Molecular Medicine. 36(4). 367–371. 28 indexed citations
18.
Franz, Wolfgang‐Michael, Matthias Müller, Oliver J. Müller, et al.. (2000). Association of nonsense mutation of dystrophin gene with disruption of sarcoglycan complex in X-linked dilated cardiomyopathy. The Lancet. 355(9217). 1781–1785. 41 indexed citations
19.
Klein, G., et al.. (1998). Clinical performance of the new cardiac markers troponin T and CK-MB on the Elecsys 2010. A multicentre evaluation.. PubMed. 110 Suppl 3. 40–51. 16 indexed citations
20.
Senges, J, et al.. (1974). [Direct action of anaphylaxis on the myocardium: ectopic disorders in formation of nervous impulses].. PubMed. 40. 284–6. 1 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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