Norbert Frey

41.1k total citations · 3 hit papers
500 papers, 11.9k citations indexed

About

Norbert Frey is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Norbert Frey has authored 500 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 308 papers in Cardiology and Cardiovascular Medicine, 160 papers in Molecular Biology and 85 papers in Surgery. Recurrent topics in Norbert Frey's work include Cardiomyopathy and Myosin Studies (64 papers), Cardiovascular Function and Risk Factors (55 papers) and Cardiac Valve Diseases and Treatments (52 papers). Norbert Frey is often cited by papers focused on Cardiomyopathy and Myosin Studies (64 papers), Cardiovascular Function and Risk Factors (55 papers) and Cardiac Valve Diseases and Treatments (52 papers). Norbert Frey collaborates with scholars based in Germany, United States and United Kingdom. Norbert Frey's co-authors include Eric N. Olson, Hugo A. Katus, Derk Frank, Joseph A. Hill, Mark Luedde, James A. Richardson, Timothy A. McKinsey, Christian Kühn, Matthias Lutz and Ashraf Yusuf Rangrez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.

In The Last Decade

Norbert Frey

447 papers receiving 11.7k citations

Hit Papers

align trajectories

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.

Cardiac Hypertrophy: The Good, the Bad, and the Ugly

2003 1.2k citations Norbert Frey, Eric N. Olson profile →
Hypertrophy of the Heart

2004 673 citations Norbert Frey, Hugo A. Katus et al. Circulation profile →
A systematic framework for understanding the microbiome in human health and disease: from basic principles to clinical translation

2024 72 citations Norbert Frey et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Norbert Frey Germany	49	6.4k	5.2k	1.4k	1.1k	1.1k	500	11.9k
Stefan Frantz Germany	56	4.2k 0.7×	6.6k 1.3×	2.1k 1.5×	1.3k 1.1×	1.1k 1.0×	269	12.3k
Hugh Watkins United Kingdom	70	6.6k 1.0×	12.7k 2.4×	2.0k 1.4×	1.6k 1.4×	1.1k 1.1×	294	17.9k
Jennifer E. Van Eyk United States	75	11.0k 1.7×	5.0k 1.0×	1.7k 1.2×	1.0k 0.9×	2.2k 2.0×	423	20.2k
Stéphane Heymans Netherlands	63	5.7k 0.9×	8.4k 1.6×	2.0k 1.4×	924 0.8×	3.4k 3.2×	253	14.6k
Hans W.M. Niessen Netherlands	50	3.0k 0.5×	4.6k 0.9×	1.9k 1.3×	1.3k 1.2×	792 0.7×	259	11.2k
Markus Meyer United States	49	7.3k 1.1×	4.3k 0.8×	778 0.5×	773 0.7×	2.7k 2.5×	206	12.8k
Michael Marber United Kingdom	58	4.1k 0.6×	3.8k 0.7×	1.6k 1.1×	497 0.4×	502 0.5×	248	10.5k
Hideo A. Baba Germany	51	4.1k 0.6×	2.4k 0.5×	2.5k 1.7×	1.4k 1.3×	1.5k 1.4×	346	10.4k
Imo E. Hoefer Netherlands	52	4.4k 0.7×	2.3k 0.4×	2.6k 1.8×	946 0.9×	1.4k 1.3×	250	9.8k
Masatoshi Fujita Japan	54	5.0k 0.8×	3.2k 0.6×	1.8k 1.3×	1.6k 1.4×	661 0.6×	368	12.2k

Countries citing papers authored by Norbert Frey

Since Specialization

Citations

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

Fields of papers citing papers by Norbert Frey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Frey

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

All Works

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20 of 20 papers shown

Ochs, Andreas, Janek Salatzki, Lukas D. Weberling, et al.. (2025). Dynamic handgrip exercise for the detection of myocardial ischemia using fast Strain-ENCoded cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 27(1). 101879–101879. 1 indexed citations

Wünnemann, Florian, Junedh Amrute, Jovan Tanevski, et al.. (2025). Spatial multiomics of acute myocardial infarction reveals immune cell infiltration through the endocardium. Nature Cardiovascular Research. 4(10). 1345–1362.

Lee, Subin, Dimitrios Mouselimis, Andreas A. Giannopoulos, et al.. (2025). Composite cardiac computed tomography angiography score for improved risk assessment in chronic coronary syndromes. Scientific Reports. 15(1). 3089–3089.

Boileau, Etienne, et al.. (2025). A novel uORF regulates folliculin to promote cell growth and lysosomal biogenesis during cardiac stress. Scientific Reports. 15(1). 3319–3319. 1 indexed citations

Hund, Hauke, et al.. (2025). Outcomes and Disease Management in Patients With Atrial Fibrillation ≥80 Years: Data From a Consecutive 11‐Year Real‐World Registry. Journal of the American Heart Association. 14(4). e036832–e036832.

Nasta, Sunita D., Jakub Svoboda, Stefan K. Barta, et al.. (2025). Prolonged Neurologic Symptoms Following Immune Effector Cell-Associated Neurotoxicity Syndrome in Patients With Large B-cell Lymphoma Treated With Chimeric Antigen Receptor-Modified T Cell Therapy. Transplantation and Cellular Therapy. 31(4). 228–235. 2 indexed citations

Frey, Norbert & Johannes Backs. (2025). Adipokine–Cardiomyocyte Crosstalk. Journal of the American College of Cardiology. 86(16). 1243–1245.

Stolz, Lukas, et al.. (2024). RV-PA uncoupling is a strong predictor of 3-year all-cause mortality in transthyretin amyloid cardiomyopathy. European Heart Journal. 45(Supplement_1).

Zimmermann, Johannes, Sven Schuchardt, Derk Frank, et al.. (2023). Amino acid auxotrophies in human gut bacteria are linked to higher microbiome diversity and long-term stability. The ISME Journal. 17(12). 2370–2380. 33 indexed citations

10.

Puehler, Thomas, Georg Lutter, Matthias Lutz, et al.. (2023). Is the outcome of elective vs non-elective patients undergoing transcatheter aortic valve implantation different? Results of a single-centre, observational assessment of outcomes at a large university clinic. BMC Cardiovascular Disorders. 23(1). 295–295.

11.

Smits, Jacqueline M., Anna L. Meyer, Udo Boeken, et al.. (2023). Outcomes in patients with cardiac amyloidosis undergoing heart transplantation: the eurotransplant experience. The Journal of Heart and Lung Transplantation. 42(6). 778–785. 6 indexed citations

12.

Rahm, Ann‐Kathrin, et al.. (2023). Differential Effects of the Betablockers Carvedilol, Metoprolol and Bisoprolol on Cardiac Kv4.3 (Ito) Channel Isoforms. International Journal of Molecular Sciences. 24(18). 13842–13842. 2 indexed citations

13.

Täger, Tobias, Jennifer Franke, Norbert Frey, Lutz Frankenstein, & Hanna Fröhlich. (2022). Prognostic relevance of gradual weight changes on long-term mortality in chronic heart failure. Nutrition Metabolism and Cardiovascular Diseases. 33(2). 416–423. 4 indexed citations

14.

Müller, Oliver J., Martina E. Spehlmann, & Norbert Frey. (2018). Cardio-toxicity of checkpoint inhibitors. Journal of Thoracic Disease. 10(S35). S4400–S4404. 20 indexed citations

15.

Spaich, Sebastian, Rainer Will, Steffen Just, et al.. (2012). F-Box and Leucine-Rich Repeat Protein 22 Is a Cardiac-Enriched F-Box Protein That Regulates Sarcomeric Protein Turnover and Is Essential for Maintenance of Contractile Function In Vivo. Circulation Research. 111(12). 1504–1516. 47 indexed citations

16.

Anderssohn, Maike, Mark Rosenberg, Edzard Schwedhelm, et al.. (2012). The L-Arginine–Asymmetric Dimethylarginine Ratio is an Independent Predictor of Mortality in Dilated Cardiomyopathy. Journal of Cardiac Failure. 18(12). 904–911. 40 indexed citations

17.

Roderburg, Christoph, Mark Luedde, David Vargas Cardenas, et al.. (2012). miR-133a mediates TGF-β-dependent derepression of collagen synthesis in hepatic stellate cells during liver fibrosis. Journal of Hepatology. 58(4). 736–742. 104 indexed citations

18.

Frey, Norbert, et al.. (2011). Abstract 12069: Deceleration Capacity is a Powerful Predictor of Overall Mortality in Patients with Non-Ischemic Dilated Cardiomyopathy. Circulation. 124. 2 indexed citations

19.

Seeger, Thalia S., Derk Frank, Claudia M. Rohr, et al.. (2010). Myozap, a Novel Intercalated Disc Protein, Activates Serum Response Factor–Dependent Signaling and Is Required to Maintain Cardiac Function In Vivo. Circulation Research. 106(5). 880–890. 45 indexed citations

20.

Chorianopoulos, Emmanuel, et al.. (2009). Decreased Soluble TWEAK Levels Predict an Adverse Prognosis in Patients with Chronic Stable Heart Failure. European Journal of Heart Failure. 11(11). 1050–1056. 61 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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