Benjamin Meder

16.5k total citations · 1 hit paper
198 papers, 6.5k citations indexed

About

Benjamin Meder is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Benjamin Meder has authored 198 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Cardiology and Cardiovascular Medicine, 103 papers in Molecular Biology and 44 papers in Cancer Research. Recurrent topics in Benjamin Meder's work include Cardiomyopathy and Myosin Studies (60 papers), MicroRNA in disease regulation (35 papers) and Cardiovascular Function and Risk Factors (28 papers). Benjamin Meder is often cited by papers focused on Cardiomyopathy and Myosin Studies (60 papers), MicroRNA in disease regulation (35 papers) and Cardiovascular Function and Risk Factors (28 papers). Benjamin Meder collaborates with scholars based in Germany, United States and Netherlands. Benjamin Meder's co-authors include Hugo A. Katus, Andreas Keller, Eckart Meese, Jan Haas, Christina Backes, Petra Leidinger, Cord Stähler, Farbod Sedaghat‐Hamedani, Elham Kayvanpour and Karen Frese and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Benjamin Meder

185 papers receiving 6.4k 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.

Distribution of miRNA expression across human tissues

2016 754 citations Petra Leidinger, Christina Backes et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Meder Germany	44	4.1k	2.4k	2.3k	399	370	198	6.5k
Anton J.G. Horrevoets Netherlands	43	4.2k 1.0×	1.8k 0.8×	1.1k 0.5×	1.0k 2.5×	284 0.8×	106	7.1k
Raj Kishore United States	49	4.3k 1.1×	1.7k 0.7×	1.5k 0.6×	1.2k 2.9×	213 0.6×	143	7.1k
Nan Hu China	40	2.8k 0.7×	825 0.3×	1.1k 0.5×	763 1.9×	563 1.5×	199	6.1k
Zhaohui Li China	32	2.0k 0.5×	1.0k 0.4×	676 0.3×	231 0.6×	260 0.7×	203	3.7k
Kenshi Hayashi Japan	36	2.1k 0.5×	649 0.3×	1.8k 0.8×	939 2.4×	211 0.6×	244	5.4k
Allan Lawrie United Kingdom	40	1.3k 0.3×	549 0.2×	1.1k 0.5×	382 1.0×	195 0.5×	106	4.4k
Ning Liu China	29	3.1k 0.8×	977 0.4×	567 0.2×	401 1.0×	77 0.2×	132	4.1k
Reinier A. Boon Germany	40	5.8k 1.4×	4.2k 1.7×	983 0.4×	642 1.6×	48 0.1×	98	7.7k
James West United States	49	2.2k 0.5×	696 0.3×	1.7k 0.7×	655 1.6×	66 0.2×	172	6.4k
Ken Saito Japan	36	2.1k 0.5×	828 0.3×	808 0.4×	1.2k 3.0×	488 1.3×	224	5.2k

Countries citing papers authored by Benjamin Meder

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Meder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Meder

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Meder. A scholar is included among the top collaborators of Benjamin Meder 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 Benjamin Meder. Benjamin Meder 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

Meder, Benjamin, et al.. (2025). Arrhythpy: an automated tool to quantify and classify arrhythmias in Ca ²⁺ transients of iPSC-cardiomyocytes. American Journal of Physiology-Heart and Circulatory Physiology. 329(5). H1110–H1125.

Weberling, Lukas D., Andreas Ochs, Mitchel Benovoy, et al.. (2025). Machine Learning to Automatically Differentiate Hypertrophic Cardiomyopathy, Cardiac Light Chain, and Cardiac Transthyretin Amyloidosis: A Multicenter CMR Study. Circulation Cardiovascular Imaging. 18(7). e017761–e017761. 2 indexed citations

Sedaghat‐Hamedani, Farbod, Ali Amr, Elham Kayvanpour, et al.. (2024). Personalized Care in Dilated Cardiomyopathy: Rationale and Study Design of the activeDCM Trial. ESC Heart Failure. 11(6). 4400–4406. 5 indexed citations

Hannemann, Anke, Sabine Ameling, Marcus Dörr, et al.. (2024). Integrative Analyses of Circulating Proteins and Metabolites Reveal Sex Differences in the Associations with Cardiac Function among DCM Patients. International Journal of Molecular Sciences. 25(13). 6827–6827.

Täger, Tobias, Matthias Mueller‐Hennessen, Markus Weiler, et al.. (2024). Interpretation of Elevated Baseline Concentrations and Serial Changes of High-Sensitivity Cardiac Troponin T in Confirmed Muscular Dystrophies. ESC Heart Failure. 11(6). 3732–3741. 1 indexed citations

Sedaghat‐Hamedani, Farbod, Oliver Heinze, Ali Amr, et al.. (2024). A Remote Patient Monitoring System With Feedback Mechanisms Using a Smartwatch: Concept, Implementation, and Evaluation Based on the activeDCM Randomized Controlled Trial. JMIR mhealth and uhealth. 12. e58441–e58441. 3 indexed citations

Johansson, Åsa, Ole A. Andreassen, Søren Brunak, et al.. (2023). Precision medicine in complex diseases—Molecular subgrouping for improved prediction and treatment stratification. Journal of Internal Medicine. 294(4). 378–396. 35 indexed citations

Rodríguez‐Martínez, Marta, Kai Fenzl, Daniel Schraivogel, et al.. (2023). Mislocalization of pathogenic RBM20 variants in dilated cardiomyopathy is caused by loss-of-interaction with Transportin-3. Nature Communications. 14(1). 4312–4312. 18 indexed citations

O’Sullivan, Jack W., Theresia M. Schnurr, Pagé C. Goddard, et al.. (2023). Genetic architecture of cardiac dynamic flow volumes. Nature Genetics. 56(2). 245–257. 12 indexed citations

10.

Pepin, Mark E., Markus Grosch, Sandra Clauder‐Münster, et al.. (2022). Deep phenotyping of two preclinical mouse models and a cohort of RBM20 mutation carriers reveals no sex-dependent disease severity in RBM20 cardiomyopathy. American Journal of Physiology-Heart and Circulatory Physiology. 323(6). H1296–H1310. 7 indexed citations

11.

Achenbach, Stephan, Friedrich W. Fuchs, Alexandra Gonçalves, et al.. (2021). Non-invasive imaging as the cornerstone of cardiovascular precision medicine. European Heart Journal - Cardiovascular Imaging. 23(4). 465–475. 23 indexed citations

12.

Säger, Sebastian, et al.. (2021). Expert-enhanced machine learning for cardiac arrhythmia classification. PLoS ONE. 16(12). e0261571–e0261571. 11 indexed citations

13.

Briganti, Francesca, Han Sun, Wei Wu, et al.. (2020). iPSC Modeling of RBM20-Deficient DCM Identifies Upregulation of RBM20 as a Therapeutic Strategy. Cell Reports. 32(10). 108117–108117. 40 indexed citations

14.

Jakobi, Tobias, Andreas W. Heumüller, Martin Busch, et al.. (2020). Deep Characterization of Circular RNAs from Human Cardiovascular Cell Models and Cardiac Tissue. Cells. 9(7). 1616–1616. 23 indexed citations

15.

Hey, Thomas Morris, Torsten B. Rasmussen, Trine Madsen, et al.. (2020). Clinical and Genetic Investigations of 109 Index Patients With Dilated Cardiomyopathy and 445 of Their Relatives. Circulation Heart Failure. 13(10). e006701–e006701. 14 indexed citations

16.

Nietsch, Rouven, Jan Haas, Alan Lai, et al.. (2016). The Role of Quality Control in Targeted Next-Generation Sequencing Library Preparation. Genomics Proteomics & Bioinformatics. 14(4). 200–206. 7 indexed citations

17.

Poller, Wolfgang, Martina Gast, Blanche Schroen, et al.. (2014). Abstract 11247: The Long Noncoding MALAT1 - MascRNA System is a Novel Regulator of Cardiac Innate Immunity. Circulation. 130. 1 indexed citations

18.

Meder, Benjamin, Jan Haas, Andreas Keller, et al.. (2011). Targeted Next-Generation Sequencing for the Molecular Genetic Diagnostics of Cardiomyopathies. Circulation Cardiovascular Genetics. 4(2). 110–122. 117 indexed citations

19.

Keller, Andreas, Christina Backes, Petra Leidinger, et al.. (2011). Next-generation sequencing identifies novel microRNAs in peripheral blood of lung cancer patients. Molecular BioSystems. 7(12). 3187–3199. 49 indexed citations

20.

Meder, Benjamin, Katus Ha, & Wolfgang Rottbauer. (2009). Genetik der hypertrophischen Kardiomyopathie. Journal für Kardiologie (Krause & Pachernegg GmbH). 16(7). 274–278. 3 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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