Michael Gotthardt

11.2k total citations · 3 hit papers
87 papers, 6.8k citations indexed

About

Michael Gotthardt is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Michael Gotthardt has authored 87 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cardiology and Cardiovascular Medicine, 58 papers in Molecular Biology and 10 papers in Cell Biology. Recurrent topics in Michael Gotthardt's work include Cardiomyopathy and Myosin Studies (41 papers), RNA Research and Splicing (17 papers) and Muscle Physiology and Disorders (16 papers). Michael Gotthardt is often cited by papers focused on Cardiomyopathy and Myosin Studies (41 papers), RNA Research and Splicing (17 papers) and Muscle Physiology and Disorders (16 papers). Michael Gotthardt collaborates with scholars based in Germany, United States and United Kingdom. Michael Gotthardt's co-authors include Robert E. Hammer, Joachim Herz, Joachim Herz, Walter Stockinger, Johannes Nimpf, James A. Richardson, Henk Granzier, Marion Trommsdorff, John M. Shelton and Thomas Hiesberger and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Gotthardt

82 papers receiving 6.7k 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.

Reeler/Disabled-like Disruption of Neuronal Migration in Knockout Mice Lacking the VLDL Receptor and ApoE Receptor 2

1999 1.1k citations Marion Trommsdorff, Michael Gotthardt et al. Cell profile →
The Complete Gene Sequence of Titin, Expression of an Unusual ≈700-kDa Titin Isoform, and Its Interaction With Obscurin Identify a Novel Z-Line to I-Band Linking System

2001 523 citations Michael Gotthardt, Henk Granzier et al. profile →
Neuronal sorting protein-related receptor sorLA/LR11 regulates processing of the amyloid precursor protein

2005 510 citations Michael Gotthardt, Tilman Breiderhoff et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Gotthardt Germany	37	3.8k	2.2k	1.2k	1.0k	1.0k	87	6.8k
Christopher L. Antos Germany	22	4.8k 1.3×	2.1k 1.0×	601 0.5×	514 0.5×	413 0.4×	31	6.2k
Jianhua Feng China	29	4.5k 1.2×	693 0.3×	1.6k 1.3×	540 0.5×	939 0.9×	101	6.8k
Hanna Osińska United States	44	5.7k 1.5×	3.2k 1.5×	1.4k 1.2×	618 0.6×	627 0.6×	89	8.2k
Sachiyo Kawamoto United States	30	4.1k 1.1×	971 0.4×	1.3k 1.1×	920 0.9×	608 0.6×	49	6.0k
Kazuyasu Chihara Japan	17	5.5k 1.5×	743 0.3×	3.6k 3.0×	1.3k 1.2×	1.1k 1.1×	32	8.4k
Kenji Sobue Japan	47	4.8k 1.3×	721 0.3×	2.7k 2.2×	1.7k 1.6×	758 0.8×	145	7.9k
Kunfu Ouyang China	33	3.8k 1.0×	1.2k 0.5×	553 0.5×	568 0.5×	493 0.5×	94	5.3k
Midori Maekawa Japan	16	4.8k 1.3×	626 0.3×	2.7k 2.2×	1.1k 1.1×	1.1k 1.1×	21	7.4k
Neil Q. McDonald United Kingdom	47	4.2k 1.1×	392 0.2×	1.0k 0.8×	1.1k 1.0×	846 0.8×	100	6.6k
Yusu Gu United States	45	5.2k 1.4×	4.3k 2.0×	930 0.8×	600 0.6×	696 0.7×	116	8.7k

Countries citing papers authored by Michael Gotthardt

Since Specialization

Citations

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

Fields of papers citing papers by Michael Gotthardt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gotthardt

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

Küehne, Titus, Ulrike Löber, Gabriele G. Schiattarella, et al.. (2025). Deep Phenotyping of Heart Failure with Preserved Ejection Fraction Through Multi-Omics Integration. European Journal of Heart Failure. 27(12). 3243–3259. 2 indexed citations

Gotthardt, Michael. (2025). RNA-binding proteins as therapeutic targets in cardiac fibrosis and heart failure. European Heart Journal. 47(1). 128–130.

Rudolph, Franziska, Michaël Radkë, Stephan Preibisch, et al.. (2024). Visualizing sarcomere and cellular dynamics in skeletal muscle to improve cell therapies. eLife. 13.

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

Grosch, Markus, Kleopatra Rapti, Anne-Maud Ferreira, et al.. (2023). Striated muscle-specific base editing enables correction of mutations causing dilated cardiomyopathy. Nature Communications. 14(1). 3714–3714. 25 indexed citations

Nordmeyer, Sarah, Matthias Ziehm, Marieluise Kirchner, et al.. (2023). Disease- and sex-specific differences in patients with heart valve disease: a proteome study. Life Science Alliance. 6(3). e202201411–e202201411. 5 indexed citations

Ortíz-Zapater, Elena, Dustin Bagley, Virginia Llopis-Hernández, et al.. (2022). Epithelial coxsackievirus adenovirus receptor promotes house dust mite-induced lung inflammation. Nature Communications. 13(1). 6407–6407. 13 indexed citations

Lin, Ying‐Hsi, Joshua G. Travers, Sara A. Wennersten, et al.. (2022). HDAC6 modulates myofibril stiffness and diastolic function of the heart. Journal of Clinical Investigation. 132(10). 35 indexed citations

Matthaeus, Claudia, René Jüttner, Michael Gotthardt, & Fritz G. Rathjen. (2022). The IgCAM CAR Regulates Gap Junction-Mediated Coupling on Embryonic Cardiomyocytes and Affects Their Beating Frequency. Life. 13(1). 14–14. 2 indexed citations

10.

Vieira-Vieira, Carlos H., Vita Dauksaite, Anje Sporbert, Michael Gotthardt, & Matthias Selbach. (2022). Proteome-wide quantitative RNA-interactome capture identifies phosphorylation sites with regulatory potential in RBM20. Molecular Cell. 82(11). 2069–2083.e8. 13 indexed citations

11.

Radkë, Michaël, Thiago Britto‐Borges, Dieter A. Kubli, et al.. (2021). Therapeutic inhibition of RBM20 improves diastolic function in a murine heart failure model and human engineered heart tissue. Science Translational Medicine. 13(622). eabe8952–eabe8952. 32 indexed citations

12.

Einsiedel, Jürgen, Michael Gotthardt, Harald Hübner, et al.. (2021). Visualization of β-adrenergic receptor dynamics and differential localization in cardiomyocytes. Proceedings of the National Academy of Sciences. 118(23). 35 indexed citations

13.

Gotthardt, Michael, et al.. (2020). Assessment of nanoindentation in stiffness measurement of soft biomaterials: kidney, liver, spleen and uterus. Scientific Reports. 10(1). 18784–18784. 23 indexed citations

14.

Rudolph, Franziska, Marieluise Kirchner, Michaël Radkë, et al.. (2020). Deconstructing sarcomeric structure–function relations in titin-BioID knock-in mice. Nature Communications. 11(1). 39 indexed citations

15.

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

16.

Gotthardt, Michael, et al.. (2012). Calcium sensitivity and myofilament lattice structure in titin N2B KO mice. Archives of Biochemistry and Biophysics. 535(1). 76–83. 17 indexed citations

17.

Labeit, Siegfried, et al.. (2011). Mechanics on Myocardium Deficient in the N2B Region of Titin: The Cardiac-Unique Spring Element Improves Efficiency of the Cardiac Cycle. Biophysical Journal. 101(6). 1385–1392. 20 indexed citations

18.

Lisewski, Ulrike, Yu Shi, Uta Wrackmeyer, et al.. (2008). The tight junction protein CAR regulates cardiac conduction and cell–cell communication. The Journal of Experimental Medicine. 205(10). 2369–2379. 86 indexed citations

19.

Jansen, Pernille, Klaus M. Giehl, Jens Randel Nyengaard, et al.. (2007). Roles for the pro-neurotrophin receptor sortilin in neuronal development, aging and brain injury. Nature Neuroscience. 10(11). 1449–1457. 230 indexed citations

20.

Trommsdorff, Marion, Michael Gotthardt, Thomas Hiesberger, et al.. (1999). Reeler/Disabled-like Disruption of Neuronal Migration in Knockout Mice Lacking the VLDL Receptor and ApoE Receptor 2. Cell. 97(6). 689–701. 1056 indexed citations breakdown →

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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