Steffen Rump

840 total citations · 1 hit paper
8 papers, 420 citations indexed

About

Steffen Rump is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Steffen Rump has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cancer Research. Recurrent topics in Steffen Rump's work include MicroRNA in disease regulation (4 papers), Signaling Pathways in Disease (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). Steffen Rump is often cited by papers focused on MicroRNA in disease regulation (4 papers), Signaling Pathways in Disease (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). Steffen Rump collaborates with scholars based in Germany, Austria and United States. Steffen Rump's co-authors include Thomas Thum, Janika Viereck, Sándor Bátkai, Celina Genschel, Scott D. Solomon, Johann Bauersachs, Wilfried Hauke, Henning Weigt, Carmen Theek and Ulrike Lorch and has published in prestigious journals such as Circulation, Circulation Research and European Heart Journal.

In The Last Decade

Steffen Rump

7 papers receiving 419 citations

Hit Papers

Novel antisense therapy targeting microRNA-132 in patient... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffen Rump Germany 4 303 227 119 29 25 8 420
Celina Genschel Germany 3 328 1.1× 266 1.2× 116 1.0× 35 1.2× 26 1.0× 7 450
Janet Remke Germany 3 290 1.0× 263 1.2× 109 0.9× 34 1.2× 20 0.8× 4 406
Geraldine E. Malana United States 2 194 0.6× 128 0.6× 103 0.9× 19 0.7× 12 0.5× 3 296
Àngela Vea Spain 11 336 1.1× 228 1.0× 82 0.7× 61 2.1× 42 1.7× 14 444
Di Zhao China 10 366 1.2× 346 1.5× 44 0.4× 40 1.4× 29 1.2× 21 477
Ping Pang China 9 310 1.0× 133 0.6× 34 0.3× 53 1.8× 25 1.0× 18 377
Dena Esfandyari Germany 3 203 0.7× 135 0.6× 117 1.0× 38 1.3× 26 1.0× 3 293
Emily Flam United States 9 229 0.8× 61 0.3× 83 0.7× 18 0.6× 25 1.0× 12 331
George Gardner United States 7 249 0.8× 105 0.5× 77 0.6× 56 1.9× 23 0.9× 7 336
Robin Verjans Netherlands 6 191 0.6× 158 0.7× 78 0.7× 35 1.2× 14 0.6× 9 271

Countries citing papers authored by Steffen Rump

Since Specialization
Citations

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

Fields of papers citing papers by Steffen Rump

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Rump

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

All Works

8 of 8 papers shown
1.
Bátkai, Sándor, Andreas Spannbauer, Janika Viereck, et al.. (2025). MiR-132 inhibition improves myocardial strain in a large animal model of chronic left ventricular adverse remodelling. PubMed. 3(2). qyaf088–qyaf088.
2.
Bauersachs, Johann, Scott D. Solomon, Stefan D. Anker, et al.. (2024). Efficacy and Safety of CDR132L in Patients with Reduced Left Ventricular Ejection Fraction After Myocardial Infarction: Rationale and Design of the HF-REVERT Trial. European Journal of Heart Failure. 26(3). 674–682. 27 indexed citations
3.
Bátkai, Sándor, Celina Genschel, Janika Viereck, et al.. (2023). Abstract 15057: miR-132 Inhibitor CDR 132L Attenuates Cardiac Remodeling by Exhibiting Anti-Fibrotic Effects. Circulation. 148(Suppl_1). 1 indexed citations
4.
Täubel, Jörg, Wilfried Hauke, Steffen Rump, et al.. (2021). Abstract 114: Safety And Efficacy Of CDR132L, A Novel Antisense Therapeutic Which Targets MicroRNA-132 In Heart Failure Patients. Circulation Research. 129(Suppl_1). 1 indexed citations
5.
Täubel, Jörg, Wilfried Hauke, Steffen Rump, et al.. (2021). Novel antisense therapy targeting microRNA-132 in patients with heart failure. European Heart Journal. 42(Supplement_1). 1 indexed citations
6.
Täubel, Jörg, Wilfried Hauke, Steffen Rump, et al.. (2020). Novel antisense therapy targeting microRNA-132 in patients with heart failure: results of a first-in-human Phase 1b randomized, double-blind, placebo-controlled study. European Heart Journal. 42(2). 178–188. 266 indexed citations breakdown →
7.
Wiese, Michael, Michael Gajhede, Lasse Saaby, et al.. (2020). The Pyrazolo[3,4-d]pyrimidine Derivative, SCO-201, Reverses Multidrug Resistance Mediated by ABCG2/BCRP. Cells. 9(3). 613–613. 16 indexed citations
8.
Bátkai, Sándor, Celina Genschel, Janika Viereck, et al.. (2020). CDR132L improves systolic and diastolic function in a large animal model of chronic heart failure. European Heart Journal. 42(2). 192–201. 108 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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