Sandra Ruppenthal

1.4k citations
29 papers · 1.1k · h-index 17

Impact in

Papers in

Sandra Ruppenthal

29 papers receiving 1.1k citations

Peers

Sandra Ruppenthal
Comparison fields: 5 of 87
  • Rehabilitation 105
  • Cardiology and Cardiovascular Medicine 341
  • Cellular and Molecular Neuroscience 254
  • Physiology 316
  • Orthodontics 43
Replace Sonja Buvinic with:
Sonja Buvinic Chile
Leticia Brotto United States
Masaki Sato Japan
Mariana Casas Chile
I. Courdier-Fruh Switzerland
Steven Gu United States
Hu Qiao China
Takashi Saito Japan
Raffaella Willmann Switzerland
Stefan M. Gehrig Australia
Sandra Ruppenthal relative to Sonja Buvinic Chile Sonja Buvinic's profile →
Citations per field
00.5×4.7×
Sonja Buvinic · 1×
Citations per year

Countries citing papers authored by Sandra Ruppenthal

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Ruppenthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandra Ruppenthal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sandra Ruppenthal Line = papers co-authored together Sandra Ruppenthal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011269
2 2013207
3 2014115
4 201454
5 201149
6 201449
7 201148
8 200741
9 201233
10 201332
11 200929
12 201028
13 201126
14 201523
15 201818
16 201817
17 201716
18 201212
19 202112
20 201312

About Sandra Ruppenthal

Sandra Ruppenthal is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Electrical and Electronic Engineering, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (8 papers), Neuroscience and Neural Engineering (7 papers), Cardiomyopathy and Myosin Studies (7 papers), Erythrocyte Function and Pathophysiology (4 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Blood properties and coagulation (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Rehabilitation (105 citations), Cardiology and Cardiovascular Medicine (341 citations), Cellular and Molecular Neuroscience (254 citations), Physiology (316 citations) and Orthodontics (43 citations). Sandra Ruppenthal has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Lars Kaestner, Peter Lipp, Arne Morsch, Anne Hecksteden, Tim Meyer, Melissa Wegmann, Anke Scholz, Xiao Yu Tian, Alessandra Moretti and Daniel Sinnecker. Their work appears in journals such as Cardiovascular Research, Cell Calcium, Journal of Molecular and Cellular Cardiology, Cellular Physiology and Biochemistry and Journal of Biological Chemistry.

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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