Ellen Kuhl

321 papers receiving 16.1k citations

Hit Papers

Sex Matters: A Comprehensive Comparison of Female and Male Hearts 2022 · 101 citations
1012015202620182022100200300400500

Peers

Ellen Kuhl
Comparison fields: 5 of 211
  • Modeling and Simulation 761
  • Cell Biology 2.7k
  • Biomedical Engineering 6.9k
  • Cardiology and Cardiovascular Medicine 3.0k
  • Mechanics of Materials 2.2k
Replace Jay D. Humphrey with:
Jay D. Humphrey United States
Y. C. Fung United States
Gerhard A. Holzapfel Austria
Richard Skalak United States
Roger D. Kamm United States
Jeffrey J. Fredberg United States
Andrew D. McCulloch United States
Alain Goriely United Kingdom
Ray W. Ogden United Kingdom
Ben Fabry Germany
Ellen Kuhl relative to Jay D. Humphrey United States Jay D. Humphrey's profile →
Citations per field
00.5×4.8×
Jay D. Humphrey · 1×
Citations per year

Countries citing papers authored by Ellen Kuhl

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Kuhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ellen Kuhl, 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 Ellen Kuhl Line = papers co-authored together Ellen Kuhl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 202411
3 20245
4 20240
5 202414
6 202411
7 202348
8 20239
9 202332
10 20223
11 2022104
12 202152
13 202136
14 202116
15 2020106
16 201958
17 201834
18 20160
19 201548
20 20091

About Ellen Kuhl

Ellen Kuhl is a scholar working on Cell Biology, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Modeling and Simulation and Mechanics of Materials, having authored 331 papers that have together received 16.5k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (123 papers), Cellular Mechanics and Interactions (57 papers), Cardiovascular Function and Risk Factors (35 papers), Cardiac electrophysiology and arrhythmias (27 papers), Cardiac Valve Diseases and Treatments (24 papers), Automotive and Human Injury Biomechanics (20 papers), Advanced Materials and Mechanics (19 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). The work is most often cited by research in Modeling and Simulation (761 citations), Cell Biology (2.7k citations), Biomedical Engineering (6.9k citations), Cardiology and Cardiovascular Medicine (3.0k citations) and Mechanics of Materials (2.2k citations). Ellen Kuhl has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Paul Steinmann, Silvia Budday, Serdar Göktepe, Kevin Linka, Gerhard A. Holzapfel, Alain Goriely, Francisco Sahli Costabal, Adrián Buganza Tepole, R. de Rooij and Andreas Menzel. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids, Computational Mechanics, Biomechanics and Modeling in Mechanobiology and Journal of the mechanical behavior of biomedical materials.

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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