Wouter‐Jan Rappel

13.2k total citations · 3 hit papers
164 papers, 9.7k citations indexed

About

Wouter‐Jan Rappel is a scholar working on Cell Biology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Wouter‐Jan Rappel has authored 164 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cell Biology, 42 papers in Molecular Biology and 41 papers in Biomedical Engineering. Recurrent topics in Wouter‐Jan Rappel's work include Cellular Mechanics and Interactions (47 papers), Cardiac electrophysiology and arrhythmias (38 papers) and Nonlinear Dynamics and Pattern Formation (26 papers). Wouter‐Jan Rappel is often cited by papers focused on Cellular Mechanics and Interactions (47 papers), Cardiac electrophysiology and arrhythmias (38 papers) and Nonlinear Dynamics and Pattern Formation (26 papers). Wouter‐Jan Rappel collaborates with scholars based in United States, Germany and Israel. Wouter‐Jan Rappel's co-authors include Alain Karma, Herbert Levine, Sanjiv M. Narayan, David E. Krummen, Brian A. Camley, John M. Miller, Kalyanam Shivkumar, William F. Loomis, Paul Clopton and Inon Cohen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Wouter‐Jan Rappel

159 papers receiving 9.5k citations

Hit Papers

Quantitative phase-field modeling of dendritic growth in ... 1996 2026 2006 2016 1998 2012 1996 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wouter‐Jan Rappel United States 51 2.3k 2.1k 2.0k 1.8k 1.6k 164 9.7k
Jonathon Howard United States 79 893 0.4× 12.4k 5.9× 1.0k 0.5× 10.5k 5.9× 3.2k 2.0× 227 22.6k
András Czirók Hungary 39 461 0.2× 1.2k 0.6× 95 0.0× 2.4k 1.4× 1.6k 1.0× 119 9.6k
F. C. MacKintosh United States 74 2.9k 1.2× 9.9k 4.7× 385 0.2× 3.9k 2.2× 6.1k 3.8× 197 20.6k
John P. Wikswo United States 50 354 0.2× 396 0.2× 1.7k 0.9× 2.1k 1.2× 3.2k 2.0× 297 9.6k
Masaki Sano Japan 39 1.0k 0.4× 461 0.2× 91 0.0× 965 0.5× 1.5k 0.9× 162 8.2k
Jean‐François Joanny France 58 2.1k 0.9× 3.7k 1.7× 104 0.1× 2.5k 1.4× 3.8k 2.4× 194 12.2k
Yuhai Tu United States 44 861 0.4× 382 0.2× 85 0.0× 3.4k 1.9× 1.4k 0.9× 142 9.1k
Alain Goriely United Kingdom 55 5.9k 2.6× 1.8k 0.8× 125 0.1× 1.1k 0.6× 3.7k 2.3× 295 16.5k
John Bechhoefer Canada 37 1.1k 0.5× 782 0.4× 69 0.0× 1.6k 0.9× 1.2k 0.8× 106 6.8k
Edgar Meyhöfer United States 41 1.7k 0.8× 1.7k 0.8× 194 0.1× 1.6k 0.9× 1.1k 0.7× 111 7.3k

Countries citing papers authored by Wouter‐Jan Rappel

Since Specialization
Citations

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

Fields of papers citing papers by Wouter‐Jan Rappel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter‐Jan Rappel. 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 Wouter‐Jan Rappel. The network helps show where Wouter‐Jan Rappel may publish in the future.

Co-authorship network of co-authors of Wouter‐Jan Rappel

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

All Works

20 of 20 papers shown
1.
Simmchen, Juliane, Daniel Gordon, J.A. Mackenzie, et al.. (2025). Perspective on Interdisciplinary Approaches on Chemotaxis. Angewandte Chemie International Edition. 64(47). e202504790–e202504790.
2.
Rappel, Wouter‐Jan, et al.. (2025). Codes for "Single-cell chiral symmetry breaking under confinement". Zenodo (CERN European Organization for Nuclear Research).
3.
Rappel, Wouter‐Jan, et al.. (2025). Prediction of excitable wave dynamics using machine learning. Chaos Solitons & Fractals. 192. 115990–115990. 1 indexed citations
4.
Rappel, Wouter‐Jan, et al.. (2024). Annihilation dynamics during spiral defect chaos revealed by particle models. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(5). 3 indexed citations
5.
Azoulay‐Shemer, Tamar, Sebastian Schulze, Or Shapira, et al.. (2023). A role for ethylene signaling and biosynthesis in regulating and accelerating CO2‐ and abscisic acid‐mediated stomatal movements in Arabidopsis. New Phytologist. 238(6). 2460–2475. 17 indexed citations
6.
Rappel, Wouter‐Jan, David E. Krummen, Tina Baykaner, et al.. (2022). Stochastic Termination of Spiral Wave Dynamics in Cardiac Tissue. PubMed. 2. 17 indexed citations
7.
Camley, Brian A., et al.. (2021). Cellular memory in eukaryotic chemotaxis depends on the background chemoattractant concentration. Physical review. E. 103(1). 12402–12402. 8 indexed citations
8.
Hsu, Po‐Kai, et al.. (2021). Boolink: a graphical interface for open access Boolean network simulations and use in guard cell CO2 signaling. PLANT PHYSIOLOGY. 187(4). 2311–2322. 6 indexed citations
9.
Krummen, David E., Gordon Ho, Kurt S. Hoffmayer, et al.. (2021). Electrical Substrate Ablation for Refractory Ventricular Fibrillation. Circulation Arrhythmia and Electrophysiology. 14(3). e008868–e008868. 6 indexed citations
10.
Cao, Yuansheng, et al.. (2021). The mechanics and dynamics of cancer cells sensing noisy 3D contact guidance. Proceedings of the National Academy of Sciences. 118(10). 23 indexed citations
11.
Dai, Wei, Xiaoran Guo, Yuansheng Cao, et al.. (2020). Tissue topography steers migrating Drosophila border cells. Science. 370(6519). 987–990. 43 indexed citations
12.
Alhusseini, Mahmood, Firas Abuzaid, Albert J. Rogers, et al.. (2020). Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation. Circulation Arrhythmia and Electrophysiology. 13(8). e008160–e008160. 40 indexed citations
13.
Rogers, Albert J., Mahmood Alhusseini, David E. Krummen, et al.. (2020). Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death. Circulation Research. 128(2). 172–184. 31 indexed citations
14.
Xiong, Liyang, Yuansheng Cao, Robert Cooper, et al.. (2020). Flower-like patterns in multi-species bacterial colonies. eLife. 9. 51 indexed citations
15.
Wang, Cun, Honghong Hu, Xue Qin, et al.. (2016). Reconstitution of CO 2 Regulation of SLAC1 Anion Channel and Function of CO 2 -Permeable PIP2;1 Aquaporin as CARBONIC ANHYDRASE4 Interactor. The Plant Cell. 28(2). 568–582. 106 indexed citations
16.
Hu, Honghong, Wouter‐Jan Rappel, Rossana Occhipinti, et al.. (2015). Distinct Cellular Locations of Carbonic Anhydrases Mediate Carbon Dioxide Control of Stomatal Movements. PLANT PHYSIOLOGY. 169(2). 1168–1178. 89 indexed citations
17.
Skoge, Monica, Michael Erickstad, Albert Bae, et al.. (2014). Cellular memory in eukaryotic chemotaxis. Proceedings of the National Academy of Sciences. 111(40). 14448–14453. 96 indexed citations
18.
Camley, Brian A., Yunsong Zhang, Yanxiang Zhao, et al.. (2014). Polarity mechanisms such as contact inhibition of locomotion regulate persistent rotational motion of mammalian cells on micropatterns. Proceedings of the National Academy of Sciences. 111(41). 14770–14775. 122 indexed citations
19.
Levine, Herbert, et al.. (2012). Coupling actin flow, adhesion, and morphology in a computational cell motility model. Proceedings of the National Academy of Sciences. 109(18). 6851–6856. 190 indexed citations
20.
Hu, Bo, Wouter‐Jan Rappel, & Herbert Levine. (2009). Mechanisms and Constraints on Yeast MAPK Signaling Specificity. Biophysical Journal. 96(12). 4755–4763. 5 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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