Daan Frenkel

65.0k total citations · 11 hit papers
505 papers, 48.9k citations indexed

About

Daan Frenkel is a scholar working on Materials Chemistry, Biomedical Engineering and Condensed Matter Physics. According to data from OpenAlex, Daan Frenkel has authored 505 papers receiving a total of 48.9k indexed citations (citations by other indexed papers that have themselves been cited), including 262 papers in Materials Chemistry, 137 papers in Biomedical Engineering and 101 papers in Condensed Matter Physics. Recurrent topics in Daan Frenkel's work include Material Dynamics and Properties (216 papers), Phase Equilibria and Thermodynamics (107 papers) and Theoretical and Computational Physics (92 papers). Daan Frenkel is often cited by papers focused on Material Dynamics and Properties (216 papers), Phase Equilibria and Thermodynamics (107 papers) and Theoretical and Computational Physics (92 papers). Daan Frenkel collaborates with scholars based in Netherlands, United Kingdom and United States. Daan Frenkel's co-authors include Berend Smit, Pieter Rein ten Wolde, Mark A. Ratner, Stefan Auer, Jan Tobochnik, Susan R. McKay, Wolfgang Christian, Peter G. Bolhuis, Anthony J. C. Ladd and M. J. Ruiz-Montero and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daan Frenkel

500 papers receiving 47.6k citations

Hit Papers

Understanding Molecular S... 1984 2026 1998 2012 2001 1997 1997 1997 1984 1000 2.0k 3.0k 4.0k 5.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daan Frenkel 27.3k 13.7k 9.0k 7.6k 7.2k 505 48.9k
Kurt Binder 30.3k 1.1× 10.5k 0.8× 13.1k 1.5× 26.3k 3.5× 2.8k 0.4× 959 56.3k
Frank H. Stillinger 22.7k 0.8× 8.4k 0.6× 12.6k 1.4× 8.0k 1.1× 2.8k 0.4× 400 40.3k
Berend Smit 25.5k 0.9× 12.6k 0.9× 6.9k 0.8× 2.8k 0.4× 4.7k 0.7× 433 52.1k
David Chandler 14.4k 0.5× 12.5k 0.9× 19.8k 2.2× 4.0k 0.5× 8.8k 1.2× 268 44.9k
Hans Christian Andersen 16.3k 0.6× 8.2k 0.6× 8.2k 0.9× 4.6k 0.6× 4.5k 0.6× 213 30.6k
P. G. de Gennes 22.7k 0.8× 13.7k 1.0× 14.8k 1.6× 14.7k 1.9× 7.0k 1.0× 288 72.3k
Steven J. Plimpton 33.0k 1.2× 9.9k 0.7× 7.0k 0.8× 3.4k 0.4× 2.5k 0.4× 150 56.0k
Francesco Sciortino 18.0k 0.7× 7.2k 0.5× 5.3k 0.6× 5.6k 0.7× 3.2k 0.5× 405 24.4k
Michele Parrinello 40.5k 1.5× 11.2k 0.8× 38.2k 4.2× 5.7k 0.8× 33.5k 4.7× 672 113.7k
Thomas A. Witten 11.5k 0.4× 7.7k 0.6× 4.1k 0.5× 6.3k 0.8× 2.5k 0.4× 157 32.5k

Countries citing papers authored by Daan Frenkel

Since Specialization
Citations

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

Fields of papers citing papers by Daan Frenkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daan Frenkel

This figure shows the co-authorship network connecting the top 25 collaborators of Daan Frenkel. A scholar is included among the top collaborators of Daan Frenkel 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 Daan Frenkel. Daan Frenkel 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.
Xie, Zhengqiu, Stefano Angioletti‐Uberti, Jure Dobnikar, Daan Frenkel, & Tine Curk. (2025). Receptor clustering tunes and sharpens the selectivity of multivalent binding. Proceedings of the National Academy of Sciences. 122(7). e2417159122–e2417159122. 2 indexed citations
2.
Curk, Samo, Johannes Krausser, Georg Meisl, et al.. (2024). Self-replication of A β 42 aggregates occurs on small and isolated fibril sites. Proceedings of the National Academy of Sciences. 121(7). e2220075121–e2220075121. 5 indexed citations
3.
Frenkel, Daan, et al.. (2022). Using sequence data to predict the self-assembly of supramolecular collagen structures. Biophysical Journal. 121(16). 3023–3033. 4 indexed citations
4.
Joseph, Jerelle A., Jorge R. Espinosa, Ignacio Sanchez‐Burgos, et al.. (2021). Thermodynamics and kinetics of phase separation of protein-RNA mixtures by a minimal model. Biophysical Journal. 120(7). 1219–1230. 60 indexed citations
5.
Espinosa, Jorge R., Jerelle A. Joseph, Ignacio Sanchez‐Burgos, et al.. (2020). Liquid network connectivity regulates the stability and composition of biomolecular condensates with many components. Proceedings of the National Academy of Sciences. 117(24). 13238–13247. 166 indexed citations
6.
Curk, Tine, Jure Dobnikar, & Daan Frenkel. (2017). Optimal multivalent targeting of membranes with many distinct receptors. Proceedings of the National Academy of Sciences. 114(28). 7210–7215. 63 indexed citations
7.
Fenimore, Paul W., et al.. (2017). Using Molecular Dynamics Simulations to Understand Pattern Formation in Polymers. Biophysical Journal. 112(3). 54a–54a. 1 indexed citations
8.
Tito, Nicholas B., Stefano Angioletti‐Uberti, & Daan Frenkel. (2016). Communication: Simple approach for calculating the binding free energy of a multivalent particle. The Journal of Chemical Physics. 144(16). 161101–161101. 11 indexed citations
9.
Frenkel, Daan, et al.. (2014). Numerical evidence for nucleated self-assembly of DNA brick origami. arXiv (Cornell University). 1 indexed citations
10.
Vácha, Robert, Francisco J. Martínez‐Veracoechea, & Daan Frenkel. (2013). Challenges in Nanoparticle Delivery: Cellular Uptake and Intracellular Escape. Biophysical Journal. 104(2). 622a–622a. 1 indexed citations
11.
Martínez‐Veracoechea, Francisco J. & Daan Frenkel. (2012). Designing super-selectivity in multivalent nano-particle binding. Bulletin of the American Physical Society. 2012. 1 indexed citations
12.
Abeln, Sanne & Daan Frenkel. (2011). Correction. Biophysical Journal. 101(4). 1014–1014. 1 indexed citations
13.
Verde, Ana Vila & Daan Frenkel. (2010). Simulation study of micelle formation by bile salts. Soft Matter. 6(16). 3815–3815. 43 indexed citations
14.
Frese, Raoul N., John D. Olsen, Neil Hunter, et al.. (2007). Protein shape and crowding drive domain formation and curvature in photosynthetic membranes. Photosynthesis Research. 91. 1 indexed citations
15.
Auer, Stefan, Wilson C. K. Poon, & Daan Frenkel. (2003). Phase behavior and crystallization kinetics of PHSA-coated PMMA colloids. UvA-DARE (University of Amsterdam). 67. 1–4. 234 indexed citations
16.
Auer, Stefan, Wilson C. K. Poon, & Daan Frenkel. (2003). Publisher's Note: Phase behavior and crystallization kinetics of poly-12-hydroxystearic-coated polymethylmethacrylate colloids [Phys. Rev. E 67, 020401(R) (2003)]. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(3). 4 indexed citations
17.
Frenkel, Daan, et al.. (2002). The hard ellipsoid-of-revolution fluid. I. Monte Carlo simulations - Comment. Molecular Physics. 100(1). 201–217. 7 indexed citations
18.
Frenkel, Daan. (1991). Statistical mechanics of liquid crystals. Data Archiving and Networked Services (DANS). 6 indexed citations
19.
Ciccotti, Giovanni, et al.. (1987). Simulation of liquids and solids. North-Holland eBooks. 78 indexed citations
20.
Ciccotti, Giovanni, Daan Frenkel, & Ian R. McDonald. (1987). Simulation of liquids and solids : molecular dynamics and Monte Carlo methods in statistical mechanics. Elsevier eBooks. 66 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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