Daniel Kozuch

422 total citations
9 papers, 353 citations indexed

About

Daniel Kozuch is a scholar working on Materials Chemistry, Atmospheric Science and Molecular Biology. According to data from OpenAlex, Daniel Kozuch has authored 9 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Atmospheric Science and 2 papers in Molecular Biology. Recurrent topics in Daniel Kozuch's work include nanoparticles nucleation surface interactions (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Physiological and biochemical adaptations (2 papers). Daniel Kozuch is often cited by papers focused on nanoparticles nucleation surface interactions (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Physiological and biochemical adaptations (2 papers). Daniel Kozuch collaborates with scholars based in United States. Daniel Kozuch's co-authors include Joshua A. Robinson, Ganesh R. Bhimanapati, Pablo G. Debenedetti, Frank H. Stillinger, Scott T. Milner, Wenlin Zhang, Kurt D. Ristroph, Robert K. Prud’homme, Qin Chen and Bennett D. Marshall and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and ACS Nano.

In The Last Decade

Daniel Kozuch

9 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kozuch United States 7 202 62 56 45 40 9 353
Emma L. Prime Australia 10 128 0.6× 79 1.3× 18 0.3× 67 1.5× 34 0.8× 21 361
Sergey Yakovlev United States 12 81 0.4× 80 1.3× 56 1.0× 151 3.4× 24 0.6× 38 405
Nicolas Cuvillier France 11 94 0.5× 69 1.1× 22 0.4× 35 0.8× 100 2.5× 19 342
Jiangbo Jing China 11 282 1.4× 102 1.6× 67 1.2× 212 4.7× 51 1.3× 14 498
Rick R. M. Joosten Netherlands 10 225 1.1× 141 2.3× 12 0.2× 51 1.1× 55 1.4× 19 525
Matthew W. Meyer United States 11 154 0.8× 206 3.3× 33 0.6× 61 1.4× 128 3.2× 14 544
S. L. Lim Singapore 13 124 0.6× 86 1.4× 184 3.3× 187 4.2× 21 0.5× 30 477
Leonardo Z. Zornberg United States 6 189 0.9× 96 1.5× 17 0.3× 48 1.1× 81 2.0× 7 378
Christopher A. Johnson United States 8 118 0.6× 95 1.5× 15 0.3× 78 1.7× 64 1.6× 13 384

Countries citing papers authored by Daniel Kozuch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kozuch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kozuch

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

All Works

9 of 9 papers shown
1.
Kozuch, Daniel, Frank H. Stillinger, & Pablo G. Debenedetti. (2021). Effects of Trehalose on Lipid Membranes under Rapid Cooling using All-Atom and Coarse-Grained Molecular Simulations. The Journal of Physical Chemistry B. 125(20). 5346–5357. 6 indexed citations
2.
Kozuch, Daniel, Kurt D. Ristroph, Robert K. Prud’homme, & Pablo G. Debenedetti. (2020). Insights into Hydrophobic Ion Pairing from Molecular Simulation and Experiment. ACS Nano. 14(5). 6097–6106. 30 indexed citations
3.
Kozuch, Daniel, Frank H. Stillinger, & Pablo G. Debenedetti. (2020). Genetic Algorithm Approach for the Optimization of Protein Antifreeze Activity Using Molecular Simulations. Journal of Chemical Theory and Computation. 16(12). 7866–7873. 7 indexed citations
4.
Marshall, Bennett D., et al.. (2020). A PC‐SAFT model for heavy hydrocarbon thermodynamics in downstream separation processes. AIChE Journal. 66(12). 3 indexed citations
5.
Kozuch, Daniel, Frank H. Stillinger, & Pablo G. Debenedetti. (2019). Low temperature protein refolding suggested by molecular simulation. The Journal of Chemical Physics. 151(18). 185101–185101. 15 indexed citations
6.
Kozuch, Daniel, Frank H. Stillinger, & Pablo G. Debenedetti. (2018). Combined molecular dynamics and neural network method for predicting protein antifreeze activity. Proceedings of the National Academy of Sciences. 115(52). 13252–13257. 42 indexed citations
7.
Chen, Qin, Daniel Kozuch, & Scott T. Milner. (2017). “Plunger” Method for Simulating Crystal–Melt Interfacial Free Energies. Macromolecules. 50(12). 4797–4806. 7 indexed citations
8.
Kozuch, Daniel, Wenlin Zhang, & Scott T. Milner. (2016). Predicting the Flory-Huggins χ Parameter for Polymers with Stiffness Mismatch from Molecular Dynamics Simulations. Polymers. 8(6). 241–241. 56 indexed citations
9.
Bhimanapati, Ganesh R., Daniel Kozuch, & Joshua A. Robinson. (2014). Large-scale synthesis and functionalization of hexagonal boron nitride nanosheets. Nanoscale. 6(20). 11671–11675. 187 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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