Raffaela Cabriolu

603 total citations
18 papers, 473 citations indexed

About

Raffaela Cabriolu is a scholar working on Materials Chemistry, Condensed Matter Physics and Molecular Biology. According to data from OpenAlex, Raffaela Cabriolu has authored 18 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 6 papers in Condensed Matter Physics and 4 papers in Molecular Biology. Recurrent topics in Raffaela Cabriolu's work include Theoretical and Computational Physics (6 papers), Protein Structure and Dynamics (4 papers) and Alzheimer's disease research and treatments (4 papers). Raffaela Cabriolu is often cited by papers focused on Theoretical and Computational Physics (6 papers), Protein Structure and Dynamics (4 papers) and Alzheimer's disease research and treatments (4 papers). Raffaela Cabriolu collaborates with scholars based in United Kingdom, Norway and Bulgaria. Raffaela Cabriolu's co-authors include Tianshu Li, Stefan Auer, Dimo Kashchiev, Yuanfei Bi, Titus S. van Erp, Peter G. Bolhuis, P. Ballone, Anders Lervik, Pinaki Chaudhuri and Jürgen Horbach and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Molecular Biology.

In The Last Decade

Raffaela Cabriolu

18 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raffaela Cabriolu United Kingdom 12 161 152 141 76 75 18 473
Andrey V. Brukhno United Kingdom 8 273 1.7× 256 1.7× 61 0.4× 22 0.3× 104 1.4× 10 539
Simon A. Hunt United Kingdom 15 53 0.3× 158 1.0× 111 0.8× 37 0.5× 37 0.5× 54 788
Radomir I. Slavchov Bulgaria 15 62 0.4× 185 1.2× 58 0.4× 23 0.3× 222 3.0× 49 693
Arthur E. Bailey United States 12 27 0.2× 273 1.8× 44 0.3× 21 0.3× 52 0.7× 20 670
Paul J. Shlichta United States 13 108 0.7× 424 2.8× 169 1.2× 16 0.2× 37 0.5× 28 593
Seungjun Oh South Korea 17 44 0.3× 223 1.5× 137 1.0× 16 0.2× 96 1.3× 64 919
L. G. Dowell United States 5 126 0.8× 145 1.0× 52 0.4× 15 0.2× 72 1.0× 8 407
Pep Pàmies Spain 12 50 0.3× 172 1.1× 86 0.6× 4 0.1× 85 1.1× 37 892
М. В. Герасимов Russia 13 91 0.6× 148 1.0× 25 0.2× 4 0.1× 51 0.7× 103 787
Ryan Gotchy Mullen United States 11 162 1.0× 229 1.5× 143 1.0× 2 0.0× 208 2.8× 15 682

Countries citing papers authored by Raffaela Cabriolu

Since Specialization
Citations

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

Fields of papers citing papers by Raffaela Cabriolu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaela Cabriolu

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

All Works

18 of 18 papers shown
1.
Cabriolu, Raffaela, et al.. (2024). Structural transitions of calcium carbonate by molecular dynamics simulation. The Journal of Chemical Physics. 161(21). 2 indexed citations
2.
Cabriolu, Raffaela, Bruno G. Pollet, & P. Ballone. (2023). Effect of Organic Ions on The Formation and Collapse of Nanometric Bubbles in Ionic Liquid/Water Solutions: A Molecular Dynamics Study. The Journal of Physical Chemistry B. 127(7). 1628–1644. 2 indexed citations
3.
Cabriolu, Raffaela, et al.. (2022). Effects of Degrees of Freedom on Calculating Diffusion Properties in Nanoporous Materials. Journal of Chemical Theory and Computation. 18(5). 2826–2835. 12 indexed citations
4.
Lervik, Anders, Ingeborg-Helene Svenum, Zhaohui Wang, et al.. (2022). The role of pressure and defects in the wurtzite to rock salt transition in cadmium selenide. Physical Chemistry Chemical Physics. 24(14). 8378–8386. 5 indexed citations
5.
Lervik, Anders, et al.. (2020). Teaching complex molecular simulation algorithms: Using self‐evaluation to tailor web‐based exercises at an individual level. Computer Applications in Engineering Education. 28(4). 779–791. 5 indexed citations
6.
Ok, Salim, et al.. (2019). Molecular Structure and Solubility Determination of Asphaltenes. Energy & Fuels. 33(9). 8259–8270. 27 indexed citations
7.
Cabriolu, Raffaela, Jürgen Horbach, Pinaki Chaudhuri, & Kirsten Martens. (2018). Precursors of fluidisation in the creep response of a soft glass. Soft Matter. 15(3). 415–423. 15 indexed citations
8.
Cabriolu, Raffaela, et al.. (2017). Foundations and latest advances in replica exchange transition interface sampling. The Journal of Chemical Physics. 147(15). 152722–152722. 48 indexed citations
9.
Bi, Yuanfei, Raffaela Cabriolu, & Tianshu Li. (2016). Heterogeneous Ice Nucleation Controlled by the Coupling of Surface Crystallinity and Surface Hydrophilicity. The Journal of Physical Chemistry C. 120(3). 1507–1514. 96 indexed citations
10.
Cabriolu, Raffaela & Tianshu Li. (2015). Ice nucleation on carbon surface supports the classical theory for heterogeneous nucleation. Physical Review E. 91(5). 52402–52402. 95 indexed citations
11.
Bingham, Richard J., et al.. (2013). Communication: Non-monotonic supersaturation dependence of the nucleus size of crystals with anisotropically interacting molecules. The Journal of Chemical Physics. 139(24). 241101–241101. 13 indexed citations
12.
Kashchiev, Dimo, Raffaela Cabriolu, & Stefan Auer. (2013). Confounding the Paradigm: Peculiarities of Amyloid Fibril Nucleation. Journal of the American Chemical Society. 135(4). 1531–1539. 41 indexed citations
13.
Cabriolu, Raffaela, Dimo Kashchiev, & Stefan Auer. (2012). Breakdown of nucleation theory for crystals with strongly anisotropic interactions between molecules. The Journal of Chemical Physics. 137(20). 204903–204903. 24 indexed citations
14.
Cabriolu, Raffaela, Dimo Kashchiev, & Stefan Auer. (2011). Size Distribution of Amyloid Nanofibrils. Biophysical Journal. 101(9). 2232–2241. 8 indexed citations
15.
Cabriolu, Raffaela & Stefan Auer. (2011). Amyloid Fibrillation Kinetics: Insight from Atomistic Nucleation Theory. Journal of Molecular Biology. 411(1). 275–285. 32 indexed citations
16.
Cabriolu, Raffaela & P. Ballone. (2010). Thermodynamic properties and atomistic structure of the dry amorphous silica surface from a reactive force field model. Physical Review B. 81(15). 17 indexed citations
17.
Cabriolu, Raffaela, Dimo Kashchiev, & Stefan Auer. (2010). Atomistic theory of amyloid fibril nucleation. The Journal of Chemical Physics. 133(22). 225101–225101. 26 indexed citations
18.
Cabriolu, Raffaela, Mario G. Del Pópolo, & P. Ballone. (2009). Melting of a tetrahedral network model of silica. Physical Chemistry Chemical Physics. 11(46). 10820–10820. 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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