Rubèn Serral Gracià

1.1k total citations
10 papers, 818 citations indexed

About

Rubèn Serral Gracià is a scholar working on Molecular Biology, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Rubèn Serral Gracià has authored 10 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Organic Chemistry. Recurrent topics in Rubèn Serral Gracià's work include Lipid Membrane Structure and Behavior (5 papers), Electrohydrodynamics and Fluid Dynamics (2 papers) and Protein Structure and Dynamics (2 papers). Rubèn Serral Gracià is often cited by papers focused on Lipid Membrane Structure and Behavior (5 papers), Electrohydrodynamics and Fluid Dynamics (2 papers) and Protein Structure and Dynamics (2 papers). Rubèn Serral Gracià collaborates with scholars based in Germany, Netherlands and United States. Rubèn Serral Gracià's co-authors include Rumiana Dimova, Reinhard Lipowsky, Petia M. Vlahovska, Natalya Bezlyepkina, Roland L. Knorr, Stefan Klumpp, Eberhard Unger, S. Aranda-Espinoza, J. G. E. M. Fraaije and Margarita Staykova and has published in prestigious journals such as Macromolecules, Biophysical Journal and Journal of Chemical Theory and Computation.

In The Last Decade

Rubèn Serral Gracià

10 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubèn Serral Gracià Germany 8 475 267 151 147 104 10 818
Natalya Bezlyepkina Germany 7 727 1.5× 434 1.6× 85 0.6× 198 1.3× 30 0.3× 7 964
Ling Miao Canada 12 829 1.7× 201 0.8× 100 0.7× 332 2.3× 46 0.4× 18 1.1k
S. Aranda-Espinoza Mexico 9 386 0.8× 363 1.4× 59 0.4× 120 0.8× 24 0.2× 19 682
I. Bivas Bulgaria 16 1.0k 2.1× 283 1.1× 81 0.5× 510 3.5× 33 0.3× 47 1.2k
Victoria Vitkova Bulgaria 13 324 0.7× 139 0.5× 27 0.2× 80 0.5× 139 1.3× 39 516
H.J. Deuling Germany 13 517 1.1× 154 0.6× 66 0.4× 473 3.2× 104 1.0× 17 1.2k
Aurelia R. Honerkamp‐Smith United States 12 794 1.7× 320 1.2× 108 0.7× 321 2.2× 16 0.2× 22 960
R.M. Servuss Germany 10 638 1.3× 179 0.7× 73 0.5× 377 2.6× 28 0.3× 13 842
Amit Das India 14 141 0.3× 171 0.6× 219 1.5× 61 0.4× 35 0.3× 23 479
Natalia Ziębacz Poland 10 247 0.5× 187 0.7× 61 0.4× 80 0.5× 12 0.1× 13 652

Countries citing papers authored by Rubèn Serral Gracià

Since Specialization
Citations

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

Fields of papers citing papers by Rubèn Serral Gracià

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubèn Serral Gracià. 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 Rubèn Serral Gracià. The network helps show where Rubèn Serral Gracià may publish in the future.

Co-authorship network of co-authors of Rubèn Serral Gracià

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

All Works

10 of 10 papers shown
1.
2.
Gracià, Rubèn Serral, et al.. (2016). Extensive Accuracy Test of the Force-Field-Based Quasichemical Method PAC–MAC. Journal of Chemical & Engineering Data. 61(12). 3989–3997. 6 indexed citations
3.
Fraaije, J. G. E. M., et al.. (2016). Coarse-Grained Models for Automated Fragmentation and Parametrization of Molecular Databases. Journal of Chemical Information and Modeling. 56(12). 2361–2377. 25 indexed citations
4.
Bezlyepkina, Natalya, et al.. (2013). Phase Diagram and Tie-Line Determination for the Ternary Mixture DOPC/eSM/Cholesterol. Biophysical Journal. 104(7). 1456–1464. 90 indexed citations
5.
Handgraaf, Jan‐Willem, Rubèn Serral Gracià, Shyamal K. Nath, et al.. (2011). A Multiscale Modeling Protocol To Generate Realistic Polymer Surfaces. Macromolecules. 44(4). 1053–1061. 6 indexed citations
6.
Gracià, Rubèn Serral, Natalya Bezlyepkina, Roland L. Knorr, Reinhard Lipowsky, & Rumiana Dimova. (2010). Effect of cholesterol on the rigidity of saturated and unsaturated membranes: fluctuation and electrodeformation analysis of giant vesicles. Soft Matter. 6(7). 1472–1472. 272 indexed citations
7.
Knorr, Roland L., Margarita Staykova, Rubèn Serral Gracià, & Rumiana Dimova. (2010). Wrinkling and electroporation of giant vesicles in the gel phase. Soft Matter. 6(9). 1990–1990. 43 indexed citations
8.
Vlahovska, Petia M., Rubèn Serral Gracià, S. Aranda-Espinoza, & Rumiana Dimova. (2009). Electrohydrodynamic Model of Vesicle Deformation in Alternating Electric Fields. Biophysical Journal. 96(12). 4789–4803. 92 indexed citations
9.
Klumpp, Stefan, et al.. (2007). Transport of Beads by Several Kinesin Motors. Biophysical Journal. 94(2). 532–541. 142 indexed citations
10.
Vlahovska, Petia M. & Rubèn Serral Gracià. (2007). Dynamics of a viscous vesicle in linear flows. Physical Review E. 75(1). 16313–16313. 126 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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