Jorge A. Vila

2.9k total citations
83 papers, 2.3k citations indexed

About

Jorge A. Vila is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Jorge A. Vila has authored 83 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 39 papers in Materials Chemistry and 25 papers in Spectroscopy. Recurrent topics in Jorge A. Vila's work include Protein Structure and Dynamics (56 papers), Enzyme Structure and Function (37 papers) and RNA and protein synthesis mechanisms (18 papers). Jorge A. Vila is often cited by papers focused on Protein Structure and Dynamics (56 papers), Enzyme Structure and Function (37 papers) and RNA and protein synthesis mechanisms (18 papers). Jorge A. Vila collaborates with scholars based in Argentina, United States and Russia. Jorge A. Vila's co-authors include Harold A. Scheraga, Daniel R. Ripoll, Osvaldo A. Martin, Roger Williams, Yury N. Vorobjev, Akbar Nayeem, Yelena A. Arnautova, Adam Liwo, H. A. Scheraga and Maximiliano Vásquez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Chemical Physics.

In The Last Decade

Jorge A. Vila

82 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge A. Vila Argentina 26 1.9k 915 590 357 152 83 2.3k
Stanisław Ołdziej Poland 30 2.1k 1.1× 1.2k 1.3× 388 0.7× 412 1.2× 115 0.8× 97 2.7k
Junichi Higo Japan 31 2.0k 1.1× 789 0.9× 482 0.8× 517 1.4× 234 1.5× 113 2.4k
Vincent A. Voelz United States 26 2.1k 1.1× 756 0.8× 459 0.8× 309 0.9× 215 1.4× 69 2.5k
Jerry Tsai United States 26 2.4k 1.2× 1.2k 1.3× 311 0.5× 276 0.8× 272 1.8× 60 2.9k
Wesley E. Stites United States 23 2.4k 1.2× 924 1.0× 321 0.5× 321 0.9× 108 0.7× 43 2.8k
Motohisa Oobatake Japan 26 2.2k 1.1× 1.1k 1.2× 413 0.7× 429 1.2× 189 1.2× 57 2.8k
Paul Robustelli United States 17 2.3k 1.2× 1.0k 1.1× 634 1.1× 305 0.9× 194 1.3× 28 2.8k
Hugh Nymeyer United States 16 2.3k 1.2× 1.2k 1.3× 344 0.6× 522 1.5× 85 0.6× 21 2.6k
Frank Gabel France 31 2.2k 1.2× 1.0k 1.1× 571 1.0× 499 1.4× 56 0.4× 84 3.0k
John Mongan United States 8 1.9k 1.0× 530 0.6× 313 0.5× 499 1.4× 317 2.1× 8 2.3k

Countries citing papers authored by Jorge A. Vila

Since Specialization
Citations

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

Fields of papers citing papers by Jorge A. Vila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge A. Vila. 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 Jorge A. Vila. The network helps show where Jorge A. Vila may publish in the future.

Co-authorship network of co-authors of Jorge A. Vila

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge A. Vila. A scholar is included among the top collaborators of Jorge A. Vila 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 Jorge A. Vila. Jorge A. Vila 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.
Vila, Jorge A.. (2024). Analysis of proteins in the light of mutations. European Biophysics Journal. 53(5-6). 255–265. 3 indexed citations
2.
Vila, Jorge A., et al.. (2021). Exploring the quality of protein structural models from a Bayesian perspective. Journal of Computational Chemistry. 42(21). 1466–1474. 1 indexed citations
3.
Martin, Osvaldo A., et al.. (2020). Assessing the One-Bond Cα–H Spin–Spin Coupling Constants in Proteins: Pros and Cons of Different Approaches. The Journal of Physical Chemistry B. 124(5). 735–741. 2 indexed citations
4.
Vila, Jorge A.. (2020). Harold A. Scheraga Legatum. The Protein Journal. 39(5). 400–401. 1 indexed citations
5.
Vila, Jorge A., et al.. (2016). Azahar: a PyMOL plugin for construction, visualization and analysis of glycan molecules. Journal of Computer-Aided Molecular Design. 30(8). 619–624. 27 indexed citations
7.
Baler, Kevin, Osvaldo A. Martin, Marcelo A. Carignano, et al.. (2014). Electrostatic Unfolding and Interactions of Albumin Driven by pH Changes: A Molecular Dynamics Study. The Journal of Physical Chemistry B. 118(4). 921–930. 158 indexed citations
8.
Martin, Osvaldo A., et al.. (2013). Physics-based method to validate and repair flaws in protein structures. Proceedings of the National Academy of Sciences. 110(42). 16826–16831. 12 indexed citations
9.
Vila, Jorge A., Shih‐Che Sue, James S. Fraser, Harold A. Scheraga, & H. Jane Dyson. (2012). CheShift-2 resolves a local inconsistency between two X-ray crystal structures. Journal of Biomolecular NMR. 54(2). 193–198. 2 indexed citations
10.
Vila, Jorge A., Yelena A. Arnautova, Yury N. Vorobjev, & Harold A. Scheraga. (2011). Assessing the fractions of tautomeric forms of the imidazole ring of histidine in proteins as a function of pH. Proceedings of the National Academy of Sciences. 108(14). 5602–5607. 74 indexed citations
11.
Arnautova, Yelena A., Jorge A. Vila, Osvaldo A. Martin, & Harold A. Scheraga. (2009). What can we learn by computing13Cαchemical shifts for X-ray protein models?. Acta Crystallographica Section D Biological Crystallography. 65(7). 697–703. 17 indexed citations
12.
Vila, Jorge A., Yelena A. Arnautova, & Harold A. Scheraga. (2008). Use of 13 C α chemical shifts for accurate determination of β-sheet structures in solution. Proceedings of the National Academy of Sciences. 105(6). 1891–1896. 17 indexed citations
13.
Vila, Jorge A., Héctor A. Baldoni, & Harold A. Scheraga. (2008). Performance of density functional models to reproduce observed 13Cα chemical shifts of proteins in solution. Journal of Computational Chemistry. 30(6). 884–892. 23 indexed citations
14.
Vila, Jorge A., Héctor A. Baldoni, Daniel R. Ripoll, Avijit Ghosh, & Harold A. Scheraga. (2004). Polyproline II Helix Conformation in a Proline-Rich Environment: A Theoretical Study. Biophysical Journal. 86(2). 731–742. 49 indexed citations
15.
Vila, Jorge A., Héctor A. Baldoni, & Harold A. Scheraga. (2004). Position dependence of the 13C chemical shifts of α‐helical model peptides. Fingerprint of the 20 naturally occurring amino acids. Protein Science. 13(11). 2939–2948. 2 indexed citations
16.
Vila, Jorge A., Héctor A. Baldoni, Daniel R. Ripoll, & Harold A. Scheraga. (2004). Fast and accurate computation of the 13C chemical shifts for an alanine‐rich peptide. Proteins Structure Function and Bioinformatics. 57(1). 87–98. 9 indexed citations
17.
Scheraga, Harold A., Jorge A. Vila, & Daniel R. Ripoll. (2002). Helix–coil transitions re-visited. Biophysical Chemistry. 101-102. 255–265. 49 indexed citations
18.
Ripoll, Daniel R., et al.. (1999). On the pH-conformational dependence of the unblocked SYPYD peptide. Journal of Molecular Biology. 292(2). 431–440. 10 indexed citations
19.
Vila, Jorge A., et al.. (1998). Role of Hydrophobicity and Solvent-Mediated Charge-Charge Interactions in Stabilizing α-Helices. Biophysical Journal. 75(6). 2637–2646. 35 indexed citations
20.
Williams, Roger, et al.. (1992). Empirical solvation models in the context of conformational energy searches: Application to bovine pancreatic trypsin inhibitor. Proteins Structure Function and Bioinformatics. 14(1). 110–119. 52 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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