David Vidal

998 total citations
32 papers, 774 citations indexed

About

David Vidal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, David Vidal has authored 32 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 5 papers in Organic Chemistry. Recurrent topics in David Vidal's work include Computational Drug Discovery Methods (10 papers), Customer Service Quality and Loyalty (5 papers) and Protein Structure and Dynamics (3 papers). David Vidal is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Customer Service Quality and Loyalty (5 papers) and Protein Structure and Dynamics (3 papers). David Vidal collaborates with scholars based in Spain, France and United States. David Vidal's co-authors include Miquel Pons, Michael Thormann, Jordi Mestres, Ricard García-Serna, A. Alomar, Xavier Matías‐Guiu, Jean‐Luc Puel, Jérôme Ruel, Richard P. Bobbin and Rémy Pujol and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Virology and Neuropharmacology.

In The Last Decade

David Vidal

31 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Vidal Spain 15 362 278 114 84 68 32 774
Jeff W. Paslay United States 5 550 1.5× 356 1.3× 145 1.3× 50 0.6× 116 1.7× 6 971
Eric S. Dawson United States 21 659 1.8× 296 1.1× 162 1.4× 28 0.3× 63 0.9× 42 1.1k
Sally Rose United Kingdom 8 292 0.8× 172 0.6× 93 0.8× 20 0.2× 56 0.8× 12 510
Edward Price United States 9 1.2k 3.3× 345 1.2× 119 1.0× 74 0.9× 66 1.0× 13 1.9k
Yeng‐Tseng Wang Taiwan 16 413 1.1× 39 0.1× 31 0.3× 43 0.5× 129 1.9× 67 847
Adrian Heilbut United States 8 822 2.3× 226 0.8× 75 0.7× 54 0.6× 41 0.6× 8 1.6k
Marcel Bermúdez Germany 21 915 2.5× 334 1.2× 162 1.4× 117 1.4× 108 1.6× 49 1.3k
Tina Garyantes United States 10 734 2.0× 390 1.4× 145 1.3× 69 0.8× 121 1.8× 16 1.3k
Padmashree C.G. Rida United States 24 881 2.4× 26 0.1× 62 0.5× 85 1.0× 10 0.1× 64 1.6k
David Marcus United States 12 371 1.0× 176 0.6× 44 0.4× 28 0.3× 75 1.1× 21 697

Countries citing papers authored by David Vidal

Since Specialization
Citations

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

Fields of papers citing papers by David Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of David Vidal. A scholar is included among the top collaborators of David Vidal 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 David Vidal. David Vidal 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.
Nonell‐Canals, Alfons, et al.. (2019). Evaluation of Cross-Validation Strategies in Sequence-Based Binding Prediction Using Deep Learning. Journal of Chemical Information and Modeling. 59(4). 1645–1657. 24 indexed citations
2.
Giavedoni, Priscila, et al.. (2018). Uso de la ecografía Doppler en servicios de dermatología en Cataluña y Aragón, España. Piel. 34(2). 69–73. 1 indexed citations
3.
Vidal, David, et al.. (2017). Salespeople, Fairness, and Buyer Satisfaction: What about Emotions?. Journal of Business-to-Business Marketing. 24(3). 221–233. 6 indexed citations
4.
Mestres, Jordi, et al.. (2016). Large-scale predictive drug safety: From structural alerts to biological mechanisms. Toxicology Letters. 258. S115–S115. 1 indexed citations
5.
Vidal, David, et al.. (2016). Should I stay or should I go? Customers’ reactions faced with the deterioration of a business relationship. Journal of Business and Industrial Marketing. 31(1). 47–58. 14 indexed citations
6.
Vidal, David. (2014). Eye for an eye. European Journal of Marketing. 48(1/2). 47–67. 19 indexed citations
7.
Vidal, David, et al.. (2013). The impact of salespeople's relational behaviors and organizational fairness on customer loyalty: An empirical study in B-to-B relationships. Journal of Retailing and Consumer Services. 20(5). 429–438. 13 indexed citations
8.
Gallastegui, Edurne, Brett Marshall, David Vidal, et al.. (2012). Combination of Biological Screening in a Cellular Model of Viral Latency and Virtual Screening Identifies Novel Compounds That Reactivate HIV-1. Journal of Virology. 86(7). 3795–3808. 27 indexed citations
9.
Vidal, David, et al.. (2010). Statistical parameter flexibility for processing navigation data. The Leading Edge. 29(4). 414–416. 1 indexed citations
10.
Vidal, David & Jordi Mestres. (2010). In Silico Receptorome Screening of Antipsychotic Drugs. Molecular Informatics. 29(6-7). 543–551. 46 indexed citations
11.
Vidal, David, Ricard García-Serna, & Jordi Mestres. (2010). Ligand-Based Approaches to In Silico Pharmacology. Methods in molecular biology. 672. 489–502. 54 indexed citations
12.
Vidal, David, et al.. (2008). An improved scoring function for suboptimal polar ligand complexes. Journal of Computer-Aided Molecular Design. 23(3). 143–152. 4 indexed citations
13.
Thormann, Michael, David Vidal, Michael Almstetter, & Miquel Pons. (2007). Nomen Est Omen: Quantitative Prediction of Molecular Properties Directly from IUPAC Names. 1(1). 28–32. 14 indexed citations
14.
Vidal, David, et al.. (2007). Protein Tyrosine Phosphatase Oligomerization Studied by a Combination of 15N NMR Relaxation and 129Xe NMR. Effect of Buffer Containing Arginine and Glutamic Acid. Journal of the American Chemical Society. 129(18). 5946–5953. 13 indexed citations
15.
Vidal, David, et al.. (2007). Structure-based discovery of new small molecule inhibitors of low molecular weight protein tyrosine phosphatase. European Journal of Medicinal Chemistry. 42(8). 1102–1108. 27 indexed citations
16.
17.
Vidal, David, Michael Thormann, & Miquel Pons. (2005). LINGO, an Efficient Holographic Text Based Method To Calculate Biophysical Properties and Intermolecular Similarities. Journal of Chemical Information and Modeling. 45(2). 386–393. 141 indexed citations
18.
Vidal, David, Xavier Matías‐Guiu, & A. Alomar. (2004). Efficacy of imiquimod for the expression of Bcl-2, Ki67, p53 and basal cell carcinoma apoptosis. British Journal of Dermatology. 151(3). 656–662. 44 indexed citations
19.
Gilaberte, Montserrat, L. Puig, David Vidal, & Agustı́n Alomar. (2003). Acantholytic dyskeratotic naevi following Blaschko's lines: a mosaic form of Darier's disease. Journal of the European Academy of Dermatology and Venereology. 17(2). 196–199. 18 indexed citations
20.
Ruel, Jérôme, Richard P. Bobbin, David Vidal, Rémy Pujol, & Jean‐Luc Puel. (2000). The selective AMPA receptor antagonist GYKI 53784 blocks action potential generation and excitotoxicity in the guinea pig cochlea. Neuropharmacology. 39(11). 1959–1973. 69 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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