Rafael Gozalbes

1.4k total citations
49 papers, 827 citations indexed

About

Rafael Gozalbes is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Rafael Gozalbes has authored 49 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 19 papers in Molecular Biology and 9 papers in Organic Chemistry. Recurrent topics in Rafael Gozalbes's work include Computational Drug Discovery Methods (31 papers), Analytical Chemistry and Chromatography (8 papers) and RNA Interference and Gene Delivery (3 papers). Rafael Gozalbes is often cited by papers focused on Computational Drug Discovery Methods (31 papers), Analytical Chemistry and Chromatography (8 papers) and RNA Interference and Gene Delivery (3 papers). Rafael Gozalbes collaborates with scholars based in Spain, France and Italy. Rafael Gozalbes's co-authors include Francis Derouin, Antonio Pineda‐Lucena, J. P. Doucet, Jorge Gálvez, Ramón García‐Domenech, Jesus Vicente de Julián‐Ortiz, Stephen J. Barigye, Rodrigo J. Carbajo, Nicolas Froloff and R. Garcia‐Domenech and has published in prestigious journals such as PLoS ONE, Chemosphere and International Journal of Molecular Sciences.

In The Last Decade

Rafael Gozalbes

46 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafael Gozalbes Spain 18 423 381 245 86 85 49 827
Juan A. Castillo‐Garit Spain 21 742 1.8× 549 1.4× 291 1.2× 83 1.0× 188 2.2× 66 1.2k
Facundo Pérez‐Giménez Spain 16 471 1.1× 285 0.7× 151 0.6× 61 0.7× 156 1.8× 48 645
Sisir Nandi India 15 242 0.6× 290 0.8× 228 0.9× 52 0.6× 18 0.2× 98 829
Sunil Gupta India 21 566 1.3× 211 0.6× 531 2.2× 117 1.4× 75 0.9× 49 1.2k
Satish Sardana India 18 155 0.4× 194 0.5× 118 0.5× 55 0.6× 16 0.2× 57 841
Marta Teijeira Spain 18 438 1.0× 497 1.3× 542 2.2× 124 1.4× 87 1.0× 69 1.2k
Yenamandra S. Prabhakar India 21 414 1.0× 411 1.1× 667 2.7× 121 1.4× 57 0.7× 82 1.2k
Zongru Guo China 19 224 0.5× 493 1.3× 545 2.2× 248 2.9× 67 0.8× 53 1.3k
Reinaldo Molina Cuba 19 550 1.3× 763 2.0× 165 0.7× 83 1.0× 68 0.8× 42 1.1k
Alina Montero Cuba 14 340 0.8× 251 0.7× 299 1.2× 48 0.6× 66 0.8× 22 696

Countries citing papers authored by Rafael Gozalbes

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Gozalbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Gozalbes

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Gozalbes. A scholar is included among the top collaborators of Rafael Gozalbes 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 Rafael Gozalbes. Rafael Gozalbes 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.
Lambert, R, et al.. (2025). Drug-induced cytotoxicity prediction in muscle cells, an application of the Cell Painting assay. PLoS ONE. 20(3). e0320040–e0320040.
2.
Palacio, J., Alessandra Roncaglioni, Domenico Gadaleta, et al.. (2025). DockTox: Targeting molecular initiating events in organ toxicity through molecular docking. Toxicology. 515. 154155–154155. 1 indexed citations
3.
Gadaleta, Domenico, et al.. (2024). Comprehensive benchmarking of computational tools for predicting toxicokinetic and physicochemical properties of chemicals. Journal of Cheminformatics. 16(1). 145–145. 2 indexed citations
4.
Moncho, Salvador, Eva Serrano‐Candelas, Jesus Vicente de Julián‐Ortiz, & Rafael Gozalbes. (2024). A review on the structural characterization of nanomaterials for nano-QSAR models. Beilstein Journal of Nanotechnology. 15. 854–866. 3 indexed citations
5.
Olivares, Marta, Alfonso Benítez‐Páez, Eva Serrano‐Candelas, et al.. (2024). Comparative Binding Study of Gliptins to Bacterial DPP4-like Enzymes for the Treatment of Type 2 Diabetes Mellitus (T2DM). International Journal of Molecular Sciences. 25(11). 5744–5744. 2 indexed citations
6.
Serrano‐Candelas, Eva, et al.. (2024). GenoITS: Implementation of an Integrated Testing Strategy workflow for genotoxicity using QSAR-based tools. 1. 100005–100005. 1 indexed citations
7.
Sancho, Mónica, Eva Serrano‐Candelas, Stephen J. Barigye, et al.. (2022). Identification of NLRP3PYD Homo-Oligomerization Inhibitors with Anti-Inflammatory Activity. International Journal of Molecular Sciences. 23(3). 1651–1651. 13 indexed citations
8.
Gozalbes, Rafael, et al.. (2021). Assessing the chemical-induced estrogenicity using in silico and in vitro methods. Environmental Toxicology and Pharmacology. 87. 103688–103688. 1 indexed citations
9.
Giner, Rosa M., et al.. (2020). Predictive modeling of aryl hydrocarbon receptor (AhR) agonism. Chemosphere. 256. 127068–127068. 16 indexed citations
10.
Scippo, Marie‐Louise, et al.. (2020). Elucidating the aryl hydrocarbon receptor antagonism from a chemical-structural perspective. SAR and QSAR in environmental research. 31(3). 209–226. 8 indexed citations
11.
Julián‐Ortiz, Jesus Vicente de, et al.. (2020). Revisión de los modelos computacionales que relacionan la estructura química con la disrupción del sistema endocrino. Repository of Digital Objects for Teaching Research and Culture (University of Valencia). 37(1). 55–68. 1 indexed citations
12.
Barigye, Stephen J., et al.. (2020). Targeting the aryl hydrocarbon receptor with a novel set of triarylmethanes. European Journal of Medicinal Chemistry. 207. 112777–112777. 16 indexed citations
13.
Julián‐Ortiz, Jesus Vicente de, Rafael Gozalbes, & Emili Besalú. (2016). Discriminating Drug-Like Compounds by Partition Trees with Quantum Similarity Indices and Graph Invariants. Current Pharmaceutical Design. 22(34). 5179–5195. 1 indexed citations
14.
Gozalbes, Rafael, et al.. (2014). Métodos computacionales en toxicología predictiva: aplicación a la reducción de ensayos con animales en el contexto de la legislación comunitaria REACH. Redalyc (Universidad Autónoma del Estado de México). 31(2). 157–167. 2 indexed citations
15.
Gozalbes, Rafael, et al.. (2013). Hit identification of novel heparanase inhibitors by structure- and ligand-based approaches. Bioorganic & Medicinal Chemistry. 21(7). 1944–1951. 17 indexed citations
16.
Gozalbes, Rafael, et al.. (2011). QSAR-based permeability model for drug-like compounds. Bioorganic & Medicinal Chemistry. 19(8). 2615–2624. 42 indexed citations
17.
Gozalbes, Rafael, Rodrigo J. Carbajo, & Antonio Pineda‐Lucena. (2010). Contributions of Computational Chemistry and Biophysical Techniques to Fragment-Based Drug Discovery. Current Medicinal Chemistry. 17(17). 1769–1794. 24 indexed citations
18.
Duart, María J., G.M. Antón-Fos, Jesus Vicente de Julián‐Ortiz, et al.. (2002). Use of molecular topology for the prediction of physico-chemical, pharmacokinetic and toxicological properties of a group of antihistaminic drugs. International Journal of Pharmaceutics. 246(1-2). 111–119. 18 indexed citations
19.
Gozalbes, Rafael, J. P. Doucet, & Francis Derouin. (2002). Application of Topological Descriptors in QSAR and Drug Design: History and New Trends. PubMed. 2(1). 93–102. 137 indexed citations
20.
Gozalbes, Rafael, Monique Brun-Pascaud, Ramón García‐Domenech, et al.. (2000). Prediction of Quinolone Activity against Mycobacterium avium by Molecular Topology and Virtual Computational Screening. Antimicrobial Agents and Chemotherapy. 44(10). 2764–2770. 28 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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