Jorge Gálvez

3.9k total citations
115 papers, 3.1k citations indexed

About

Jorge Gálvez is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Jorge Gálvez has authored 115 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computational Theory and Mathematics, 51 papers in Organic Chemistry and 30 papers in Molecular Biology. Recurrent topics in Jorge Gálvez's work include Computational Drug Discovery Methods (76 papers), Synthesis and biological activity (36 papers) and Analytical Chemistry and Chromatography (13 papers). Jorge Gálvez is often cited by papers focused on Computational Drug Discovery Methods (76 papers), Synthesis and biological activity (36 papers) and Analytical Chemistry and Chromatography (13 papers). Jorge Gálvez collaborates with scholars based in Spain, United States and France. Jorge Gálvez's co-authors include Ramón García‐Domenech, Jesus Vicente de Julián‐Ortiz, Rosa M. Soler, R. Garcia‐Domenech, Arkadiusz Z. Dudek, Tomasz Arodź, María Gálvez-Llompart, Ricardo Garcı́a, Lionello Pogliani and Francis Derouin and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jorge Gálvez

112 papers receiving 3.0k 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 Gálvez Spain 30 1.7k 1.1k 1.1k 402 271 115 3.1k
Ramón García‐Domenech Spain 26 1.3k 0.8× 786 0.7× 813 0.8× 323 0.8× 208 0.8× 99 2.1k
Subhash C. Basak United States 36 2.9k 1.7× 1.6k 1.4× 1.5k 1.4× 925 2.3× 273 1.0× 207 4.6k
Yovani Marrero‐Ponce Cuba 38 2.3k 1.3× 812 0.7× 1.8k 1.7× 562 1.4× 255 0.9× 194 3.8k
Santiago Vilar Spain 31 1.8k 1.0× 838 0.8× 2.0k 1.8× 124 0.3× 548 2.0× 77 3.9k
Jesus Vicente de Julián‐Ortiz Spain 21 927 0.5× 576 0.5× 472 0.4× 295 0.7× 133 0.5× 86 1.7k
Vladimir A. Palyulin Russia 30 1.8k 1.0× 1.7k 1.5× 1.8k 1.7× 659 1.6× 693 2.6× 277 4.9k
Francisco Torrens Spain 29 1.5k 0.9× 915 0.8× 1.1k 1.0× 431 1.1× 180 0.7× 229 3.1k
Victor S. Lobanov United States 27 2.2k 1.2× 1.5k 1.3× 1.5k 1.4× 974 2.4× 188 0.7× 55 4.9k
Hugo Kubinyi Germany 28 2.2k 1.2× 1.1k 1.0× 1.8k 1.7× 769 1.9× 329 1.2× 75 4.0k
Pablo R. Duchowicz Argentina 30 1.5k 0.9× 931 0.8× 630 0.6× 468 1.2× 176 0.6× 141 2.5k

Countries citing papers authored by Jorge Gálvez

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Gálvez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Gálvez

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Gálvez. A scholar is included among the top collaborators of Jorge Gálvez 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 Gálvez. Jorge Gálvez 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.
Ávalos, Omar, Jorge Gálvez, Liang Yu, et al.. (2024). Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning. Computers in Biology and Medicine. 179. 108856–108856. 2 indexed citations
2.
Horn, Biljana, Michael Joyce, Kevin O. McNerney, et al.. (2024). The role of donor type and pre‐transplant immunosuppression on outcomes of hematopoietic stem cell transplantation in children and young adults with severe aplastic anemia. Pediatric Transplantation. 28(4). e14784–e14784.
3.
Julián‐Ortiz, Jesus Vicente de, et al.. (2022). Similarity-Based Virtual Screening to Find Antituberculosis Agents Based on Novel Scaffolds: Design, Syntheses and Pharmacological Assays. International Journal of Molecular Sciences. 23(23). 15057–15057. 2 indexed citations
4.
Gálvez-Llompart, María, et al.. (2015). Latest advances in molecular topology applications for drug discovery. Expert Opinion on Drug Discovery. 10(9). 945–957. 36 indexed citations
5.
Gálvez, Jorge, et al.. (2013). Advances in the molecular modeling and quantitative structure–activity relationship-based design for antihistamines. Expert Opinion on Drug Discovery. 8(3). 305–317. 7 indexed citations
6.
Gálvez, Jorge, María Gálvez-Llompart, & Ramón García‐Domenech. (2012). Molecular topology as a novel approach for drug discovery. Expert Opinion on Drug Discovery. 7(2). 133–153. 16 indexed citations
7.
García‐Domenech, Ramón, et al.. (2010). Búsqueda de modelos QSAR para la actividad repelente de sesquiterpenos naturales frente al mosquito de la Fiebre Amarilla, Aedes aegypti. Afinidad. 67(547). 187–192. 3 indexed citations
8.
Jasiński, Piotr, Pawel Zwolak, Rachel I. Vogel, et al.. (2010). MT103 inhibits tumor growth with minimal toxicity in murine model of lung carcinoma via induction of apoptosis. Investigational New Drugs. 29(5). 846–852. 12 indexed citations
9.
García‐Domenech, Ramón, et al.. (2009). Application of molecular topology to the prediction of mosquito repellents of a group of terpenoid compounds. Molecular Diversity. 14(2). 321–329. 17 indexed citations
10.
Amigó, José M., Jorge Gálvez, & Vincent M. Villar. (2009). A review on molecular topology: applying graph theory to drug discovery and design. Die Naturwissenschaften. 96(7). 749–761. 35 indexed citations
11.
García‐Domenech, Ramón, et al.. (2008). Aplicación de la Topología Molecular en la búsqueda de nuevos agentes activos frente a Leishmania. Anales de la Real Academia Nacional de Farmacia. 74(3). 345–368. 1 indexed citations
12.
García‐Domenech, Ramón, et al.. (2008). Application of molecular topology to the prediction of the phenoloxidase inhibition by a group of benzaldehyde thiosemicarbazone and their derivatives. Afinidad. 65(538). 430–436.
13.
García‐Domenech, Ramón, et al.. (2008). Application of molecular topology to the prediction of the antimalarial activity of a group of uracil-based acyclic and deoxyuridine compounds. International Journal of Pharmaceutics. 363(1-2). 78–84. 13 indexed citations
14.
García‐Domenech, Ramón, et al.. (2007). Prediction of acute toxicity of organophosphorus pesticides using topological indices. SAR and QSAR in environmental research. 18(7-8). 745–755. 15 indexed citations
16.
Dudek, Arkadiusz Z., Tomasz Arodź, & Jorge Gálvez. (2006). Computational Methods in Developing Quantitative Structure-Activity Relationships (QSAR): A Review. Combinatorial Chemistry & High Throughput Screening. 9(3). 213–228. 304 indexed citations
17.
Julián‐Ortiz, Jesus Vicente de, Ramón García‐Domenech, Jorge Gálvez, & Lionello Pogliani. (2005). Predictability and prediction of lowest observed adverse effect levels in a structurally heterogeneous set of chemicals. SAR and QSAR in environmental research. 16(3). 263–272. 21 indexed citations
18.
Duart, María J., Ramón García‐Domenech, G.M. Antón-Fos, & Jorge Gálvez. (2001). Optimization of a mathematical topological pattern for the prediction of antihistaminic activity. Journal of Computer-Aided Molecular Design. 15(6). 561–572. 21 indexed citations
19.
Garcia‐Domenech, R., et al.. (1998). New bronchodilators selected by molecular topology. Bioorganic & Medicinal Chemistry Letters. 8(5). 477–482. 48 indexed citations
20.
Gálvez, Jorge, R. Garcia‐Domenech, Jesus Vicente de Julián‐Ortiz, & Rosa M. Soler. (1995). Topological Approach to Drug Design. Journal of Chemical Information and Computer Sciences. 35(2). 272–284. 155 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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