G.M. Antón-Fos

688 total citations
45 papers, 562 citations indexed

About

G.M. Antón-Fos is a scholar working on Computational Theory and Mathematics, Spectroscopy and Organic Chemistry. According to data from OpenAlex, G.M. Antón-Fos has authored 45 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Theory and Mathematics, 23 papers in Spectroscopy and 22 papers in Organic Chemistry. Recurrent topics in G.M. Antón-Fos's work include Computational Drug Discovery Methods (34 papers), Analytical Chemistry and Chromatography (23 papers) and Synthesis and biological activity (14 papers). G.M. Antón-Fos is often cited by papers focused on Computational Drug Discovery Methods (34 papers), Analytical Chemistry and Chromatography (23 papers) and Synthesis and biological activity (14 papers). G.M. Antón-Fos collaborates with scholars based in Spain. G.M. Antón-Fos's co-authors include María J. Duart, Ramón García‐Domenech, Jorge Gálvez, P. Aleman, Luis Lahuerta Zamora, Jesus Vicente de Julián‐Ortiz, Joaquín Calatayud, Beatriz Suay‐García, Antonio Falcó and Facundo Pérez‐Giménez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and International Journal of Molecular Sciences.

In The Last Decade

G.M. Antón-Fos

45 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G.M. Antón-Fos Spain 16 320 187 172 167 77 45 562
Facundo Pérez‐Giménez Spain 16 471 1.5× 156 0.8× 285 1.7× 151 0.9× 22 0.3× 48 645
Emanuela Gancia Italy 13 407 1.3× 114 0.6× 374 2.2× 285 1.7× 27 0.4× 14 795
R. Garcia‐Domenech Spain 11 352 1.1× 99 0.5× 192 1.1× 202 1.2× 8 0.1× 12 488
Julian Ivanov United States 12 266 0.8× 107 0.6× 73 0.4× 103 0.6× 43 0.6× 22 477
Suresh Babu Mekapati United States 14 324 1.0× 92 0.5× 237 1.4× 242 1.4× 20 0.3× 21 640
Andrew G. Mercader Argentina 14 356 1.1× 88 0.5× 175 1.0× 243 1.5× 26 0.3× 25 639
Krzesimir Ciura Poland 17 243 0.8× 265 1.4× 327 1.9× 147 0.9× 141 1.8× 69 817
Zahra Garkani‐Nejad Iran 14 216 0.7× 233 1.2× 173 1.0× 136 0.8× 105 1.4× 50 624
A.A. Sinkula United States 7 66 0.2× 88 0.5× 131 0.8× 155 0.9× 24 0.3× 9 437
Polina V. Oliferenko United States 11 140 0.4× 81 0.4× 93 0.5× 178 1.1× 45 0.6× 17 443

Countries citing papers authored by G.M. Antón-Fos

Since Specialization
Citations

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

Fields of papers citing papers by G.M. Antón-Fos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.M. Antón-Fos. 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 G.M. Antón-Fos. The network helps show where G.M. Antón-Fos may publish in the future.

Co-authorship network of co-authors of G.M. Antón-Fos

This figure shows the co-authorship network connecting the top 25 collaborators of G.M. Antón-Fos. A scholar is included among the top collaborators of G.M. Antón-Fos 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 G.M. Antón-Fos. G.M. Antón-Fos 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.
Antón-Fos, G.M., et al.. (2024). Overview of Computational Toxicology Methods Applied in Drug and Green Chemical Discovery. SHILAP Revista de lepidopterología. 14(4). 1901–1918. 7 indexed citations
2.
Suay‐García, Beatriz, et al.. (2022). Virtual Combinatorial Chemistry and Pharmacological Screening: A Short Guide to Drug Design. International Journal of Molecular Sciences. 23(3). 1620–1620. 20 indexed citations
3.
Suay‐García, Beatriz, et al.. (2022). Synthesis of Quinolones and Zwitterionic Quinolonate Derivatives with Broad-Spectrum Antibiotic Activity. Pharmaceuticals. 15(7). 818–818. 3 indexed citations
4.
Antón-Fos, G.M., et al.. (2022). New Pharmacokinetic and Microbiological Prediction Equations to Be Used as Models for the Search of Antibacterial Drugs. Pharmaceuticals. 15(2). 122–122. 2 indexed citations
5.
Aleman, P., et al.. (2021). Molecular Topology for the Search of New Anti-MRSA Compounds. International Journal of Molecular Sciences. 22(11). 5823–5823. 2 indexed citations
6.
Aleman, P., et al.. (2020). Molecular Topology for the Discovery of New Broad-Spectrum Antibacterial Drugs. Biomolecules. 10(9). 1343–1343. 5 indexed citations
7.
Suay‐García, Beatriz, et al.. (2020). Tree-Based QSAR Model for Drug Repurposing in the Discovery of New Antibacterial Compounds against Escherichia coli. Pharmaceuticals. 13(12). 431–431. 14 indexed citations
8.
Pérez‐Gracia, María Teresa, Beatriz Suay‐García, María J. Duart, et al.. (2017). Topological pattern for the search of new active drugs against methicillin resistant Staphylococcus aureus. European Journal of Medicinal Chemistry. 138. 807–815. 15 indexed citations
9.
Aleman, P., et al.. (2016). Topological Model for the Search of New Antibacterial Drugs. 158 Theoretical Candidates. Current Computer - Aided Drug Design. 11(4). 336–345. 8 indexed citations
10.
Zamora, Luis Lahuerta, et al.. (2010). Quantitative colorimetric-imaging analysis of nickel in iron meteorites. Talanta. 83(5). 1575–1579. 17 indexed citations
11.
Antón-Fos, G.M., et al.. (2009). Theoretical prediction of the native fluorescence of pharmaceuticals. Talanta. 79(2). 412–418. 9 indexed citations
12.
Duart, María J., G.M. Antón-Fos, Luis Lahuerta Zamora, & Joaquín Calatayud. (2009). Use of QSAR methods for predicting the chemiluminescent behaviour of organic compounds upon reaction with potassium permanganate in an acid medium. Talanta. 79(3). 905–910. 3 indexed citations
13.
López-Malo, Daniel, et al.. (2007). Photo-induced chemiluminescence-based determination of diphenamid by using a multicommuted flow system. Talanta. 73(4). 718–725. 10 indexed citations
14.
Antón-Fos, G.M., et al.. (2006). Theoretical prediction of the photoinduced chemiluminescence of pesticides. Talanta. 72(2). 378–386. 17 indexed citations
15.
Antón-Fos, G.M., et al.. (2004). New hypoglycaemic agents selected by molecular topology. International Journal of Pharmaceutics. 278(1). 111–118. 18 indexed citations
16.
Duart, María J., et al.. (2003). Search compounds with antimicrobial activity by applying molecular topology to selected quinolones. Bioorganic & Medicinal Chemistry Letters. 13(16). 2699–2702. 11 indexed citations
17.
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
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.
García‐Domenech, Ramón, et al.. (2001). Search of a Topological Pattern to Evaluate Toxicity of Heterogeneous Compounds. SAR and QSAR in environmental research. 12(1-2). 237–254. 19 indexed citations
20.
Pérez‐Giménez, Facundo, et al.. (1995). Calculation of chromatographic properties of barbiturates by molecular topology. Chromatographia. 41(5-6). 702–706. 6 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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