Facundo Pérez‐Giménez

811 total citations
48 papers, 645 citations indexed

About

Facundo Pérez‐Giménez is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Facundo Pérez‐Giménez has authored 48 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Theory and Mathematics, 19 papers in Organic Chemistry and 14 papers in Spectroscopy. Recurrent topics in Facundo Pérez‐Giménez's work include Computational Drug Discovery Methods (34 papers), Analytical Chemistry and Chromatography (12 papers) and Free Radicals and Antioxidants (7 papers). Facundo Pérez‐Giménez is often cited by papers focused on Computational Drug Discovery Methods (34 papers), Analytical Chemistry and Chromatography (12 papers) and Free Radicals and Antioxidants (7 papers). Facundo Pérez‐Giménez collaborates with scholars based in Spain, Cuba and Colombia. Facundo Pérez‐Giménez's co-authors include Yovani Marrero‐Ponce, Stephen J. Barigye, Francisco Torrens, Wladimiro Dı́az-Villanueva, César R. García‐Jacas, Gerardo M. Casañola‐Martín, María José Castro-Bleda, G.M. Antón-Fos, Juan A. Castillo‐Garit and Danail Bonchev and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Medicinal Chemistry and Chemical Physics Letters.

In The Last Decade

Facundo Pérez‐Giménez

44 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Facundo Pérez‐Giménez Spain 16 471 285 156 151 82 48 645
Rafael Gozalbes Spain 18 423 0.9× 381 1.3× 85 0.5× 245 1.6× 62 0.8× 49 827
Juan A. Castillo‐Garit Spain 21 742 1.6× 549 1.9× 188 1.2× 291 1.9× 128 1.6× 66 1.2k
Yu. V. Borodina Russia 13 428 0.9× 342 1.2× 93 0.6× 234 1.5× 57 0.7× 29 822
Suresh Babu Mekapati United States 14 324 0.7× 237 0.8× 92 0.6× 242 1.6× 57 0.7× 21 640
Timon Schroeter Germany 12 466 1.0× 265 0.9× 103 0.7× 44 0.3× 188 2.3× 14 631
Emanuela Gancia Italy 13 407 0.9× 374 1.3× 114 0.7× 285 1.9× 91 1.1× 14 795
R. Garcia‐Domenech Spain 11 352 0.7× 192 0.7× 99 0.6× 202 1.3× 15 0.2× 12 488
G.M. Antón-Fos Spain 16 320 0.7× 172 0.6× 187 1.2× 167 1.1× 24 0.3× 45 562
César R. García‐Jacas Mexico 16 376 0.8× 403 1.4× 110 0.7× 86 0.6× 84 1.0× 37 696
Sunil Gupta India 21 566 1.2× 211 0.7× 75 0.5× 531 3.5× 115 1.4× 49 1.2k

Countries citing papers authored by Facundo Pérez‐Giménez

Since Specialization
Citations

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

Fields of papers citing papers by Facundo Pérez‐Giménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Facundo Pérez‐Giménez. 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 Facundo Pérez‐Giménez. The network helps show where Facundo Pérez‐Giménez may publish in the future.

Co-authorship network of co-authors of Facundo Pérez‐Giménez

This figure shows the co-authorship network connecting the top 25 collaborators of Facundo Pérez‐Giménez. A scholar is included among the top collaborators of Facundo Pérez‐Giménez 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 Facundo Pérez‐Giménez. Facundo Pérez‐Giménez 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.
Castillo‐Garit, Juan A., et al.. (2025). Combining QSAR and Molecular Docking for the Methodological Design of Novel Radiotracers Targeting Parkinson’s Disease. Applied Sciences. 15(15). 8134–8134.
2.
Gálvez-Llompart, María, David Vela‐Corcía, Álvaro Polonio, et al.. (2024). Rational Design of a Potential New Nematicide Targeting Chitin Deacetylase. Journal of Agricultural and Food Chemistry. 72(5). 2482–2491. 2 indexed citations
3.
Castillo‐Garit, Juan A., et al.. (2021). Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree. SAR and QSAR in environmental research. 32(1). 71–83. 4 indexed citations
4.
Castillo‐Garit, Juan A., et al.. (2021). Biosynthetic enzymes of the SARS-CoV-2 as potential targets for the discovery of new antiviral drugs. Repository of Digital Objects for Teaching Research and Culture (University of Valencia). 17–23. 1 indexed citations
5.
Marrero‐Ponce, Yovani, et al.. (2019). LEGO-based generalized set of two linear algebraic 3D bio-macro-molecular descriptors: Theory and validation by QSARs. Journal of Theoretical Biology. 485. 110039–110039. 8 indexed citations
6.
Castillo‐Garit, Juan A., et al.. (2018). Computational Identification of Chemical Compounds with Potential Activity against Leishmania amazonensis using Nonlinear Machine Learning Techniques. Current Topics in Medicinal Chemistry. 18(27). 2347–2354. 11 indexed citations
7.
Casañola‐Martín, Gerardo M., Huong Le‐Thi‐Thu, Facundo Pérez‐Giménez, et al.. (2016). Multi-output Model with Box-Jenkins Operators of Quadratic Indices for Prediction of Malaria and Cancer Inhibitors Targeting Ubiquitin- Proteasome Pathway (UPP) Proteins. Current Protein and Peptide Science. 17(3). 220–227. 10 indexed citations
8.
Marrero‐Ponce, Yovani, et al.. (2015). QuBiLs-MAS method in early drug discovery and rational drug identification of antifungal agents. SAR and QSAR in environmental research. 26(11). 943–958. 26 indexed citations
9.
Barigye, Stephen J., et al.. (2015). IMMAN: free software for information theory-based chemometric analysis. Molecular Diversity. 19(2). 305–319. 48 indexed citations
10.
Casañola‐Martín, Gerardo M., Huong Le‐Thi‐Thu, Facundo Pérez‐Giménez, et al.. (2015). Multi-output model with Box–Jenkins operators of linear indices to predict multi-target inhibitors of ubiquitin–proteasome pathway. Molecular Diversity. 19(2). 347–356. 24 indexed citations
11.
Castillo‐Garit, Juan A., Yovani Marrero‐Ponce, Stephen J. Barigye, et al.. (2015). In silicoAntibacterial Activity Modeling Based on the TOMOCOMD-CARDD Approach. Journal of the Brazilian Chemical Society. 8 indexed citations
12.
13.
Barigye, Stephen J., Yovani Marrero‐Ponce, Facundo Pérez‐Giménez, & Danail Bonchev. (2014). Trends in information theory-based chemical structure codification. Molecular Diversity. 18(3). 673–686. 34 indexed citations
14.
Barigye, Stephen J., Yovani Marrero‐Ponce, Jure Zupan, Facundo Pérez‐Giménez, & Matheus P. Freitas. (2014). Structural and Physicochemical Interpretation of GT-STAF Information Theory-Based Indices. Bulletin of the Chemical Society of Japan. 88(1). 97–109. 6 indexed citations
15.
Castillo‐Garit, Juan A., Celeste Vega, Míriam Rolón, et al.. (2011). Ligand-based discovery of novel trypanosomicidal drug-like compounds: In silico identification and experimental support. European Journal of Medicinal Chemistry. 46(8). 3324–3330. 16 indexed citations
16.
17.
Marrero‐Ponce, Yovani, Gerardo M. Casañola‐Martín, Juan A. Castillo‐Garit, et al.. (2010). Bond-based linear indices of the non-stochastic and stochastic edge-adjacency matrix. 1. Theory and modeling of ChemPhys properties of organic molecules. Molecular Diversity. 14(4). 731–753. 16 indexed citations
18.
19.
Castillo‐Garit, Juan A., Celeste Vega, Míriam Rolón, et al.. (2009). Computational discovery of novel trypanosomicidal drug-like chemicals by using bond-based non-stochastic and stochastic quadratic maps and linear discriminant analysis. European Journal of Pharmaceutical Sciences. 39(1-3). 30–36. 19 indexed citations
20.
Marrero‐Ponce, Yovani, Alfredo Meneses‐Marcel, Alina Montero, et al.. (2008). Antiprotozoan Lead Discovery by Aligning Dry and Wet Screening: Prediction, Synthesis, and Biological Assay of Novel Quinoxalinones. 1246–1246. 1 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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