Juan M. Luco

889 total citations
26 papers, 732 citations indexed

About

Juan M. Luco is a scholar working on Spectroscopy, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Juan M. Luco has authored 26 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Spectroscopy, 7 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in Juan M. Luco's work include Analytical Chemistry and Chromatography (9 papers), Computational Drug Discovery Methods (7 papers) and Garlic and Onion Studies (4 papers). Juan M. Luco is often cited by papers focused on Analytical Chemistry and Chromatography (9 papers), Computational Drug Discovery Methods (7 papers) and Garlic and Onion Studies (4 papers). Juan M. Luco collaborates with scholars based in Argentina, Spain and Sweden. Juan M. Luco's co-authors include María S. Giménez, Alejandra B. Camargo, Eduardo Marchevsky, S. Mucciarelli, Nora Lilian Escudero, Julio Raba, Carlos E. Tonn, Nora Priolo, S Barberis and Jorgelina C. Altamirano and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Pharmaceutical Sciences.

In The Last Decade

Juan M. Luco

26 papers receiving 698 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan M. Luco Argentina 16 269 244 178 116 106 26 732
Daniel Cabrol‐Bass France 19 280 1.0× 275 1.1× 191 1.1× 272 2.3× 168 1.6× 58 1.1k
Filip Andrić Serbia 17 193 0.7× 176 0.7× 219 1.2× 106 0.9× 304 2.9× 52 1.0k
Tomaž Šolmajer Slovenia 14 355 1.3× 123 0.5× 79 0.4× 269 2.3× 90 0.8× 41 853
Alexander V. Dmitriev Russia 20 511 1.9× 505 2.1× 130 0.7× 203 1.8× 48 0.5× 72 1.2k
Martina Guerra Italy 16 267 1.0× 31 0.1× 103 0.6× 104 0.9× 117 1.1× 36 797
Maria Sorokina Germany 11 661 2.5× 350 1.4× 84 0.5× 98 0.8× 55 0.5× 26 1.1k
Carmen Lúcia Cardoso Brazil 19 406 1.5× 110 0.5× 73 0.4× 214 1.8× 45 0.4× 52 905
Carlo Barnaba United States 19 345 1.3× 36 0.1× 75 0.4× 170 1.5× 169 1.6× 41 946
Sandra Šegan Serbia 13 168 0.6× 135 0.6× 119 0.7× 97 0.8× 37 0.3× 33 450

Countries citing papers authored by Juan M. Luco

Since Specialization
Citations

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

Fields of papers citing papers by Juan M. Luco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Luco. 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 Juan M. Luco. The network helps show where Juan M. Luco may publish in the future.

Co-authorship network of co-authors of Juan M. Luco

This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Luco. A scholar is included among the top collaborators of Juan M. Luco 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 Juan M. Luco. Juan M. Luco 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.
Ramírez, Daniela Andrea, et al.. (2021). Permeability Data of Organosulfur Garlic Compounds Estimated by Immobilized Artificial Membrane Chromatography: Correlation Across Several Biological Barriers. Frontiers in Chemistry. 9. 690707–690707. 11 indexed citations
2.
Ramírez, Daniela Andrea, Eduardo Marchevsky, Juan M. Luco, & Alejandra B. Camargo. (2019). Quantitative structure-activity relationship to elucidate human CYP2A6 inhibition by organosulfur compounds. ADMET & DMPK. 7(3). 196–209. 2 indexed citations
3.
Camargo, Alejandra B., et al.. (2015). Molecular Factors Influencing the Affinity of Flavonoid Compounds on PGlycoprotein Efflux Transporter. Current Computer - Aided Drug Design. 10(3). 250–258. 3 indexed citations
4.
Locatelli, Daniela A., et al.. (2014). Solid phase microextraction coupled to liquid chromatography. Analysis of organosulphur compounds avoiding artifacts formation. Food Chemistry. 157. 199–204. 29 indexed citations
5.
Camargo, Alejandra B., Eduardo Marchevsky, & Juan M. Luco. (2007). QSAR Study for the Soybean 15-Lipoxygenase Inhibitory Activity of Organosulfur Compounds Derived from the Essential Oil of Garlic. Journal of Agricultural and Food Chemistry. 55(8). 3096–3103. 14 indexed citations
6.
Luco, Juan M. & Eduardo Marchevsky. (2006). QSAR Studies on Blood-Brain Barrier Permeation. Current Computer - Aided Drug Design. 2(1). 31–55. 15 indexed citations
7.
Oliveros, Liliana, et al.. (2005). Alterations in the lipid content of pituitary gland and serum prolactin and growth hormone in cadmium treated rats. BioMetals. 18(3). 213–220. 27 indexed citations
8.
Camiña, José M., et al.. (2004). Simultaneous determination of Cu, Zn and Fe in honey using partial least square regression method PLS-2. Chemia Analityczna. 49(5). 717–727. 2 indexed citations
9.
Escudero, Nora Lilian, et al.. (2004). Comparison of the Chemical Composition and Nutritional Value of Amaranthus cruentus Flour and Its Protein Concentrate. Plant Foods for Human Nutrition. 59(1). 15–21. 74 indexed citations
10.
Luco, Juan M., Jorge Gálvez, Ramón García‐Domenech, & Jesus Vicente de Julián‐Ortiz. (2004). Structural invariants for the prediction of relative toxicities of polychloro dibenzo-p-dioxins and dibenzofurans. Molecular Diversity. 8(4). 331–342. 3 indexed citations
11.
Silva, María Fernanda, et al.. (2001). Amino acids characterization by reversed-phase liquid chromatography. Partial least-squares modeling of their transport properties. Chromatographia. 53(7-8). 392–400. 19 indexed citations
12.
Priolo, Nora, et al.. (2001). Isolation and purification of cysteine peptidases from the latex of Araujia hortorum fruits. Journal of Molecular Catalysis B Enzymatic. 15(4-6). 177–189. 20 indexed citations
13.
Pappano, Nora B., et al.. (2000). High-performance liquid chromatography of chalcones: Quantitative structure-retention relationships using partial least-squares (PLS) modeling. Chromatographia. 51(11-12). 727–735. 26 indexed citations
14.
15.
Luco, Juan M.. (1999). Prediction of the Brain−Blood Distribution of a Large Set of Drugs from Structurally Derived Descriptors Using Partial Least-Squares (PLS) Modeling. Journal of Chemical Information and Computer Sciences. 39(2). 396–404. 168 indexed citations
16.
Blanco, S., et al.. (1997). Theoretical study of cyclization of 2′-hydroxychalcone. Journal of Molecular Structure THEOCHEM. 390(1-3). 209–215. 14 indexed citations
17.
Fernández, Sara, et al.. (1996). Composition and biological evaluation of Amaranthus standleyanus L. seed flour. Sciences des Aliments. 16(3). 289–296. 1 indexed citations
18.
Luco, Juan M., et al.. (1995). Molecular Topology and Quantum Chemical Descriptors in the Study of Reversed-Phase Liquid Chromatography. Hydrogen-Bonding Behavior of Chalcones and Flavanones. Journal of Pharmaceutical Sciences. 84(7). 903–908. 19 indexed citations
19.
Debattista, Nora B., et al.. (1993). Kinetic determination of pKa in 2′-hydroxychalcones. Tetrahedron Letters. 34(29). 4615–4618. 7 indexed citations
20.
Luco, Juan M., et al.. (1992). Niveles de Pesticidas Organoclorados en Aguas de la Provincia de San Luis (República Argentina). El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 3 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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