Pablo R. Duchowicz

3.1k total citations
141 papers, 2.5k citations indexed

About

Pablo R. Duchowicz is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Pablo R. Duchowicz has authored 141 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computational Theory and Mathematics, 60 papers in Organic Chemistry and 31 papers in Spectroscopy. Recurrent topics in Pablo R. Duchowicz's work include Computational Drug Discovery Methods (100 papers), Free Radicals and Antioxidants (30 papers) and Analytical Chemistry and Chromatography (27 papers). Pablo R. Duchowicz is often cited by papers focused on Computational Drug Discovery Methods (100 papers), Free Radicals and Antioxidants (30 papers) and Analytical Chemistry and Chromatography (27 papers). Pablo R. Duchowicz collaborates with scholars based in Argentina, Spain and Italy. Pablo R. Duchowicz's co-authors include Eduardo A. Castro, Francisco M. Fernández, Andrew G. Mercader, Erlinda V. Ortiz, Gustavo P. Romanelli, Maykel Pérez González, Luis E. Bruno‐Blanch, Alan Talevi, Daniel E. Bacelo and Andrey A. Toropov and has published in prestigious journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Pablo R. Duchowicz

140 papers receiving 2.5k citations

Peers

Pablo R. Duchowicz
Pablo R. Duchowicz
Citations per year, relative to Pablo R. Duchowicz Pablo R. Duchowicz (= 1×) peers Indrani Mitra

Countries citing papers authored by Pablo R. Duchowicz

Since Specialization
Citations

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

Fields of papers citing papers by Pablo R. Duchowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo R. Duchowicz. 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 Pablo R. Duchowicz. The network helps show where Pablo R. Duchowicz may publish in the future.

Co-authorship network of co-authors of Pablo R. Duchowicz

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo R. Duchowicz. A scholar is included among the top collaborators of Pablo R. Duchowicz 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 Pablo R. Duchowicz. Pablo R. Duchowicz 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.
Rojas, Cristian, et al.. (2024). Quantitative structure-property relationship for gas-chromatographic retention indices of volatile organic compounds in colored-quinoa seeds. Journal of Food Composition and Analysis. 137. 106843–106843. 1 indexed citations
2.
Duchowicz, Pablo R., et al.. (2024). Prediction of the heats of combustion for food-related organic compounds. A quantitative structure–property relationship (QSPR) study. Journal of Thermal Analysis and Calorimetry. 149(21). 11747–11759. 1 indexed citations
3.
Bellera, Carolina L., et al.. (2021). Ensemble learning application to discover new trypanothione synthetase inhibitors. Molecular Diversity. 25(3). 1361–1373. 4 indexed citations
4.
Castaño, Jovanny A. Gómez, et al.. (2020). Antiprotozoal QSAR modelling for trypanosomiasis (Chagas disease) based on thiosemicarbazone and thiazole derivatives. Journal of Molecular Graphics and Modelling. 103. 107821–107821. 11 indexed citations
5.
Bacelo, Daniel E., et al.. (2018). Conformation-independent quantitative structure-property relationships study on water solubility of pesticides. Ecotoxicology and Environmental Safety. 171. 47–53. 23 indexed citations
6.
Martínez, Juan C. Garro, et al.. (2014). Lacosamide Derivatives with Anticonvulsant Activity as Carbonic Anhydrase Inhibitors. Molecular Modeling, Docking and QSAR Analysis. Current Computer - Aided Drug Design. 10(2). 160–167. 3 indexed citations
7.
Duchowicz, Pablo R., et al.. (2013). Amino acid profiles and quantitative structure–property relationship models as markers for Merlot and Torrontés wines. Food Chemistry. 140(1-2). 210–216. 16 indexed citations
8.
Romanelli, Gustavo P., Eduardo G. Virla, Pablo R. Duchowicz, et al.. (2010). Sustainable Synthesis of Flavonoid Derivatives, QSAR Study and Insecticidal Activity against the Fall Armyworm, Spodoptera frugiperda (Lep.: Noctuidae). Journal of Agricultural and Food Chemistry. 58(10). 6290–6295. 39 indexed citations
9.
Ibezim, Emmanuel C., et al.. (2009). Computer-Aided Linear Modeling Employing Qsar for Drug Discovery. Scientific Research and Essays. 4(13). 1559–1564. 16 indexed citations
10.
Duchowicz, Pablo R., et al.. (2007). QSAR analysis for heterocyclic antifungals. Bioorganic & Medicinal Chemistry. 15(7). 2680–2689. 39 indexed citations
11.
Duchowicz, Pablo R., et al.. (2006). QSPR prediction of the Dubinin–Radushkevich's k parameter for the adsorption of organic vapors on BPL carbon. Atmospheric Environment. 40(16). 2929–2934. 12 indexed citations
12.
Katritzky, Alan R., Liliana Păcureanu, Dimitar A. Dobchev, et al.. (2006). QSAR modeling of the inhibition of Glycogen Synthase Kinase-3. Bioorganic & Medicinal Chemistry. 14(14). 4987–5002. 23 indexed citations
13.
Duchowicz, Pablo R. & Eduardo A. Castro. (2005). COMPARISON BETWEEN TWO DIFFERENT APPROACHES TOWARD ATOMIC RADII. SSRN Electronic Journal. 1 indexed citations
14.
Duchowicz, Pablo R., et al.. (2004). QSPR Modeling Of The Octanol/Water Partition Coefficient Of Alcohols By Means Of Optimization Of Correlation Weights Of Local Graph Invariants. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 92. 29–42. 1 indexed citations
15.
Fernández, Facundo M., Eduardo A. Castro, & Pablo R. Duchowicz. (2004). Los descriptores ortogonales en la teoría QSAR-QSPR. Afinidad. 61(514). 476–495. 1 indexed citations
16.
Duchowicz, Pablo R., Eduardo A. Castro, & Andrey A. Toropov. (2002). Qspr Modeling of Normal Boiling Point of Aldehydes, Ketones and Esters by Means of Nearest Neighboring Codes Correlation Weighting. SSRN Electronic Journal. 2 indexed citations
17.
Duchowicz, Pablo R., Eduardo A. Castro, Francisco M. Fernández, & А. Н. Панкратов. (2002). QSPR Evaluation of thermodynamic properties of acyclic and aromatic compounds. SSRN Electronic Journal. 94. 31–45. 2 indexed citations
18.
Duchowicz, Pablo R., et al.. (2002). Maximum Topological Distances Based Indices as Molecular Descriptors for Qspr. V-Modeling the Free Energy of Hydrocarbons. SSRN Electronic Journal. 42(6). 1354–1359. 1 indexed citations
19.
Duchowicz, Pablo R. & Eduardo A. Castro. (2000). Improved QSPR Prediction of Heats of Formation of Alkenes. Journal of the Korean Chemical Society. 44(6). 501–506. 5 indexed citations
20.
Duchowicz, Pablo R. & Eduardo A. Castro. (1999). Hydrocarbon Enthalpies of Formation from ab initio Calculations Improved Through Bond Parameters. Journal of the Korean Chemical Society. 43(6). 621–627. 7 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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