J. L. Paz

1.2k total citations
126 papers, 840 citations indexed

About

J. L. Paz is a scholar working on Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Spectroscopy. According to data from OpenAlex, J. L. Paz has authored 126 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Atomic and Molecular Physics, and Optics, 28 papers in Physical and Theoretical Chemistry and 23 papers in Spectroscopy. Recurrent topics in J. L. Paz's work include Spectroscopy and Quantum Chemical Studies (51 papers), Quantum optics and atomic interactions (28 papers) and Photochemistry and Electron Transfer Studies (20 papers). J. L. Paz is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (51 papers), Quantum optics and atomic interactions (28 papers) and Photochemistry and Electron Transfer Studies (20 papers). J. L. Paz collaborates with scholars based in Venezuela, Ecuador and Peru. J. L. Paz's co-authors include Patricio J. Espinoza‐Montero, Lenys Fernández, Paulina Alulema-Pullupaxi, A. J. Hernández, Ronald Vargas, Juan M. Peralta‐Hernández, Pla N, J. Récamier, Rafael Almeida and José R. Mora and has published in prestigious journals such as The Journal of Physical Chemistry B, Scientific Reports and Chemosphere.

In The Last Decade

J. L. Paz

114 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. L. Paz Venezuela 14 426 127 126 115 109 126 840
Christine A. Schwerdtfeger United States 13 297 0.7× 67 0.5× 89 0.7× 138 1.2× 118 1.1× 17 749
Beatriz Miguel Spain 18 555 1.3× 166 1.3× 23 0.2× 154 1.3× 120 1.1× 74 960
Javier González Spain 14 192 0.5× 143 1.1× 42 0.3× 55 0.5× 69 0.6× 30 650
Isabell Thomas Germany 19 329 0.8× 153 1.2× 62 0.5× 103 0.9× 99 0.9× 39 901
Ramón Alain Miranda‐Quintana United States 26 568 1.3× 133 1.0× 33 0.3× 307 2.7× 368 3.4× 88 1.5k
Mihai V. Putz Romania 23 279 0.7× 110 0.9× 64 0.5× 314 2.7× 516 4.7× 127 1.6k
Piotr Borowski Poland 20 408 1.0× 314 2.5× 18 0.1× 122 1.1× 338 3.1× 68 1.2k
Ana K. Chattah Argentina 19 176 0.4× 201 1.6× 12 0.1× 107 0.9× 290 2.7× 54 820
Pradip Kumar Mondal India 19 124 0.3× 77 0.6× 20 0.2× 180 1.6× 316 2.9× 83 954
Valter H. Carvalho‐Silva Brazil 16 133 0.3× 67 0.5× 39 0.3× 70 0.6× 180 1.7× 39 742

Countries citing papers authored by J. L. Paz

Since Specialization
Citations

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

Fields of papers citing papers by J. L. Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. L. Paz. 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 J. L. Paz. The network helps show where J. L. Paz may publish in the future.

Co-authorship network of co-authors of J. L. Paz

This figure shows the co-authorship network connecting the top 25 collaborators of J. L. Paz. A scholar is included among the top collaborators of J. L. Paz 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 J. L. Paz. J. L. Paz 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.
Márquez, Edgar, et al.. (2025). Structure-Based Identification of Natural Inhibitors Targeting the Gc Glycoprotein of Oropouche Virus: An In Silico Approach. International Journal of Molecular Sciences. 26(21). 10541–10541.
2.
Márquez, Edgar, José R. Mora, J. L. Paz, et al.. (2025). In Silico Identification of Potential Clovibactin-like Antibiotics Binding to Unique Cell Wall Precursors in Diverse Gram-Positive Bacterial Strains. International Journal of Molecular Sciences. 26(4). 1724–1724. 1 indexed citations
3.
Mora, José R., et al.. (2025). Discovering New Tyrosinase Inhibitors by Using In Silico Modelling, Molecular Docking, and Molecular Dynamics. Pharmaceuticals. 18(3). 418–418. 3 indexed citations
4.
5.
Márquez, Edgar, José R. Mora, J. L. Paz, et al.. (2024). Molecular Modeling of Vasodilatory Activity: Unveiling Novel Candidates Through Density Functional Theory, QSAR, and Molecular Dynamics. International Journal of Molecular Sciences. 25(23). 12649–12649. 2 indexed citations
6.
Insuasty, Daniel, Jorge Trilleras, José R. Mora, et al.. (2024). Synthesis, Photophysical Properties, Theoretical Studies, and Living Cancer Cell Imaging Applications of New 7-(Diethylamino)quinolone Chalcones. ACS Omega. 9(17). 18786–18800. 2 indexed citations
7.
8.
Mora, José R., et al.. (2023). ElectroPredictor: An Application to Predict Mayr’s Electrophilicity E through Implementation of an Ensemble Model Based on Machine Learning Algorithms. Journal of Chemical Information and Modeling. 63(2). 507–521. 14 indexed citations
9.
Paz, J. L., et al.. (2023). Intrinsic Dynamics of the ClpXP Proteolytic Machine Using Elastic Network Models. ACS Omega. 8(8). 7302–7318. 3 indexed citations
10.
Martı́nez, Gema, et al.. (2023). Comparative Analysis of CRISPR-Cas Systems in Pseudomonas Genomes. Genes. 14(7). 1337–1337. 9 indexed citations
11.
Cabrera, N., José R. Mora, J. L. Paz, et al.. (2022). Searching glycolate oxidase inhibitors based on QSAR, molecular docking, and molecular dynamic simulation approaches. Scientific Reports. 12(1). 19969–19969. 8 indexed citations
12.
Paz, J. L., F. Javier Torres, Edgar Márquez, et al.. (2022). A kinetic model for the equilibrium dynamics of absorption and scattering processes in four-wave mixing spectroscopy. AIP Advances. 12(6). 1 indexed citations
13.
Paz, J. L., et al.. (2021). Solvent randomness and intramolecular considerations of optical responses in four-wave mixing. Journal of Modern Optics. 68(20). 1083–1093. 1 indexed citations
14.
Romero, Freddy, et al.. (2020). A Bioinformatics Study of Structural Perturbation of 3CL-Protease and the HR2-Domain of SARS-CoV-2 Induced by Synergistic Interaction with Ivermectins. Biointerface Research in Applied Chemistry. 11(2). 9813–9826. 9 indexed citations
15.
Parra, M., et al.. (2020). Biological Significance of the Thermodynamic Stability of CRISPR Structures Associated with Unconventional Functions. Biointerface Research in Applied Chemistry. 11(3). 10381–10392. 1 indexed citations
16.
Parra, M., et al.. (2020). Comparative Analysis of CRISPR-Cas Systems in Vibrio and Photobacterium Genomes of High Influence in Aquaculture Production. Biointerface Research in Applied Chemistry. 11(2). 9513–9529. 4 indexed citations
17.
Alvarado, Ysaías J., et al.. (2020). Conformational Change of Ovalbumin Induced by Surface Cavity Binding of N-Phthaloyl Gamma-Aminobutyric Acid Derivative: a Study Theoretical and Experimental. Biointerface Research in Applied Chemistry. 11(2). 9566–9586. 1 indexed citations
18.
Paz, J. L., et al.. (2020). Study of the nonlinear optical responses in the Four-wave mixing signal in saturation regimen of a two-level system with intramolecular coupling. Journal of Modern Optics. 67(11). 1031–1039. 2 indexed citations
19.
Rodríguez, Luis G., et al.. (2015). Método de lente térmica resuelta en frecuencia para medir coeficientes de difusión térmica en muestras líquidas. Revista Mexicana de Física. 61(4). 301–306. 1 indexed citations
20.
N, Pla, et al.. (2012). Multi-point quasi-rational approximants for the energy eigenvalues of two-power potentials. Revista Mexicana de Física. 58(4). 301–307. 4 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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