J. A. Muñoz

1.2k total citations
33 papers, 795 citations indexed

About

J. A. Muñoz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, J. A. Muñoz has authored 33 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 9 papers in Spectroscopy. Recurrent topics in J. A. Muñoz's work include Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (7 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). J. A. Muñoz is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (7 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). J. A. Muñoz collaborates with scholars based in Spain, United Kingdom and Italy. J. A. Muñoz's co-authors include F. Javier Luque, Modesto Orozco, Abraham Loeb, Jiřı́ Šponer, Gordon J. Dear, Pavel Hobza, Claire Beaumont, E. Mediavilla, Josep Lluís Gelpí and R. Gil‐Merino and has published in prestigious journals such as PLoS ONE, The Astrophysical Journal and Analytical Chemistry.

In The Last Decade

J. A. Muñoz

33 papers receiving 787 citations

Peers

J. A. Muñoz
Gu Yuan China
Rui Sun United States
Ryszard Czermiński United States
Jennifer S. Hirschi United States
Adeel Jamal United States
Kerstin Zawatzky United States
Gu Yuan China
J. A. Muñoz
Citations per year, relative to J. A. Muñoz J. A. Muñoz (= 1×) peers Gu Yuan

Countries citing papers authored by J. A. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Muñoz. A scholar is included among the top collaborators of J. A. Muñoz 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. A. Muñoz. J. A. Muñoz 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.
Muñoz, J. A.. (2023). Hot plastic behavior of an ultrafine-grained aluminum alloy fabricated by laser powder bed fusion and equal channel angular pressing. Materials research proceedings. 32. 330–337. 1 indexed citations
2.
Han, Namshik, et al.. (2022). Deriving time-concordant event cascades from gene expression data: A case study for Drug-Induced Liver Injury (DILI). PLoS Computational Biology. 18(6). e1010148–e1010148. 4 indexed citations
3.
Muñoz, J. A.. (2021). Large scale meta-analysis of preclinical toxicity data for target characterisation and hypotheses generation. PLoS ONE. 16(6). e0252533–e0252533. 3 indexed citations
4.
Ginex, Tiziana, J. A. Muñoz, Enric Herrero, et al.. (2016). Application of the quantum mechanical IEF/PCM-MST hydrophobic descriptors to selectivity in ligand binding. Journal of Molecular Modeling. 22(6). 136–136. 4 indexed citations
5.
Hewitt, Mark, Claire M. Ellison, M Cronin, et al.. (2015). Ensuring confidence in predictions: A scheme to assess the scientific validity of in silico models. Advanced Drug Delivery Reviews. 86. 101–111. 12 indexed citations
6.
Beattie, Kylie A., Chris Luscombe, J. A. Muñoz, et al.. (2013). Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge. Journal of Pharmacological and Toxicological Methods. 68(1). 88–96. 51 indexed citations
7.
Hutchinson, Sue, Melanie Leveridge, Peter Francis, et al.. (2011). Enabling Lead Discovery for Histone Lysine Demethylases by High-Throughput RapidFire Mass Spectrometry. SLAS DISCOVERY. 17(1). 39–48. 72 indexed citations
8.
Martin, Richard L., Eleanor J. Gardiner, Valerie J. Gillet, J. A. Muñoz, & Stefan Senger. (2010). Wavelet Approximation of GRID Fields: Application to Quantitative Structure‐Activity Relationships. Molecular Informatics. 29(8-9). 603–620. 3 indexed citations
9.
Dear, Gordon J., J. A. Muñoz, Claire Beaumont, et al.. (2010). Sites of metabolic substitution: investigating metabolite structures utilising ion mobility and molecular modelling. Rapid Communications in Mass Spectrometry. 24(21). 3157–3162. 57 indexed citations
10.
Muñoz, J. A., Xavier Barril, José M. López, Modesto Orozco, & F. Javier Luque. (2006). A hydrophobic similarity analysis of solvation effects on nucleic acid bases. Journal of Molecular Modeling. 13(2). 357–365. 8 indexed citations
11.
Camps, Pelayo, Elena Gómez, Diego Muñoz‐Torrero, et al.. (2006). Binding of 13-Amidohuprines to Acetylcholinesterase:  Exploring the Ligand-Induced Conformational Change of the Gly117-Gly118 Peptide Bond in the Oxyanion Hole. Journal of Medicinal Chemistry. 49(23). 6833–6840. 15 indexed citations
12.
Muñoz, J. A., et al.. (2005). Hydrophobic Molecular Similarity from MST Fractional Contributions to the Octanol/water Partition Coefficient. Journal of Computer-Aided Molecular Design. 19(6). 401–419. 8 indexed citations
14.
Muñoz, J. A., José López López, Modesto Orozco, & F. Javier Luque. (2004). Molecular Modelling Approaches to the Design of Acetylcholinesterase Inhibitors: New Challenges for the Treatment of Alzheimers Disease. Current Pharmaceutical Design. 10(25). 3131–3140. 25 indexed citations
15.
Martín‐Santamaría, Sonsoles, J. A. Muñoz, F. Javier Luque, & Federico Gago. (2004). Modulation of Binding Strength in Several Classes of Active Site Inhibitors of Acetylcholinesterase Studied by Comparative Binding Energy Analysis. Journal of Medicinal Chemistry. 47(18). 4471–4482. 11 indexed citations
16.
Campanera, Josep M., J. A. Muñoz, Jordi Vázquez, Carles Bó, & Josep M. Poblet. (2004). Organometallic Derivatives of Fullerenes:  A DFT Study of (η2-Cx){Pt(PH3)2}n (x = 60, 70, 84; n = 1−6). Inorganic Chemistry. 43(21). 6815–6821. 8 indexed citations
17.
Muñoz, J. A., et al.. (2002). Hydrophobic similarity between molecules: A MST‐based hydrophobic similarity index. Journal of Computational Chemistry. 23(5). 554–563. 16 indexed citations
18.
Muñoz, J. A., Josep Lluís Gelpí, Montserrat Soler‐López, et al.. (2002). Can Divalent Metal Cations Stabilize the Triplex Motif? Theoretical Study of the Interaction of the Hydrated Mg2+Cation with the G−G·C Triplet. The Journal of Physical Chemistry B. 106(34). 8849–8857. 20 indexed citations
19.
Muñoz, J. A., Marie‐Madeleine Rohmer, Marc Bénard, Carles Bó, & Josep M. Poblet. (1999). The Structure and Growth Mechanism of Small Titanium Carbide Clusters:  A Competition between C2and C4Carbon Chains. The Journal of Physical Chemistry A. 103(24). 4762–4768. 12 indexed citations
20.
Poblet, Josep M., J. A. Muñoz, Krzysztof Winkler, et al.. (1999). Geometric and electronic structure of metal-cage fullerenes, C59M (M = Pt, Ir) obtained by laser ablation of electrochemically deposited films. Chemical Communications. 493–494. 39 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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