Riccardo Concu

689 total citations
28 papers, 519 citations indexed

About

Riccardo Concu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Riccardo Concu has authored 28 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 5 papers in Spectroscopy. Recurrent topics in Riccardo Concu's work include Computational Drug Discovery Methods (10 papers), Machine Learning in Bioinformatics (7 papers) and Protein Structure and Dynamics (5 papers). Riccardo Concu is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Machine Learning in Bioinformatics (7 papers) and Protein Structure and Dynamics (5 papers). Riccardo Concu collaborates with scholars based in Portugal, Spain and Brazil. Riccardo Concu's co-authors include M. Natália D. S. Cordeiro, Humberto González‐Díaz, Gianni Podda, Valeria V. Kleandrova, Alejandro Speck‐Planche, Florencio M. Ubeira, Eugenio Uriarte, Francisco Prado-Prado, Lázaro G. Pérez‐Montoto and Cristian R. Munteanu and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Journal of Computational Chemistry.

In The Last Decade

Riccardo Concu

28 papers receiving 510 citations

Peers

Countries citing papers authored by Riccardo Concu

Since Specialization

Citations

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

Fields of papers citing papers by Riccardo Concu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riccardo Concu. 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 Riccardo Concu. The network helps show where Riccardo Concu may publish in the future.

Co-authorship network of co-authors of Riccardo Concu

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Concu. A scholar is included among the top collaborators of Riccardo Concu 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 Riccardo Concu. Riccardo Concu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	MOZART, a QSAR Multi-Target Web-Based Tool to Predict Multiple Drug–Enzyme Interactions 2023 ·Molecules ·Riccardo Concu, M. Natália D. S. Cordeiro, Martín Pérez‐Pérez, Florentino Fdez‐Riverola	1
2	New Mechanistic Insights on Carbon Nanotubes’ Nanotoxicity Using Isolated Submitochondrial Particles, Molecular Docking, and Nano-QSTR Approaches 2021 ·Biology ·Michael González‐Durruthy, Riccardo Concu, Juan M. Ruso, M. Natália D. S. Cordeiro	5
3	Computational Biology: A New Frontier in Applied Biology 2021 ·Biology ·Milan Toma, Riccardo Concu	1
4	Developing a Multi-target Model to Predict the Activity of Monoamine Oxidase A and B Drugs 2020 ·Current Topics in Medicinal Chemistry ·Riccardo Concu, Michael González‐Durruthy, M. Natália D. S. Cordeiro	6
5	PTML Model of Enzyme Subclasses for Mining the Proteome of Biofuel Producing Microorganisms 2019 ·Journal of Proteome Research ·Riccardo Concu, M. Natália D. S. Cordeiro, Cristian R. Munteanu, Humberto González‐Díaz	31
6	Cetuximab and the Head and Neck Squamous Cell Cancer 2018 ·Current Topics in Medicinal Chemistry ·Riccardo Concu, M. Natália D. S. Cordeiro	28
7	Looking for New Inhibitors for the Epidermal Growth Factor Receptor 2018 ·Current Topics in Medicinal Chemistry ·Riccardo Concu, M. Natália D. S. Cordeiro	12
8	Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory 2017 ·Nanotoxicology ·Riccardo Concu, Valeria V. Kleandrova, Alejandro Speck‐Planche, M. Natália D. S. Cordeiro	93
9	Molecular Dynamics Simulation Study of the Selectivity of a Silica Polymer for Ibuprofen 2016 ·International Journal of Molecular Sciences ·Riccardo Concu, M. Natália D. S. Cordeiro	6
10	Molecularly Imprinted Sol-Gel Materials for Medical Applications 2015 ·Current Topics in Medicinal Chemistry ·Riccardo Concu, Mariana Ornelas, Manuel Azenha	5
11	Measurement artifacts identified in the UV–vis spectroscopic study of adduct formation within the context of molecular imprinting of naproxen 2015 ·Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ·Martı́n Pérez-Rodrı́guez, Riccardo Concu, Mariana Ornelas, M. Natália D. S. Cordeiro, Manuel Azenha, Fernando Silva	17
12	Review of Stochastic Stability and Analysis Tumor-Immune Systems 2013 ·Current Bioinformatics ·(unknown), (unknown), Riccardo Concu	5
13	From QSAR models of Drugs to Complex Networks: State-of-Art Review and Introduction of New Markov-Spectral Moments Indices 2012 ·Current Topics in Medicinal Chemistry ·(unknown), (unknown), Francisco Prado-Prado, Manuel Escobar, Cristian R. Munteanu, Riccardo Concu, Aliuska Duardo-Sánchez, Humberto González‐Díaz	28
14	Generalized String Pseudo-Folding Lattices in Bioinformatics: State-of-Art Review, New Model for Enzyme Sub-Classes, and Study of ESTs on Trichinella spiralis 2012 ·Current Bioinformatics ·Humberto González‐Díaz, Riccardo Concu, Lázaro G. Pérez‐Montoto, Florencio M. Ubeira, Fernanda Romarı́s, Esperanza Paniagua, Aliuska Duardo-Sánchez, Francisco Prado-Prado	1
15	Review of Computer-Aided Models for Predicting Collagen Stability 2011 ·Current Computer - Aided Drug Design ·Riccardo Concu, Gianni Podda, Humberto González‐Díaz, Bairong Shen	2
16	Review of QSAR Models for Enzyme Classes of Drug Targets: Theoretical Background and Applications in Parasites, Hosts and Other Organisms 2010 ·Current Pharmaceutical Design ·Riccardo Concu, Gianni Podda, Florencio M. Ubeira, Humberto González‐Díaz	23
17	Review of MARCH-INSIDE & Complex Networks Prediction of Drugs: ADMET, Anti-parasite Activity, Metabolizing Enzymes and Cardiotoxicity Proteome Biomarkers 2010 ·Current Drug Metabolism ·Humberto González‐Díaz, Aliuska Duardo-Sánchez, Florencio M. Ubeira, Francisco Prado-Prado, Lázaro G. Pérez‐Montoto, Riccardo Concu, Gianni Podda, Bairong Shen	44
18	3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites 2009 ·Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics ·Riccardo Concu, María Auxiliadora Dea‐Ayuela, Lázaro G. Pérez‐Montoto, Francisco Prado-Prado, Eugenio Uriarte, F. Bolás‐Fernández, Gianni Podda, Alejandro Pazos, Cristian R. Munteanu, Florencio M. Ubeira, Humberto González‐Díaz	46
19	Prediction of Enzyme Classes from 3D Structure: A General Model and Examples of Experimental-Theoretic Scoring of Peptide Mass Fingerprints of Leishmania Proteins 2009 ·Journal of Proteome Research ·Riccardo Concu, María Auxiliadora Dea‐Ayuela, Lázaro G. Pérez‐Montoto, F. Bolás‐Fernández, Francisco Prado-Prado, Gianni Podda, Eugenio Uriarte, Florencio M. Ubeira, Humberto González‐Díaz	61
20	Computational chemistry study of 3D‐structure‐function relationships for enzymes based on Markov models for protein electrostatic, HINT, and van der Waals potentials 2008 ·Journal of Computational Chemistry ·Riccardo Concu, Gianni Podda, Eugenio Uriarte, Humberto González‐Díaz	36

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.

Explore authors with similar magnitude of impact