Carlos Roca

748 total citations
16 papers, 537 citations indexed

About

Carlos Roca is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Carlos Roca has authored 16 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Carlos Roca's work include Computational Drug Discovery Methods (10 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Machine Learning in Materials Science (3 papers). Carlos Roca is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Machine Learning in Materials Science (3 papers). Carlos Roca collaborates with scholars based in Spain, Argentina and Brazil. Carlos Roca's co-authors include Nuria E. Campillo, Ana Martı́nez, Concepción Pérez, Víctor Sebastián-Pérez, Juan A. Páez, Ignacio Ponzoni, María Jimena Martínez, Fiorella Cravero, Mónica F. Díaz and Carmen Gil and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.

In The Last Decade

Carlos Roca

16 papers receiving 528 citations

Peers

Carlos Roca

CTM

PHARM

PHYSI

Nicola Gambacorta Italy

Gopichand Gutti India

Karina Cuanalo-Contreras United States

Pedro de Sena Murteira Pinheiro Brazil

Donatella Bagetta Italy

Wenwen Liu China

Hongzhi Lin China

Anna Pasieka Poland

Senthil Raja Ayyannan India

Lukáš Górecki Czechia

Nicola Gambacorta Italy

Carlos Roca

310 ×1.2

CTM

305 ×1.3

292 ×1.3

PHARM

301 ×2.0

40 ×0.6

PHYSI

Citations per year, relative to Carlos Roca Carlos Roca (= 1×) peers Nicola Gambacorta

Countries citing papers authored by Carlos Roca

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Roca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Roca

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

All Works

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16 of 16 papers shown

Gkeka, Paraskevi, Fredrik Svensson, Carlos Roca, Marcel J. de Groot, & Steven V. Jerome. (2025). Computational Hit Finding: An Industry Perspective. Journal of Medicinal Chemistry. 68(11). 10507–10519. 1 indexed citations

Martínez, María Jimena, Axel J. Soto, Carlos Roca, et al.. (2022). Multitask Deep Neural Networks for Ames Mutagenicity Prediction. Journal of Chemical Information and Modeling. 62(24). 6342–6351. 11 indexed citations

Roca, Carlos, et al.. (2021). AI in drug development: a multidisciplinary perspective. Molecular Diversity. 25(3). 1461–1479. 38 indexed citations

Roca, Carlos & Nuria E. Campillo. (2020). Glycogen synthase kinase 3 (GSK-3) inhibitors: a patent update (2016–2019). Expert Opinion on Therapeutic Patents. 30(11). 863–872. 31 indexed citations

Roca, Carlos, Concepción Pérez, Ana Martı́nez, et al.. (2019). From simple quinoxalines to potent oxazolo[5,4-f]quinoxaline inhibitors of glycogen-synthase kinase 3 (GSK3). Organic & Biomolecular Chemistry. 18(1). 154–162. 11 indexed citations

Pérez-Macías, Natalia, Concepción Pérez, Carlos Roca, et al.. (2019). Indazolylketones as new multitarget cannabinoid drugs. European Journal of Medicinal Chemistry. 166. 90–107. 17 indexed citations

Ponzoni, Ignacio, Víctor Sebastián-Pérez, María Jimena Martínez, et al.. (2019). QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease. Scientific Reports. 9(1). 9102–9102. 54 indexed citations

Andrade, Peterson de, Carlos Roca, Concepción Pérez, et al.. (2018). Highly potent and selective aryl-1,2,3-triazolyl benzylpiperidine inhibitors toward butyrylcholinesterase in Alzheimer's disease. Bioorganic & Medicinal Chemistry. 27(6). 931–943. 37 indexed citations

Roca, Carlos, Víctor Sebastián-Pérez, Loreto Martínez‐González, et al.. (2018). Chameleon-like behavior of indolylpiperidines in complex with cholinesterases targets: Potent butyrylcholinesterase inhibitors. European Journal of Medicinal Chemistry. 145. 431–444. 18 indexed citations

10.

Roca, Carlos, Víctor Sebastián-Pérez, Sony Malhotra, et al.. (2018). Identification of new allosteric sites and modulators of AChE through computational and experimental tools. Journal of Enzyme Inhibition and Medicinal Chemistry. 33(1). 1034–1047. 43 indexed citations

11.

Roca, Carlos, Loreto Martínez‐González, Lourdes Infantes, et al.. (2018). Deciphering the Inhibition of the Neuronal Calcium Sensor 1 and the Guanine Exchange Factor Ric8a with a Small Phenothiazine Molecule for the Rational Generation of Therapeutic Synapse Function Regulators. Journal of Medicinal Chemistry. 61(14). 5910–5921. 9 indexed citations

12.

Bartolini, Manuela, Daniele Tedesco, Loreto Martínez‐González, et al.. (2018). Tau-Centric Multitarget Approach for Alzheimer’s Disease: Development of First-in-Class Dual Glycogen Synthase Kinase 3β and Tau-Aggregation Inhibitors. Journal of Medicinal Chemistry. 61(17). 7640–7656. 87 indexed citations

13.

Roca, Carlos, Víctor Sebastián-Pérez, Natália Moreira, et al.. (2017). From dual binding site acetylcholinesterase inhibitors to allosteric modulators: A new avenue for disease-modifying drugs in Alzheimer's disease. European Journal of Medicinal Chemistry. 139. 773–791. 44 indexed citations

14.

Ponzoni, Ignacio, Víctor Sebastián-Pérez, Carlos Roca, et al.. (2017). Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery. Scientific Reports. 7(1). 2403–2403. 51 indexed citations

15.

Palomo, Valle, Daniel I. Pérez, Carlos Roca, et al.. (2017). Subtly Modulating Glycogen Synthase Kinase 3 β: Allosteric Inhibitor Development and Their Potential for the Treatment of Chronic Diseases. Journal of Medicinal Chemistry. 60(12). 4983–5001. 59 indexed citations

16.

Sebastián-Pérez, Víctor, Carlos Roca, Mahendra Awale, et al.. (2017). Medicinal and Biological Chemistry (MBC) Library: An Efficient Source of New Hits. Journal of Chemical Information and Modeling. 57(9). 2143–2151. 26 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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