Gerard Martínez-Rosell

2.5k total citations · 2 hit papers
13 papers, 1.7k citations indexed

About

Gerard Martínez-Rosell is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Gerard Martínez-Rosell has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 8 papers in Materials Chemistry. Recurrent topics in Gerard Martínez-Rosell's work include Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (9 papers) and Machine Learning in Materials Science (5 papers). Gerard Martínez-Rosell is often cited by papers focused on Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (9 papers) and Machine Learning in Materials Science (5 papers). Gerard Martínez-Rosell collaborates with scholars based in Spain, United States and Italy. Gerard Martínez-Rosell's co-authors include Gianni De Fabritiis, José Jiménez-Luna, Miha Škalič, Stefan Doerr, Alexander Rose, Toni Giorgino, M J Harvey, Adrià Pérez, Alejandro Varela‐Rial and Marta Filizola and has published in prestigious journals such as Bioinformatics, Scientific Reports and Chemical Science.

In The Last Decade

Gerard Martínez-Rosell

13 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

K_DEEP: Protein–Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks

2018 637 citations José Jiménez-Luna, Miha Škalič et al. Journal of Chemical Information and Modeling profile →
DeepSite: protein-binding site predictor using 3D-convolutional neural networks

2017 500 citations José Jiménez-Luna, Stefan Doerr et al. Bioinformatics profile →

Peers

Countries citing papers authored by Gerard Martínez-Rosell

Since Specialization

Citations

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

Fields of papers citing papers by Gerard Martínez-Rosell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard Martínez-Rosell. 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 Gerard Martínez-Rosell. The network helps show where Gerard Martínez-Rosell may publish in the future.

Co-authorship network of co-authors of Gerard Martínez-Rosell

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	PlayMolecule CrypticScout: Predicting Protein Cryptic Sites Using Mixed-Solvent Molecular Simulations 2020 ·Journal of Chemical Information and Modeling ·Gerard Martínez-Rosell, Silvia Lovera, Zara A. Sands, Gianni De Fabritiis	23
2	DeltaDelta neural networks for lead optimization of small molecule potency 2019 ·Chemical Science ·José Jiménez-Luna, Laura Pérez‐Benito, Gerard Martínez-Rosell, Simone Sciabola, Rubben Torella, Gary Tresadern, Gianni De Fabritiis	48
3	Simulations meet machine learning in structural biology 2018 ·Current Opinion in Structural Biology ·Adrià Pérez, Gerard Martínez-Rosell, Gianni De Fabritiis	29
4	PathwayMap: Molecular Pathway Association with Self-Normalizing Neural Networks 2018 ·Journal of Chemical Information and Modeling ·José Jiménez-Luna, Davide Sabbadin, Alberto Cuzzolin, Gerard Martínez-Rosell, (unknown), John I. Manchester, José S. Duca, Gianni De Fabritiis	25
5	LigVoxel: inpainting binding pockets using 3D-convolutional neural networks 2018 ·Bioinformatics ·Miha Škalič, Alejandro Varela‐Rial, José Jiménez-Luna, Gerard Martínez-Rosell, Gianni De Fabritiis	46
6	Molecular-Simulation-Driven Fragment Screening for the Discovery of New CXCL12 Inhibitors 2018 ·Journal of Chemical Information and Modeling ·Gerard Martínez-Rosell, M J Harvey, Gianni De Fabritiis	18
7	K_DEEP: Protein–Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks breakdown → 2018 ·Journal of Chemical Information and Modeling ·José Jiménez-Luna, Miha Škalič, Gerard Martínez-Rosell, Gianni De Fabritiis	637
8	PlayMolecule BindScope: large scale CNN-based virtual screening on the web 2018 ·Bioinformatics ·Miha Škalič, Gerard Martínez-Rosell, José Jiménez-Luna, Gianni De Fabritiis	42
9	Dynamic and Kinetic Elements of µ-Opioid Receptor Functional Selectivity 2017 ·Scientific Reports ·Abhijeet Kapoor, Gerard Martínez-Rosell, Davide Provasi, Gianni De Fabritiis, Marta Filizola	39
10	PlayMolecule ProteinPrepare: A Web Application for Protein Preparation for Molecular Dynamics Simulations 2017 ·Journal of Chemical Information and Modeling ·Gerard Martínez-Rosell, Toni Giorgino, Gianni De Fabritiis	225
11	DeepSite: protein-binding site predictor using 3D-convolutional neural networks breakdown → 2017 ·Bioinformatics ·José Jiménez-Luna, Stefan Doerr, Gerard Martínez-Rosell, Alexander Rose, Gianni De Fabritiis	500
12	High-Throughput Automated Preparation and Simulation of Membrane Proteins with HTMD 2017 ·Journal of Chemical Theory and Computation ·Stefan Doerr, Toni Giorgino, Gerard Martínez-Rosell, João M. Damas, Gianni De Fabritiis	23
13	Drug Discovery and Molecular Dynamics: Methods, Applications and Perspective Beyond the Second Timescale 2017 ·Current Topics in Medicinal Chemistry ·Gerard Martínez-Rosell, Toni Giorgino, M J Harvey, Gianni De Fabritiis	29

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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