Alejandro Varela‐Rial

504 total citations
8 papers, 183 citations indexed

About

Alejandro Varela‐Rial is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Alejandro Varela‐Rial has authored 8 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Alejandro Varela‐Rial's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (4 papers). Alejandro Varela‐Rial is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (4 papers). Alejandro Varela‐Rial collaborates with scholars based in Spain, Germany and Bulgaria. Alejandro Varela‐Rial's co-authors include Gianni De Fabritiis, Maciej Majewski, José Jiménez-Luna, Gerard Martínez-Rosell, Miha Škalič, Stefan Doerr, Thomas E. Markland, John D. Chodera, Raimondas Galvelis and Peter Eastman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and eLife.

In The Last Decade

Alejandro Varela‐Rial

8 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Varela‐Rial Spain 6 114 109 76 14 11 8 183
Francesco Trozzi United States 9 147 1.3× 111 1.0× 80 1.1× 14 1.0× 5 0.5× 12 242
Jintu Zhang China 9 181 1.6× 160 1.5× 77 1.0× 16 1.1× 8 0.7× 15 271
Lieyang Chen United States 6 177 1.6× 168 1.5× 90 1.2× 18 1.3× 11 1.0× 6 242
Kristy A. Carpenter United States 7 199 1.7× 172 1.6× 59 0.8× 19 1.4× 7 0.6× 13 349
Ada Sedova United States 8 105 0.9× 67 0.6× 44 0.6× 13 0.9× 6 0.5× 26 196
Navneet Bung India 10 203 1.8× 154 1.4× 81 1.1× 23 1.6× 4 0.4× 19 323
Maryse Lowinski United States 4 202 1.8× 85 0.8× 50 0.7× 16 1.1× 14 1.3× 4 271
Keisuke Yanagisawa Japan 11 176 1.5× 71 0.7× 20 0.3× 19 1.4× 6 0.5× 20 219
Hao Ruan China 6 144 1.3× 42 0.4× 51 0.7× 7 0.5× 16 1.5× 9 234
Steven A. Combs United States 7 244 2.1× 85 0.8× 69 0.9× 17 1.2× 3 0.3× 11 327

Countries citing papers authored by Alejandro Varela‐Rial

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Varela‐Rial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Varela‐Rial. 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 Alejandro Varela‐Rial. The network helps show where Alejandro Varela‐Rial may publish in the future.

Co-authorship network of co-authors of Alejandro Varela‐Rial

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

All Works

8 of 8 papers shown
1.
Janowski, Robert, Hyun-Seo Kang, Thomas Monecke, et al.. (2024). PURA syndrome-causing mutations impair PUR-domain integrity and affect P-body association. eLife. 13. 4 indexed citations
2.
Janowski, Robert, Hyun-Seo Kang, Thomas Monecke, et al.. (2024). PURA syndrome-causing mutations impair PUR-domain integrity and affect P-body association. eLife. 13. 5 indexed citations
3.
Galvelis, Raimondas, Alejandro Varela‐Rial, Stefan Doerr, et al.. (2023). NNP/MM: Accelerating Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics. Journal of Chemical Information and Modeling. 63(18). 5701–5708. 49 indexed citations
4.
Majewski, Maciej, et al.. (2023). Machine learning small molecule properties in drug discovery. SHILAP Revista de lepidopterología. 1(2). 100020–100020. 15 indexed citations
5.
Varela‐Rial, Alejandro, et al.. (2022). PlayMolecule Glimpse: Understanding Protein–Ligand Property Predictions with Interpretable Neural Networks. Journal of Chemical Information and Modeling. 62(2). 225–231. 13 indexed citations
6.
Varela‐Rial, Alejandro, Maciej Majewski, & Gianni De Fabritiis. (2021). Structure based virtual screening: Fast and slow. Wiley Interdisciplinary Reviews Computational Molecular Science. 12(2). 39 indexed citations
7.
Škalič, Miha, Alejandro Varela‐Rial, José Jiménez-Luna, Gerard Martínez-Rosell, & Gianni De Fabritiis. (2018). LigVoxel: inpainting binding pockets using 3D-convolutional neural networks. Bioinformatics. 35(2). 243–250. 46 indexed citations
8.
Ramírez‐Anguita, Juan Manuel, Ismael Rodríguez‐Espigares, Ramón Guixà-González, et al.. (2017). Membrane cholesterol effect on the 5‐HT2A receptor: Insights into the lipid‐induced modulation of an antipsychotic drug target. Biotechnology and Applied Biochemistry. 65(1). 29–37. 12 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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Breakdown of academic impact, for papers by Francesco Trozzi Breakdown of academic impact, for papers by Jintu Zhang Breakdown of academic impact, for papers by Lieyang Chen Breakdown of academic impact, for papers by Kristy A. Carpenter Breakdown of academic impact, for papers by Ada Sedova Breakdown of academic impact, for papers by Navneet Bung Breakdown of academic impact, for papers by Maryse Lowinski Breakdown of academic impact, for papers by Keisuke Yanagisawa Breakdown of academic impact, for papers by Hao Ruan Breakdown of academic impact, for papers by Steven A. Combs
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2026