António J. Preto

714 total citations · 1 hit paper
24 papers, 424 citations indexed

About

António J. Preto is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, António J. Preto has authored 24 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in António J. Preto's work include Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (7 papers) and Protein Structure and Dynamics (5 papers). António J. Preto is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (7 papers) and Protein Structure and Dynamics (5 papers). António J. Preto collaborates with scholars based in Portugal, Netherlands and United States. António J. Preto's co-authors include Irina S. Moreira, José Guilherme de Almeida, Rita Melo, Panagiotis I. Koukos, Alexandre M. J. J. Bonvin, Joana Mourão, Rui M. M. Brito, Zeynep H. Gümüş, Ana Teresa Gaspar and Mikaël Trellet and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

António J. Preto

23 papers receiving 414 citations

Hit Papers

Multi-omics data integrat... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
António J. Preto Portugal 12 290 114 53 43 42 24 424
Paul Zuck United States 15 316 1.1× 111 1.0× 34 0.6× 56 1.3× 24 0.6× 30 523
Amanda Wakefield United States 10 359 1.2× 160 1.4× 25 0.5× 38 0.9× 27 0.6× 18 461
Mike Wood United Kingdom 7 556 1.9× 80 0.7× 41 0.8× 21 0.5× 90 2.1× 11 682
Stephen Boulton Canada 17 539 1.9× 94 0.8× 24 0.5× 74 1.7× 32 0.8× 29 706
Yuichiro Hourai Japan 5 439 1.5× 93 0.8× 24 0.5× 21 0.5× 59 1.4× 6 570
Joerg Bomke Germany 6 365 1.3× 127 1.1× 21 0.4× 11 0.3× 44 1.0× 8 496
Guillaume Brysbaert France 14 480 1.7× 137 1.2× 30 0.6× 18 0.4× 101 2.4× 36 715
Guang Qiang Dong Canada 7 304 1.0× 62 0.5× 22 0.4× 14 0.3× 33 0.8× 9 411
Giacomo Janson Italy 11 394 1.4× 66 0.6× 18 0.3× 19 0.4× 36 0.9× 18 566
Samuel DeLuca United States 6 458 1.6× 76 0.7× 22 0.4× 41 1.0× 47 1.1× 8 632

Countries citing papers authored by António J. Preto

Since Specialization
Citations

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

Fields of papers citing papers by António J. Preto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of António J. Preto

This figure shows the co-authorship network connecting the top 25 collaborators of António J. Preto. A scholar is included among the top collaborators of António J. Preto 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 António J. Preto. António J. Preto 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.
Preto, António J., Shaurya Chanana, Daniel Ence, et al.. (2025). Multi-omics data integration identifies novel biomarkers and patient subgroups in inflammatory bowel disease. Journal of Crohn s and Colitis. 19(1). 13 indexed citations breakdown →
2.
Preto, António J., Francisco Duarte-Martínez, Hugo Fernandes, et al.. (2024). POSEIDON: Peptidic Objects SEquence-based Interaction with cellular DOmaiNs: a new database and predictor. Journal of Cheminformatics. 16(1). 18–18. 4 indexed citations
3.
Preto, António J., et al.. (2024). Evaluating the generalizability of graph neural networks for predicting collision cross section. Journal of Cheminformatics. 16(1). 105–105. 1 indexed citations
4.
Domingo‐Fernándéz, Daniel, et al.. (2024). Natural Products Have Increased Rates of Clinical Trial Success throughout the Drug Development Process. Journal of Natural Products. 87(7). 1844–1851. 31 indexed citations
5.
Gaspar, Ana Teresa, et al.. (2024). Advancing Drug Safety in Drug Development: Bridging Computational Predictions for Enhanced Toxicity Prediction. Chemical Research in Toxicology. 37(6). 827–849. 35 indexed citations
7.
Preto, António J., et al.. (2022). From single-omics to interactomics: How can ligand-induced perturbations modulate single-cell phenotypes?. Advances in protein chemistry and structural biology. 131. 45–83. 2 indexed citations
8.
Preto, António J., et al.. (2022). MUG: A mutation overview of GPCR subfamily A17 receptors. Computational and Structural Biotechnology Journal. 21. 586–600. 2 indexed citations
9.
Preto, António J., et al.. (2022). DrugTax: package for drug taxonomy identification and explainable feature extraction. Journal of Cheminformatics. 14(1). 73–73. 7 indexed citations
10.
Preto, António J., et al.. (2021). Decoding Partner Specificity of Opioid Receptor Family. Frontiers in Molecular Biosciences. 8. 715215–715215. 5 indexed citations
11.
Preto, António J., et al.. (2020). Prediction and targeting of GPCR oligomer interfaces. Progress in molecular biology and translational science. 169. 105–149. 15 indexed citations
12.
Preto, António J., et al.. (2020). Predicting Hot Spots Using a Deep Neural Network Approach. Methods in molecular biology. 2190. 267–288. 2 indexed citations
13.
Preto, António J., et al.. (2020). The Central Role of Non-Structural Protein 1 (NS1) in Influenza Biology and Infection. International Journal of Molecular Sciences. 21(4). 1511–1511. 50 indexed citations
14.
Preto, António J. & Irina S. Moreira. (2020). SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features. International Journal of Molecular Sciences. 21(19). 7281–7281. 12 indexed citations
15.
Preto, António J., et al.. (2019). Structural Characterization of Membrane Protein Dimers. Methods in molecular biology. 1958. 403–436. 2 indexed citations
16.
Preto, António J., et al.. (2019). A Complete Assessment of Dopamine Receptor- Ligand Interactions through Computational Methods. Molecules. 24(7). 1196–1196. 25 indexed citations
17.
Lemos, Agostinho, Rita Melo, António J. Preto, et al.. (2018). In Silico Studies Targeting G-protein Coupled Receptors for Drug Research Against Parkinson’s Disease. Current Neuropharmacology. 16(6). 786–848. 15 indexed citations
18.
Moreira, Irina S., Panagiotis I. Koukos, Rita Melo, et al.. (2017). SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots. Scientific Reports. 7(1). 8007–8007. 61 indexed citations
20.
Almeida, José Guilherme de, António J. Preto, Panagiotis I. Koukos, Alexandre M. J. J. Bonvin, & Irina S. Moreira. (2017). Membrane proteins structures: A review on computational modeling tools. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(10). 2021–2039. 78 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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