Gabriele Orlando

1.4k total citations
25 papers, 619 citations indexed

About

Gabriele Orlando is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Gabriele Orlando has authored 25 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Materials Chemistry and 6 papers in Spectroscopy. Recurrent topics in Gabriele Orlando's work include Protein Structure and Dynamics (16 papers), Machine Learning in Bioinformatics (6 papers) and Enzyme Structure and Function (6 papers). Gabriele Orlando is often cited by papers focused on Protein Structure and Dynamics (16 papers), Machine Learning in Bioinformatics (6 papers) and Enzyme Structure and Function (6 papers). Gabriele Orlando collaborates with scholars based in Belgium, Italy and Switzerland. Gabriele Orlando's co-authors include Daniele Raimondi, Wim Vranken, Yves Moreau, Frédéric Rousseau, Joost Schymkowitz, Tom Lenaerts, Marianne Rooman, Andrea Gazzo, Francesco Tabaro and Nikolaos Louros and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Gabriele Orlando

24 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele Orlando Belgium 13 466 98 79 44 39 25 619
Daniele Raimondi Belgium 16 604 1.3× 169 1.7× 110 1.4× 69 1.6× 19 0.5× 41 802
Xiao Fan United States 13 677 1.5× 162 1.7× 148 1.9× 30 0.7× 28 0.7× 22 912
J. Bradley Holmes United States 10 519 1.1× 55 0.6× 74 0.9× 32 0.7× 14 0.4× 13 589
Peter Vanhee Spain 8 616 1.3× 87 0.9× 91 1.2× 104 2.4× 21 0.5× 10 710
David‐Paul Minde Netherlands 12 470 1.0× 47 0.5× 69 0.9× 17 0.4× 16 0.4× 16 587
W.R. Taylor United Kingdom 11 567 1.2× 72 0.7× 93 1.2× 40 0.9× 18 0.5× 19 671
Jörn M. Schmiedel Spain 11 737 1.6× 167 1.7× 30 0.4× 29 0.7× 25 0.6× 11 853
Preeti Joshi United States 9 609 1.3× 51 0.5× 47 0.6× 13 0.3× 33 0.8× 10 771
Hongjiu Zhang United States 12 311 0.7× 64 0.7× 59 0.7× 85 1.9× 7 0.2× 18 498
Claire D. McWhite United States 13 449 1.0× 57 0.6× 22 0.3× 29 0.7× 24 0.6× 18 686

Countries citing papers authored by Gabriele Orlando

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Orlando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Orlando

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Orlando. A scholar is included among the top collaborators of Gabriele Orlando 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 Gabriele Orlando. Gabriele Orlando 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.
Delgado, Javier, Damiano Cianferoni, Gabriele Orlando, et al.. (2025). FoldX force field revisited, an improved version. Bioinformatics. 41(2). 9 indexed citations
2.
Orlando, Gabriele, Luís Serrano, Joost Schymkowitz, & Frédéric Rousseau. (2024). Integrating physics in deep learning algorithms: a force field as a PyTorch module. Bioinformatics. 40(4). 4 indexed citations
3.
Raimondi, Daniele, et al.. (2024). Data-driven probabilistic definition of the low energy conformational states of protein residues. NAR Genomics and Bioinformatics. 6(3). lqae082–lqae082. 1 indexed citations
4.
Orlando, Gabriele, et al.. (2022). Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein Dynamics. Journal of Molecular Biology. 434(12). 167579–167579. 30 indexed citations
5.
Orlando, Gabriele, et al.. (2022). PyUUL provides an interface between biological structures and deep learning algorithms. Nature Communications. 13(1). 961–961. 12 indexed citations
6.
Raimondi, Daniele, Gabriele Orlando, Emiel Michiels, et al.. (2021). In silico prediction of in vitro protein liquid–liquid phase separation experiments outcomes with multi-head neural attention. Bioinformatics. 37(20). 3473–3479. 18 indexed citations
7.
Kagami, Luciano Porto, et al.. (2021). b2bTools: online predictions for protein biophysical features and their conservation. Nucleic Acids Research. 49(W1). W52–W59. 9 indexed citations
8.
Orlando, Gabriele, et al.. (2020). Role and therapeutic potential of liquid–liquid phase separation in amyotrophic lateral sclerosis. Journal of Molecular Cell Biology. 13(1). 15–28. 34 indexed citations
9.
Louros, Nikolaos, Gabriele Orlando, Matthias De Vleeschouwer, Frédéric Rousseau, & Joost Schymkowitz. (2020). Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities. Nature Communications. 11(1). 3314–3314. 64 indexed citations
10.
Raimondi, Daniele, Gabriele Orlando, Piero Fariselli, & Yves Moreau. (2020). Insight into the protein solubility driving forces with neural attention. PLoS Computational Biology. 16(4). e1007722–e1007722. 35 indexed citations
11.
Orlando, Gabriele, et al.. (2019). Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensates. Bioinformatics. 35(22). 4617–4623. 44 indexed citations
12.
Raimondi, Daniele, Gabriele Orlando, Wim Vranken, & Yves Moreau. (2019). Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis. Scientific Reports. 9(1). 16932–16932. 20 indexed citations
13.
Orlando, Gabriele, Daniele Raimondi, & Wim Vranken. (2019). Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index. Nature Communications. 10(1). 2511–2511. 6 indexed citations
14.
Raimondi, Daniele, Gabriele Orlando, Yves Moreau, & Wim Vranken. (2018). Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time Warping. Bioinformatics. 34(18). 3118–3125. 13 indexed citations
15.
Raimondi, Daniele, Gabriele Orlando, Francesco Tabaro, et al.. (2018). Large-scale in-silico statistical mutagenesis analysis sheds light on the deleteriousness landscape of the human proteome. Scientific Reports. 8(1). 16980–16980. 8 indexed citations
16.
Raimondi, Daniele, Gabriele Orlando, Rita Pancsa, Taushif Khan, & Wim Vranken. (2017). Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins. Scientific Reports. 7(1). 8826–8826. 32 indexed citations
17.
Raimondi, Daniele, Andrea Gazzo, Gabriele Orlando, et al.. (2017). DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins. Nucleic Acids Research. 45(W1). W201–W206. 117 indexed citations
18.
Orlando, Gabriele, Daniele Raimondi, & Wim Vranken. (2016). Observation selection bias in contact prediction and its implications for structural bioinformatics. Scientific Reports. 6(1). 18 indexed citations
19.
Raimondi, Daniele, Gabriele Orlando, Joris Messens, & Wim Vranken. (2016). Investigating the Molecular Mechanisms Behind Uncharacterized Cysteine Losses from Prediction of Their Oxidation State. Human Mutation. 38(1). 86–94. 4 indexed citations
20.
Raimondi, Daniele, Gabriele Orlando, & Wim Vranken. (2015). An Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation Model. PLoS ONE. 10(7). e0131792–e0131792. 95 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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