Gabriele Orlando

1.4k citations
25 papers · 619 indexed · h-index 13
Topics
Protein Structure and Dynamics (16 papers)Machine Learning in Bioinformatics (6 papers)Enzyme Structure and Function (6 papers)
Partner nations
BelgiumItalySpain

In The Last Decade

Gabriele Orlando

24 papers receiving 613 citations

Peers

Gabriele Orlando
Comparison fields: 5 of 118
  • Molecular Biology 466
  • Genetics 98
  • Materials Chemistry 79
  • Computational Theory and Mathematics 44
  • Physiology 39
Replace Xiao Fan with:
Xiao Fan United States
Daniele Raimondi Belgium
Claire D. McWhite United States
Sylwia Huber Switzerland
Yoshiko Nakada-Nakura Japan
Carien Dekker United Kingdom
Preeti Joshi United States
Simon Messing United States
Frédéric Allemand France
Diego Calzolari United States
Gabriele Orlando relative to Xiao Fan United States Xiao Fan's profile →
Citations per field
00.5×1.6×
Xiao Fan · 1×
Citations per year

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
#WorkIndexed citations
1 9
2 0
3 4
4 1
5 30
6 12
7 18
8 9
9 34
10 64
11 35
12 44
13 20
14 6
15 8
16 13
17 117
18 32
19 18
20 95

About Gabriele Orlando

Gabriele Orlando is a scholar working on Spectroscopy, Molecular Biology and Biophysics, having authored 25 papers that have together received 619 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Machine Learning in Bioinformatics (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Molecular Biology (466 citations), Genetics (98 citations) and Computational Theory and Mathematics (44 citations). Gabriele Orlando has collaborated with scholars based in Belgium, Italy and Spain. Frequent co-authors include Daniele Raimondi, Wim Vranken, Yves Moreau, Joost Schymkowitz, Frédéric Rousseau, Tom Lenaerts, Marianne Rooman, Andrea Gazzo, Francesco Tabaro and Nikolaos Louros. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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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