Matteo Salvalaglio

6.2k total citations
80 papers, 2.5k citations indexed

About

Matteo Salvalaglio is a scholar working on Materials Chemistry, Molecular Biology and Physical and Theoretical Chemistry. According to data from OpenAlex, Matteo Salvalaglio has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Materials Chemistry, 27 papers in Molecular Biology and 18 papers in Physical and Theoretical Chemistry. Recurrent topics in Matteo Salvalaglio's work include Crystallization and Solubility Studies (26 papers), Protein Structure and Dynamics (17 papers) and nanoparticles nucleation surface interactions (13 papers). Matteo Salvalaglio is often cited by papers focused on Crystallization and Solubility Studies (26 papers), Protein Structure and Dynamics (17 papers) and nanoparticles nucleation surface interactions (13 papers). Matteo Salvalaglio collaborates with scholars based in United Kingdom, Switzerland and Italy. Matteo Salvalaglio's co-authors include Michele Parrinello, Federico Giberti, Marco Mazzotti, Pratyush Tiwary, Carlo Cavallotti, Claudio Perego, Vittorio Limongelli, Thomas Vetter, Giovanni M. Pavan and Aaron R. Finney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Matteo Salvalaglio

77 papers receiving 2.5k citations

Peers

Matteo Salvalaglio
Comparison fields: 5 of 127
  • Materials Chemistry 1.1k
  • Molecular Biology 828
  • Physical and Theoretical Chemistry 376
  • Atomic and Molecular Physics, and Optics 346
  • Biomedical Engineering 314
Replace Marialore Sulpizi with:
Marialore Sulpizi Germany
Bernd Ensing Netherlands
Paul J. van Maaren Sweden
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Lijiang Yang China
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Damián A. Scherlis Argentina
Chris‐Kriton Skylaris United Kingdom
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Citations per field, relative to Matteo Salvalaglio
Matteo Salvalaglio · 1×
Citations per year, relative to Matteo Salvalaglio
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Countries citing papers authored by Matteo Salvalaglio

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Salvalaglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Salvalaglio

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Salvalaglio. A scholar is included among the top collaborators of Matteo Salvalaglio 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 Matteo Salvalaglio. Matteo Salvalaglio 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
# Work Indexed citations
1 0
2 0
3 2
4 1
5 6
6 7
7 16
8 12
9 11
10 15
11 9
12 6
13 16
14 4
15 22
16 72
17 8
18 113
19 89
20
Molecular modelling of the affinity chromatography of proteins: Status and perspectives
2

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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