Mattia Miotto

975 total citations
38 papers, 524 citations indexed

About

Mattia Miotto is a scholar working on Molecular Biology, Infectious Diseases and Materials Chemistry. According to data from OpenAlex, Mattia Miotto has authored 38 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Infectious Diseases and 10 papers in Materials Chemistry. Recurrent topics in Mattia Miotto's work include Protein Structure and Dynamics (15 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Enzyme Structure and Function (8 papers). Mattia Miotto is often cited by papers focused on Protein Structure and Dynamics (15 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Enzyme Structure and Function (8 papers). Mattia Miotto collaborates with scholars based in Italy, Spain and United Kingdom. Mattia Miotto's co-authors include Edoardo Milanetti, Lorenzo Di Rienzo, Giancarlo Ruocco, Gian Gaetano Tartaglia, Giorgio Gosti, Michele Monti, Lorenzo Monacelli, Pier Paolo Olimpieri, Rosalba Lepore and Pietro Corsi and has published in prestigious journals such as Chemical Reviews, Bioinformatics and PLoS ONE.

In The Last Decade

Mattia Miotto

35 papers receiving 520 citations

Peers

Mattia Miotto
Comparison fields: 5 of 109
  • Molecular Biology 353
  • Infectious Diseases 100
  • Materials Chemistry 81
  • Computational Theory and Mathematics 71
  • Radiology, Nuclear Medicine and Imaging 41
Replace Lorenzo Di Rienzo with:
Lorenzo Di Rienzo Italy
Chenyun Guo China
Maurício G. S. Costa Brazil
Valentín Iglesias Spain
Yuichiro Hourai Japan
Sekhar Talluri India
Dhabaleswar Patra United States
D.P. Nannemann United States
Exequiel Barrera Argentina
Jon E. Black Netherlands
Lorenzo Di Rienzo Italy View profile →
Citations per field, relative to Mattia Miotto
Mattia Miotto · 1×
Citations per year, relative to Mattia Miotto
Mattia Miotto · 1×

Countries citing papers authored by Mattia Miotto

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Miotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Miotto

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Miotto. A scholar is included among the top collaborators of Mattia Miotto 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 Mattia Miotto. Mattia Miotto 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 40
4 5
5 3
6 1
7 25
8 1
9 12
10 6
11 10
12 3
13 19
14 47
15 8
16 23
17 25
18 15
19 10
20 78

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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