Fabrizio Capuani

1.2k citations
21 papers · 773 indexed · h-index 14
Topics
Gene Regulatory Network Analysis (5 papers)Microbial Metabolic Engineering and Bioproduction (5 papers)Lattice Boltzmann Simulation Studies (4 papers)
Partner nations
ItalyNetherlandsAustria

In The Last Decade

Fabrizio Capuani

19 papers receiving 766 citations

Peers

Fabrizio Capuani
Comparison fields: 5 of 95
  • Molecular Biology 437
  • Biomedical Engineering 150
  • Cell Biology 111
  • Computational Mechanics 82
  • Oncology 79
Replace S. M. Ali Tabei with:
S. M. Ali Tabei United States
David G. Míguez Spain
José C. M. Mombach Brazil
Yanxiang Zhao United States
Maria E. Gracheva United States
Peter Dieterich Germany
Isabel Brú Spain
Amitabha Nandi India
Ilan Tsafrir Israel
Kevin Loutherback United States
Fabrizio Capuani relative to S. M. Ali Tabei United States S. M. Ali Tabei's profile →
Citations per field
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S. M. Ali Tabei · 1×
Citations per year

Countries citing papers authored by Fabrizio Capuani

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Capuani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Capuani

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Capuani. A scholar is included among the top collaborators of Fabrizio Capuani 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 Fabrizio Capuani. Fabrizio Capuani 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 2
2 0
3 0
4 13
5 30
6 13
7 67
8 21
9 4
10 135
11 91
12 50
13 127
14 19
15 12
16 16
17 85
18 57
19 18
20 12

About Fabrizio Capuani

Fabrizio Capuani is a scholar working on Aging, Physical and Theoretical Chemistry and Computational Mechanics, having authored 21 papers that have together received 773 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Lattice Boltzmann Simulation Studies (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (69 citations), Cell Biology (111 citations) and Molecular Biology (437 citations). Fabrizio Capuani has collaborated with scholars based in Italy, Netherlands and Austria. Frequent co-authors include Andrea Ciliberto, Daan Frenkel, John J. Tyson, Ignacio Pagonabarraga, C. P. Lowe, Andrea De Martino, Daniele De Martino, Marco Cosentino Lagomarsino, Elisabetta Argenzio and Alexia Conte. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and The EMBO Journal.

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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