Francesco Montefusco

410 citations
28 papers · 288 indexed · h-index 12
Topics
Gene Regulatory Network Analysis (9 papers)Neuroscience and Neural Engineering (4 papers)Bioinformatics and Genomic Networks (3 papers)

In The Last Decade

Francesco Montefusco

25 papers receiving 285 citations

Peers

Francesco Montefusco
Comparison fields: 5 of 64
  • Molecular Biology 151
  • Surgery 46
  • Cardiology and Cardiovascular Medicine 43
  • Biomedical Engineering 34
  • Modeling and Simulation 28
Replace Yoshimasa Kadooka with:
Yoshimasa Kadooka Japan
Kedar Aras United States
Franziska Kühn Germany
Michael Clerx United Kingdom
Hancan Zhu China
Isuru Dasanayake United States
Edward J. Hancock Australia
Junghi Kim United States
Hongxuan Li China
Eike M. Wülfers Germany
Francesco Montefusco relative to Yoshimasa Kadooka Japan Yoshimasa Kadooka's profile →
Citations per field
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Citations per year

Countries citing papers authored by Francesco Montefusco

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Montefusco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Montefusco

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Montefusco. A scholar is included among the top collaborators of Francesco Montefusco 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 Francesco Montefusco. Francesco Montefusco 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 1
2 1
3 0
4 4
5 1
6 15
7 6
8 5
9 11
10 1
11 11
12 12
13 11
14 21
15 48
16 15
17 1
18 11
19 13
20 17

About Francesco Montefusco

Francesco Montefusco is a scholar working on Modeling and Simulation, Biophysics and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 288 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Neuroscience and Neural Engineering (4 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Modeling and Simulation (28 citations), Molecular Biology (151 citations) and Cardiology and Cardiovascular Medicine (43 citations). Francesco Montefusco has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Morten Gram Pedersen, Declan G. Bates, Carlo Cosentino, Francesco Amato, Vishwesh Kulkarni, Giuliana Cortese, Orkun S. Soyer, Ozgur E. Akman, Mukesh Bansal and G. De Tommasi. Their work appears in journals such as PLoS ONE, The Journal of Physiology and International Journal of Molecular Sciences.

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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