Francesco Muntoni

15.0k citations
250 papers · 7.5k indexed · 2 hit papers · h-index 50

Francesco Muntoni

234 papers receiving 7.4k citations

Hit Papers

Onasem...1681985202619982012200400600

Peers

Francesco Muntoni
Comparison fields: 5 of 144
  • Genetics 1.6k
  • Cellular and Molecular Neuroscience 1.6k
  • Molecular Biology 5.1k
  • Cardiology and Cardiovascular Medicine 1.7k
  • Cell Biology 755
Replace Kevin M. Flanigan with:
Kevin M. Flanigan United States
Thomas Voit Germany
Kate Bushby United Kingdom
Enzo Ricci Italy
Alessandra Ferlini Italy
Luciano Merlini Italy
Francesco Muntoni United Kingdom
Elena Pegoraro Italy
Shree Pandya United States
K. Bushby United Kingdom
Francesco Muntoni relative to Kevin M. Flanigan United States Kevin M. Flanigan's profile →
Citations per field
00.5×1.5×
Kevin M. Flanigan · 1×
Citations per year

Countries citing papers authored by Francesco Muntoni

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Muntoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Francesco Muntoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesco Muntoni Line = papers co-authored together Francesco Muntoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20242
5 20230
6 202316
7 202223
8 20225
9 202115
10 20200
11 201925
12 201853
13 201814
14 201632
15
Zebra body myopathy resolved
20097
16 20078
17 20044
18 200367
19 200267
20
Familial dilated cardiomyopathy with subclinical skeletal muscle involvement
19961

About Francesco Muntoni

Francesco Muntoni is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 250 papers that have together received 7.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (125 papers), Neurogenetic and Muscular Disorders Research (58 papers), Cardiomyopathy and Myosin Studies (45 papers), Nuclear Structure and Function (22 papers), RNA Research and Splicing (20 papers), Genetic Neurodegenerative Diseases (19 papers), RNA modifications and cancer (19 papers) and Mitochondrial Function and Pathology (17 papers). The work is most often cited by research in Genetics (1.6k citations), Cellular and Molecular Neuroscience (1.6k citations) and Molecular Biology (5.1k citations). Francesco Muntoni has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Caroline A. Sewry, Eugenio Mercuri, Maria Collu, Gian Luigi Gessa, Giampaolo Mereu, Heinz Jungbluth, L Vargiu, Maria Kinali, Adnan Y. Manzur and Anita K. Simonds. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.

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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