F. Muntoni

1.4k citations
54 papers · 966 · h-index 16

Impact in

Papers in

    • Muscle Physiology and Disorders 22
    • RNA Research and Splicing 5
    • Mitochondrial Function and Pathology 5
    • RNA modifications and cancer 4
    • Nuclear Structure and Function 4
    • Neurogenetic and Muscular Disorders Research 17

F. Muntoni

50 papers receiving 946 citations

Peers

F. Muntoni
Comparison fields: 5 of 75
  • Clinical Biochemistry 112
  • Genetics 142
  • Cellular and Molecular Neuroscience 232
  • Orthopedics and Sports Medicine 82
  • Neurology 75
Replace Tina D. Jeppesen with:
Tina D. Jeppesen Denmark
Jack B. Shumate United States
Aziz Shaibani United States
Tiziana Mongini Italy
E. Peter Bosch United States
G.K. van Wijngaarden Netherlands
W. G. Bradley United Kingdom
Nicolo’ Rizzuto Italy
Gabriel Guízar‐Sahagún Mexico
F. Muntoni relative to Tina D. Jeppesen Denmark Tina D. Jeppesen's profile →
Citations per field
00.5×7.5×
Tina D. Jeppesen · 1×
Citations per year

Countries citing papers authored by F. Muntoni

Since Specialization
Citations

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

Fields of papers citing papers by F. Muntoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. 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 F. Muntoni Line = papers co-authored together F. Muntoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004157
2 1998126
3 200097
4 200669
5 200454
6 198948
7 201144
8 200444
9 200343
10 200438
11 199938
12 201235
13 200333
14 199720
15 199917
16 199317
17 200615
18 201511
19 20106
20 20176

About F. Muntoni

F. Muntoni is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Genetics and Cell Biology, having authored 54 papers that have together received 966 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Neurogenetic and Muscular Disorders Research (17 papers), Cardiomyopathy and Myosin Studies (12 papers), RNA Research and Splicing (5 papers), Mitochondrial Function and Pathology (5 papers), RNA modifications and cancer (4 papers), Nuclear Structure and Function (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (112 citations), Genetics (142 citations), Cellular and Molecular Neuroscience (232 citations), Orthopedics and Sports Medicine (82 citations) and Neurology (75 citations). F. Muntoni has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Simona Vaccargiu, Maria Giovanna Marrosu, Carlo Cianchetti, Linda M. Banks, Nicola Crabtree, C. M. Boivin, Nick J. Shaw, J N Fordham, D. J. Chinn and M S Kibirige. Their work appears in journals such as Neuromuscular Disorders, Neurology, Journal of Inherited Metabolic Disease, Neuropediatrics and European Respiratory 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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