F.M.S. Tomé

6.1k citations
72 papers · 4.4k indexed · 2 hit papers · h-index 32

F.M.S. Tomé

71 papers receiving 4.3k citations

Hit Papers

Short GCG expansions in the PABP2 gene cause oculopharyng...5831995202620052015100200300400500

Peers

F.M.S. Tomé
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 1.5k
  • Immunology and Allergy 371
  • Genetics 607
  • Cell Biology 921
  • Molecular Biology 3.9k
Replace Yoshihide Sunada with:
Yoshihide Sunada Japan
Eijiro Ozawa Japan
Silvia Torelli United Kingdom
Fumiaki Saito Japan
Mariz Vainzof Brazil
Beril Talim Türkiye
Yoh‐suke Mukouyama United States
Yuko Miyagoe‐Suzuki Japan
Reginald E. Bittner Austria
Stephen Abbs United Kingdom
F.M.S. Tomé relative to Yoshihide Sunada Japan Yoshihide Sunada's profile →
Citations per field
00.5×1.6×
Yoshihide Sunada · 1×
Citations per year

Countries citing papers authored by F.M.S. Tomé

Since Specialization
Citations

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

Fields of papers citing papers by F.M.S. Tomé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20011
2 200123
3
[Familial myopathy with desmin storage seen as a granulo-filamentar, electron-dense material with mutation of the alphaB-cristallin gene].
200018
4 199862
5
Short GCG expansions in the PABP2 gene cause oculopharyngeal muscular dystrophybreakdown →
1998583
6 19971
7 199713
8 199646
9 199657
10 1996140
11 199627
12 199613
13
Mutations in the laminin α2–chain gene (LAMA2) cause merosin–deficient congenital muscular dystrophybreakdown →
1995506
14 199445
15 199440
16 199360
17 199325
18 1992200
19 199232
20 198921

About F.M.S. Tomé

F.M.S. Tomé is a scholar working on Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 72 papers that have together received 4.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (49 papers), Genetic Neurodegenerative Diseases (25 papers), Cardiomyopathy and Myosin Studies (8 papers), Neurogenetic and Muscular Disorders Research (7 papers), Neurological diseases and metabolism (6 papers), Biotin and Related Studies (6 papers), RNA regulation and disease (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Immunology and Allergy (371 citations) and Genetics (607 citations). F.M.S. Tomé has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Michel Fardeau, Kevin P. Campbell, A. Leclerc, Jean‐Claude Kaplan, Pascale Guicheney, J. Beckmann, H. Barry Collin, Haluk Topaloğlu, France Leturcq and Corinne Cruaud. Their work appears in journals such as Neuromuscular Disorders, Neurology, FEBS Letters, Nature Genetics and Brain.

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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