Claudio Catalli

592 citations
12 papers · 186 · h-index 5

Impact in

Papers in

Claudio Catalli

10 papers receiving 183 citations

Peers

Claudio Catalli
Comparison fields: 5 of 34
  • Cellular and Molecular Neuroscience 148
  • Neurology 59
  • Molecular Biology 130
  • Nutrition and Dietetics 14
  • Neurology 7
Replace Futoshi Aoike with:
Futoshi Aoike Japan
Anthony J. Schulien United States
Benjamin O’Callaghan United Kingdom
Р. В. Магжанов Russia
Dominika Truban Czechia
Salvatore Rossi Italy
Sara Diana Lolansen Denmark
Domitille Gras France
Livia Pisciotta Italy
João Vasconcelos Portugal
Claudio Catalli relative to Futoshi Aoike Japan Futoshi Aoike's profile →
Citations per field
00.5×4.6×
Futoshi Aoike · 1×
Citations per year

Countries citing papers authored by Claudio Catalli

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Catalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2012100
2 200840
3 201018
4 202315
5 20144
6 20224
7 20251
8 20201
9 20211
10 20151
11
Analysis of Single Nucleotide Polymorphisms (SNPs) of the small-conductance calcium activated potassium channel (SK3) gene as genetic modifier of the cardiac phenotype in myotonic dystrophy type 1 patients.
20081
12 20250

About Claudio Catalli

Claudio Catalli is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 186 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Mitochondrial Function and Pathology (4 papers), Neurological disorders and treatments (3 papers), Cardiac electrophysiology and arrhythmias (1 paper), Hereditary Neurological Disorders (1 paper), Trace Elements in Health (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (148 citations), Neurology (59 citations), Molecular Biology (130 citations), Nutrition and Dietetics (14 citations) and Neurology (7 citations). Claudio Catalli has collaborated with scholars based in Spain, Italy and Netherlands. Frequent co-authors include Erik‐Jan Kamsteeg, Baziel G.M. van Engelen, Wolfram Kreß, Michael F. Buckley, Martina Witsch‐Baumgartner, Jens Michael Hertz, Hans Scheffer, Marianne Schwartz, Giuseppe Novelli and Fabrizio Rinaldi. Their work appears in journals such as Archives of Clinical Neuropsychology, European Journal of Human Genetics, Neurology, International Journal of Molecular Sciences and Journal of Medical Genetics.

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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