Claudio Catalli

602 citations
12 papers · 212 · h-index 5

Impact in

Papers in

Claudio Catalli

10 papers receiving 203 citations

Peers

Claudio Catalli
Comparison fields: 5 of 34
  • Cellular and Molecular Neuroscience 159
  • Neurology 48
  • Molecular Biology 123
  • Genetics 10
  • Nutrition and Dietetics 14
Replace Sara Diana Lolansen with:
Sara Diana Lolansen Denmark
Benjamin O’Callaghan United Kingdom
Melissa Barghigiani Italy
Salvatore Rossi Italy
Р. В. Магжанов Russia
J. Burge United Kingdom
Paula Saffie Awad United States
A Barois France
Leema Reddy Peddareddygari United States
Akihiko Mitsutake Japan
Claudio Catalli relative to Sara Diana Lolansen Denmark Sara Diana Lolansen's profile →
Citations per field
00.5×4.7×
Sara Diana Lolansen · 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 2012114
2 200842
3 201025
4 202316
5 20145
6 20224
7 20202
8 20251
9 20151
10 20211
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 212 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 (3 papers), Neurological disorders and treatments (2 papers), Alzheimer's disease research and treatments (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Ubiquitin and proteasome pathways (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (159 citations), Neurology (48 citations), Molecular Biology (123 citations), Genetics (10 citations) and Nutrition and Dietetics (14 citations). Claudio Catalli has collaborated with scholars based in Spain, Italy and India. Frequent co-authors include Hans Scheffer, Marianne Schwartz, Martina Witsch‐Baumgartner, Baziel G.M. van Engelen, Erik‐Jan Kamsteeg, Michael F. Buckley, Jens Michael Hertz, Wolfram Kreß, Giuseppe Novelli and Fabrizio Rinaldi. Their work appears in journals such as Archives of Clinical Neuropsychology, European Journal of Human Genetics, Clinical Neurology and Neurosurgery, Journal of the Neurological Sciences and Neurology.

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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