Sergio Salvatori

703 citations
26 papers · 615 · h-index 16

Impact in

Papers in

Sergio Salvatori

26 papers receiving 597 citations

Peers

Sergio Salvatori
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 212
  • Molecular Biology 514
  • Cell Biology 118
  • Sensory Systems 29
  • Cardiology and Cardiovascular Medicine 127
Replace Julie Brocard with:
Julie Brocard France
Viktor Yarotskyy United States
Lan Wei Australia
Masamitsu lino Japan
Julia Eveleth United States
Isabelle Riedel Germany
Frédéric Chevessier Germany
Emma Kettle Australia
Yoshinari Gahara Japan
Christoph Fankhauser Switzerland
Sergio Salvatori relative to Julie Brocard France Julie Brocard's profile →
Citations per field
00.5×1.6×
Julie Brocard · 1×
Citations per year

Countries citing papers authored by Sergio Salvatori

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Salvatori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198582
2 198862
3 201355
4 198148
5 199341
6 198238
7 198635
8 199030
9 201626
10 199423
11 200520
12 199716
13 197916
14 198915
15 199015
16 200915
17 199313
18 199013
19 198111
20 200210

About Sergio Salvatori

Sergio Salvatori is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 26 papers that have together received 615 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (10 papers), Ion channel regulation and function (9 papers), Muscle Physiology and Disorders (6 papers), Cellular transport and secretion (5 papers), Mitochondrial Function and Pathology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Adipose Tissue and Metabolism (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (212 citations), Molecular Biology (514 citations), Cell Biology (118 citations), Sensory Systems (29 citations) and Cardiology and Cardiovascular Medicine (127 citations). Sergio Salvatori has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alfredo Margreth, Ernesto Damiani, G. Salviati, Romeo Betto, Sandra Furlan, Oriano Marin, C. Angelini, Pompeo Volpe, Claudia Heilmann and C. Spamer. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochemical Journal, Journal of Muscle Research and Cell Motility, Neurological Sciences and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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