Simona Magi

47 papers receiving 1.4k citations

Peers

Simona Magi
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 518
  • Developmental Neuroscience 48
  • Neurology 97
  • Molecular Biology 681
  • Physiology 231
Replace Annagrazia Adornetto with:
Annagrazia Adornetto Italy
Xi Lu China
Aron Jurkiewicz Brazil
В. П. Зинченко Russia
Lori K. Klaidman United States
Yang‐Hyeok Jo South Korea
Lalitha Tenneti United States
Margaret M. Zaleska United States
Pasqualina Castaldo Italy
Amy K. Stout United States
Simona Magi relative to Annagrazia Adornetto Italy Annagrazia Adornetto's profile →
Citations per field
00.5×1.5×
Annagrazia Adornetto · 1×
Citations per year

Countries citing papers authored by Simona Magi

Since Specialization
Citations

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

Fields of papers citing papers by Simona Magi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006123
2 2016116
3 2019109
4 201083
5 200870
6 200660
7 201954
8 200750
9 201847
10 200747
11 201344
12 201843
13 200940
14 201235
15 200635
16 201729
17 201428
18 201726
19 202024
20 201924

About Simona Magi

Simona Magi is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology and Pharmacology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (10 papers), Mitochondrial Function and Pathology (8 papers), Alzheimer's disease research and treatments (5 papers), Molecular Sensors and Ion Detection (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (518 citations), Developmental Neuroscience (48 citations), Neurology (97 citations), Molecular Biology (681 citations) and Physiology (231 citations). Simona Magi has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Salvatore Amoroso, Vincenzo Lariccia, Pasqualina Castaldo, Silvia Piccirillo, Santo Gratteri, Marta Maiolino, Andrea Minelli, Sara Salucci, Pietro Gobbi and Michael Fine. Their work appears in journals such as Cell Calcium, European Journal of Pharmacology, The Journal of General Physiology, Cells and Pharmacological Research.

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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