Corrado Calì

3.0k citations
92 papers · 1.8k · h-index 24

Impact in

Papers in

Corrado Calì

88 papers receiving 1.7k citations

Peers

Corrado Calì
Comparison fields: 5 of 145
  • Neurology 357
  • Developmental Neuroscience 122
  • Cellular and Molecular Neuroscience 562
  • Biological Psychiatry 70
  • Biophysics 169
Replace Marianne Renner with:
Marianne Renner France
Pablo Blinder Israel
Takashi Tsuboi Japan
Jiulin Du China
Karl A. Kasischke United States
Kaiyu Zheng United Kingdom
Pascal Steiner Switzerland
Tonghui Xu China
Yajie Liang United States
Federico Giove Italy
Corrado Calì relative to Marianne Renner France Marianne Renner's profile →
Citations per field
00.5×1.5×2.3×
Marianne Renner · 1×
Citations per year

Countries citing papers authored by Corrado Calì

Since Specialization
Citations

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

Fields of papers citing papers by Corrado Calì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012168
2 200895
3 201981
4 201578
5 201966
6 201661
7 200858
8 201458
9 201957
10 201857
11 202252
12 202150
13 201847
14 201742
15 201437
16 201037
17 202136
18 202330
19 202129
20 201326

About Corrado Calì

Corrado Calì is a scholar working on Biophysics, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Molecular Biology and Materials Chemistry, having authored 92 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (21 papers), Neuroscience and Neuropharmacology Research (15 papers), Advanced Fluorescence Microscopy Techniques (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Lipid Membrane Structure and Behavior (7 papers), Solid State Laser Technologies (6 papers), Laser Design and Applications (5 papers) and ZnO doping and properties (5 papers). The work is most often cited by research in Neurology (357 citations), Developmental Neuroscience (122 citations), Cellular and Molecular Neuroscience (562 citations), Biological Psychiatry (70 citations) and Biophysics (169 citations). Corrado Calì has collaborated with scholars based in Italy, Saudi Arabia and Switzerland. Frequent co-authors include Paola Bezzi, Pierre J. Magistretti, Mirko Santello, Mauro Mosca, Julie Marchaland, Daniya Boges, Heikki Lehväslaiho, Markus Hadwiger, Marco Agus and Romano Regazzi. Their work appears in journals such as Computers & Graphics, Optics Communications, Glia, Cerebral Cortex and The Journal of Comparative 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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