Alberto Galbusera

2.9k citations
39 papers · 1.8k · h-index 26

Impact in

Papers in

Alberto Galbusera

37 papers receiving 1.7k citations

Peers

Alberto Galbusera
Comparison fields: 5 of 99
  • Cognitive Neuroscience 996
  • Cellular and Molecular Neuroscience 424
  • Biological Psychiatry 51
  • Developmental Neuroscience 80
  • Behavioral Neuroscience 58
Replace Nagalingam Rajakumar with:
Nagalingam Rajakumar Canada
Julie A. Harris United States
B. Bogerts Germany
Alán Alpár Hungary
Manuel F. Casanova United States
Walter Francesconi Italy
Karin E. Borgmann‐Winter United States
William Hennah Finland
Darlene S. Melchitzky United States
Francesco Sforazzini Australia
Alberto Galbusera relative to Nagalingam Rajakumar Canada Nagalingam Rajakumar's profile →
Citations per field
00.5×2×4×6×7.3×
Nagalingam Rajakumar · 1×
Citations per year

Countries citing papers authored by Alberto Galbusera

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Galbusera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013158
2 2015124
3 202195
4 201394
5 201884
6 201982
7 201479
8 201777
9 201876
10 202276
11 201768
12 201461
13 202261
14 202159
15 201656
16 201456
17 201851
18 201451
19 201544
20 202042

About Alberto Galbusera

Alberto Galbusera is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Social Psychology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Autism Spectrum Disorder Research (11 papers), Neural dynamics and brain function (11 papers), Genetics and Neurodevelopmental Disorders (10 papers), Congenital heart defects research (5 papers), Neuroendocrine regulation and behavior (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Cognitive Neuroscience (996 citations), Cellular and Molecular Neuroscience (424 citations), Biological Psychiatry (51 citations), Developmental Neuroscience (80 citations) and Behavioral Neuroscience (58 citations). Alberto Galbusera has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alessandro Gozzi, Adam J. Schwarz, Angelo Bifone, María Luisa Scattoni, Massimo Pasqualetti, Adam Liska, Marco Pagani, Francesco Sforazzini, Alice Bertero and Luca Dodero. Their work appears in journals such as Cerebral Cortex, Translational Psychiatry, NeuroImage, Journal of Neuroscience and Brain.

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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