Alberto Bacci

4.4k citations
48 papers · 3.5k · h-index 32

Impact in

Papers in

Alberto Bacci

48 papers receiving 3.4k citations

Peers

Alberto Bacci
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 2.3k
  • Developmental Neuroscience 354
  • Cognitive Neuroscience 1.2k
  • Neurology 335
  • Biological Psychiatry 81
Replace Haruyuki Kamiya with:
Haruyuki Kamiya Japan
Robert D. Blitzer United States
Sreedharan Sajikumar Singapore
Stephen M. Fitzjohn United Kingdom
Nicola Berretta Italy
Viktor Kharazia United States
Anis Contractor United States
Jaideep Kapur United States
Alberto Bacci relative to Haruyuki Kamiya Japan Haruyuki Kamiya's profile →
Citations per field
00.5×2×3.3×
Haruyuki Kamiya · 1×
Citations per year

Countries citing papers authored by Alberto Bacci

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Bacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010475
2 2002297
3 2004244
4 2006177
5 2008158
6 2003136
7 2003131
8 2019115
9 2001105
10 1999102
11 200598
12 200289
13 200989
14 199988
15 199982
16 201078
17 200277
18 200073
19 200871
20 200263

About Alberto Bacci

Alberto Bacci is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Pharmacology and Cell Biology, having authored 48 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (39 papers), Neural dynamics and brain function (16 papers), Memory and Neural Mechanisms (7 papers), Receptor Mechanisms and Signaling (6 papers), Photoreceptor and optogenetics research (6 papers), Neuroscience and Neural Engineering (5 papers), Ion channel regulation and function (5 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Developmental Neuroscience (354 citations), Cognitive Neuroscience (1.2k citations), Neurology (335 citations) and Biological Psychiatry (81 citations). Alberto Bacci has collaborated with scholars based in Italy, France and United States. Frequent co-authors include John R. Huguenard, David A. Prince, Claudia Verderio, Michela Matteoli, Elena Pravettoni, Simone Pacioni, Viktor Kharazia, Sanjay S. Kumar, Silvia Coco and Silvia Marinelli. Their work appears in journals such as Journal of Neuroscience, PLoS Biology, Neuron, Molecular Psychiatry and European Journal of Neuroscience.

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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