Massimo Scanziani

17.5k citations
67 papers · 12.1k indexed · 4 hit papers · h-index 48

Massimo Scanziani

67 papers receiving 11.9k citations

Hit Papers

Equalizing excitation–inhibition ratios a...49720012026200920172505007501000

Peers

Massimo Scanziani
Comparison fields: 5 of 154
  • Cellular and Molecular Neuroscience 9.7k
  • Cognitive Neuroscience 8.0k
  • Sensory Systems 666
  • Developmental Neuroscience 477
  • Neurology 918
Replace Jeffrey C. Magee with:
Jeffrey C. Magee United States
Greg J. Stuart Australia
Nelson Spruston United States
Andreas Draguhn Germany
Joachim Lübke Germany
Roger D. Traub United States
R. Angus Silver United Kingdom
Yang Dan United States
Shaul Hestrin United States
John G. R. Jefferys United Kingdom
Massimo Scanziani relative to Jeffrey C. Magee United States Jeffrey C. Magee's profile →
Citations per field
00.5×1.7×
Jeffrey C. Magee · 1×
Citations per year

Countries citing papers authored by Massimo Scanziani

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Scanziani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202312
2 201652
3 2015120
4 201523
5
Equalizing excitation–inhibition ratios across visual cortical neuronsbreakdown →
2014497
6 2014204
7
Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneuronsbreakdown →
2013918
8 201219
9 2012426
10 201114
11 200930
12 2006177
13 200576
14 2005472
15 2004339
16 2002210
17 2000313
18 199611
19 199694
20 199146

About Massimo Scanziani

Massimo Scanziani is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Developmental Neuroscience and Molecular Biology, having authored 67 papers that have together received 12.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (50 papers), Neural dynamics and brain function (45 papers), Photoreceptor and optogenetics research (27 papers), Neuroscience and Neural Engineering (13 papers), Memory and Neural Mechanisms (10 papers), Visual perception and processing mechanisms (8 papers), Neurobiology and Insect Physiology Research (7 papers) and Ion channel regulation and function (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (9.7k citations), Cognitive Neuroscience (8.0k citations), Sensory Systems (666 citations), Developmental Neuroscience (477 citations) and Neurology (918 citations). Massimo Scanziani has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Frédéric Pouille, Jeffry S. Isaacson, Bassam V. Atallah, Mingshan Xue, Hillel Adesnik, Lindsey L. Glickfeld, Matteo Carandini, Roger A. Nicoll, Robert C. Malenka and Anthony D. Lien. Their work appears in journals such as Neuron, Nature, Nature Neuroscience, Journal of Neuroscience and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026