Massimo Rizzi

3.2k citations
47 papers · 2.6k · h-index 26

Impact in

Papers in

Massimo Rizzi

46 papers receiving 2.5k citations

Peers

Massimo Rizzi
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 1.3k
  • Psychiatry and Mental health 767
  • Developmental Neuroscience 212
  • Neurology 333
  • Pediatrics, Perinatology and Child Health 505
Replace Katarzyna Łukasiuk with:
Katarzyna Łukasiuk Poland
Mireille Lerner‐Natoli France
Jing‐Qiong Kang United States
Claudia Brandt Germany
Sebastian Ivens Germany
Anton Pekcec Germany
Mattia Maroso United States
Brenda E. Porter United States
M. Teresa Miras‐Portugal Spain
Frédéric de Bock France
Massimo Rizzi relative to Katarzyna Łukasiuk Poland Katarzyna Łukasiuk's profile →
Citations per field
00.5×1.5×
Katarzyna Łukasiuk · 1×
Citations per year

Countries citing papers authored by Massimo Rizzi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003218
2 2002203
3
Limbic seizures induce P-glycoprotein in rodent brain: functional implications for pharmacoresistance.
2002197
4 2019188
5 2001169
6 2005147
7 2008143
8 2013139
9 1996125
10 200595
11 199992
12 200567
13 199363
14 199463
15 199161
16 199557
17 200454
18 201654
19 201748
20 200647

About Massimo Rizzi

Massimo Rizzi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Psychiatry and Mental health, Cognitive Neuroscience and Oncology, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (26 papers), Epilepsy research and treatment (10 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Drug Transport and Resistance Mechanisms (6 papers), EEG and Brain-Computer Interfaces (5 papers), Neuropeptides and Animal Physiology (5 papers), Ion channel regulation and function (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Psychiatry and Mental health (767 citations), Developmental Neuroscience (212 citations), Neurology (333 citations) and Pediatrics, Perinatology and Child Health (505 citations). Massimo Rizzi has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Annamaria Vezzani, R. Samanin, Teresa Ravizza, Cristina Richichi, Eleonora Aronica, Marisa Aliprandi, Günther Sperk, Giovanna Guiso, Silvio Caccia and Jan A. Gorter. Their work appears in journals such as Neurobiology of Disease, Epilepsia, European Journal of Neuroscience, Brain Research and 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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