Silvia Vailati

734 citations
20 papers · 588 · h-index 13

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 10
    • Ion channel regulation and function 7
    • Receptor Mechanisms and Signaling 6
    • Pharmacological Receptor Mechanisms and Effects 2
    • Neuroscience and Neuropharmacology Research 4

Silvia Vailati

19 papers receiving 577 citations

Peers

Silvia Vailati
Comparison fields: 5 of 70
  • Cellular and Molecular Neuroscience 222
  • Pharmacology 119
  • Molecular Biology 458
  • Neurology 82
  • Insect Science 51
Replace James P. Boorman with:
James P. Boorman United Kingdom
María Izco Spain
M. J. Cano‐Cebrián Spain
Carla Cristian Campos Brazil
Xiangpeng Ren China
Maria Regina Lopes Sandoval Brazil
Arik J. Hone United States
Yu‐Tzu Shih Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Silvia Vailati

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Vailati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006102
2 1999101
3 200474
4 200464
5 201741
6 200028
7 202026
8 200025
9 200123
10 202222
11 202017
12 202013
13 199913
14 200411
15 20228
16 20137
17 20236
18 20155
19 20002
20 20240

About Silvia Vailati

Silvia Vailati is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Insect Science and Microbiology, having authored 20 papers that have together received 588 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (10 papers), Ion channel regulation and function (7 papers), Receptor Mechanisms and Signaling (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Insect and Pesticide Research (3 papers), Neurological disorders and treatments (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (222 citations), Pharmacology (119 citations), Molecular Biology (458 citations), Neurology (82 citations) and Insect Science (51 citations). Silvia Vailati has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Cecilia Gotti, Francesco Clementi, Milena Moretti, Renato Longhi, B. Balestra, Benedetta Barabino, Loredana Riganti, Wolfgang Hanke, Elsa Melloni and Gloria Padoani. Their work appears in journals such as Molecular Pharmacology, Neuropharmacology, Experimental Neurology, Journal of Pharmacology and Experimental Therapeutics and Scientific Reports.

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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