Stefano Taverna

3.9k citations
44 papers · 2.8k indexed · 1 hit paper · h-index 24
Topics
Neuroscience and Neuropharmacology Research (18 papers)Neuroscience and Neural Engineering (9 papers)Ion channel regulation and function (9 papers)

In The Last Decade

Stefano Taverna

44 papers receiving 2.7k citations

Hit Papers

Direct generation of functional dopaminergic neurons from...20112026201620212011250500750

Peers

Stefano Taverna
Comparison fields: 5 of 117
  • Molecular Biology 1.6k
  • Cellular and Molecular Neuroscience 1.4k
  • Cognitive Neuroscience 514
  • Neurology 338
  • Developmental Neuroscience 241
Replace Peter R. Maycox with:
Peter R. Maycox United Kingdom
Eugene P. Brandon United States
Gareth M. Thomas United States
Derya R. Shimshek Switzerland
Kumlesh K. Dev Ireland
Shernaz X. Bamji Canada
Donald Pizzo United States
Natalia Ninkina United Kingdom
Arkady Khoutorsky Canada
Anna Fassio Italy
Stefano Taverna relative to Peter R. Maycox United Kingdom Peter R. Maycox's profile →
Citations per field
00.5×2.7×
Peter R. Maycox · 1×
Citations per year

Countries citing papers authored by Stefano Taverna

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Taverna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Taverna

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Taverna. A scholar is included among the top collaborators of Stefano Taverna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefano Taverna. Stefano Taverna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 9
3 2
4 11
5 16
6 3
7 68
8 73
9 2
10 31
11 71
12 58
13 91
14 1
15 28
16 61
17 56
18 49
19 8
20 75

About Stefano Taverna

Stefano Taverna is a scholar working on Cellular and Molecular Neuroscience, Neurology and Aging, having authored 44 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Neuroscience and Neural Engineering (9 papers) and Ion channel regulation and function (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Developmental Neuroscience (241 citations) and Cognitive Neuroscience (514 citations). Stefano Taverna has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Ema Ilijić, D. James Surmeier, Giovanni Russo, Vania Broccoli, Silvana Franceschetti, G. Avanzini, Cyriel M. A. Pennartz, Elena Dvoretskova, Maria Teresa Dell’Anno and Alexander Dityatev. Their work appears in journals such as Nature, Journal of Clinical Investigation and Neuron.

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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