Serena Deiana

1.8k total citations
24 papers, 1.4k citations indexed

About

Serena Deiana is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Serena Deiana has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 11 papers in Pharmacology and 7 papers in Cognitive Neuroscience. Recurrent topics in Serena Deiana's work include Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (12 papers) and Cannabis and Cannabinoid Research (10 papers). Serena Deiana is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (12 papers) and Cannabis and Cannabinoid Research (10 papers). Serena Deiana collaborates with scholars based in Germany, Italy and United Kingdom. Serena Deiana's co-authors include Gernot Riedel, Liana Fattore, G Cossu, Bettina Platt, Walter Fratta, Paola Fadda, Maria Sabrina Spano, Akihito Watanabe, Naoki Amada and Yuki Yamasaki and has published in prestigious journals such as British Journal of Pharmacology, Brain Research Reviews and Psychopharmacology.

In The Last Decade

Serena Deiana

23 papers receiving 1.4k citations

Peers

Serena Deiana
Comparison fields: 5 of 90
  • Pharmacology 903
  • Cellular and Molecular Neuroscience 836
  • Cognitive Neuroscience 255
  • Molecular Biology 241
  • Physiology 182
W.‐S. Vanessa Ho United Kingdom
María Scherma Italy
Sara Jane Ward United States
Federico Massa France
Alexandra Šulcová Czechia
Miquel Martín Spain
Ignacio del Arco Spain
David G. Stouffer United States
Robert E. Vann United States
S. Goldberg United States
W.‐S. Vanessa Ho United Kingdom View profile →
Citations per field, relative to Serena Deiana
Serena Deiana · 1×
Citations per year, relative to Serena Deiana
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Countries citing papers authored by Serena Deiana

Since Specialization
Citations

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

Fields of papers citing papers by Serena Deiana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Deiana

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Deiana. A scholar is included among the top collaborators of Serena Deiana 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 Serena Deiana. Serena Deiana 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
# Work Indexed citations
1 0
2 2
3 7
4 12
5 8
6 2
7 1
8 34
9 72
10 39
11 305
12 192
13 82
14 88
15 55
16 93
17 74
18 79
19 108
20 24

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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