Daniela Viganò

3.7k citations
38 papers · 3.0k · h-index 32

Impact in

Papers in

Daniela Viganò

38 papers receiving 2.9k citations

Peers

Daniela Viganò
Comparison fields: 5 of 89
  • Pharmacology 2.3k
  • Cellular and Molecular Neuroscience 1.8k
  • Biological Psychiatry 134
  • Endocrine and Autonomic Systems 219
  • Toxicology 114
Replace Paul E. Mallet with:
Paul E. Mallet Australia
Anna Lisa Muntoni Italy
Heike Hermann Germany
Astrid Cannich France
Francisco J. Bermúdez‐Silva Spain
Sara González Spain
María Scherma Italy
Eileen M. Briley United States
Regina A. Mangieri United States
A B Lynn United States
Daniela Viganò relative to Paul E. Mallet Australia Paul E. Mallet's profile →
Citations per field
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Paul E. Mallet · 1×
Citations per year

Countries citing papers authored by Daniela Viganò

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Viganò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008280
2 2007230
3 2009225
4 2007140
5 2005130
6 2010109
7 2009109
8 2007109
9 2010103
10 200998
11 200095
12 200482
13 200280
14 200876
15 199876
16 200468
17 201068
18 200767
19 199765
20 200063

About Daniela Viganò

Daniela Viganò is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, having authored 38 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (29 papers), Neurotransmitter Receptor Influence on Behavior (26 papers), Neuroscience and Neuropharmacology Research (22 papers), Sleep and Wakefulness Research (5 papers), Neuropeptides and Animal Physiology (3 papers), Tryptophan and brain disorders (2 papers), Memory and Neural Mechanisms (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Pharmacology (2.3k citations), Cellular and Molecular Neuroscience (1.8k citations), Biological Psychiatry (134 citations), Endocrine and Autonomic Systems (219 citations) and Toxicology (114 citations). Daniela Viganò has collaborated with scholars based in Italy and Ireland. Frequent co-authors include Tiziana Rubino, Daniela Parolaro, C. Guidali, Natalia Realini, Paola Massi, Mariaelvina Sala, Daniela Braida, Valeria Capurro, Vincenzo Di Marzo and D. Parolaro. Their work appears in journals such as European Journal of Neuroscience, Neuropsychopharmacology, Journal of Neurochemistry, The International Journal of Neuropsychopharmacology and Neuropharmacology.

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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