Silvia Rivara

5.9k citations
136 papers · 4.9k indexed · h-index 42
Topics
Circadian rhythm and melatonin (43 papers)Cannabis and Cannabinoid Research (35 papers)Receptor Mechanisms and Signaling (33 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Silvia Rivara

134 papers receiving 4.8k citations

Peers

Silvia Rivara
Comparison fields: 5 of 133
  • Molecular Biology 1.9k
  • Pharmacology 1.5k
  • Endocrine and Autonomic Systems 1.1k
  • Organic Chemistry 1.1k
  • Cellular and Molecular Neuroscience 997
Replace Theodore M. Kamenecka with:
Theodore M. Kamenecka United States
Pierre Renard France
Mario van der Stelt Netherlands
Jean‐Pierre Maffrand France
Marco Mor Italy
Angelo Reggiani Italy
Hans Bräuner‐Osborne Denmark
María L. López-Rodrı́guez Spain
Keisuke Hirai Japan
Gilberto Spadoni Italy
Silvia Rivara relative to Theodore M. Kamenecka United States Theodore M. Kamenecka's profile →
Citations per field
00.5×2.7×
Theodore M. Kamenecka · 1×
Citations per year

Countries citing papers authored by Silvia Rivara

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Rivara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Rivara

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Rivara. A scholar is included among the top collaborators of Silvia Rivara 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 Silvia Rivara. Silvia Rivara 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 3
2 18
3 4
4 4
5 8
6 6
7 11
8 40
9 12
10 16
11 8
12 11
13 13
14 9
15 10
16 28
17 22
18 28
19 18
20 249

About Silvia Rivara

Silvia Rivara is a scholar working on Endocrine and Autonomic Systems, Pharmacology and Cellular and Molecular Neuroscience, having authored 136 papers that have together received 4.9k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (43 papers), Cannabis and Cannabinoid Research (35 papers) and Receptor Mechanisms and Signaling (33 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Pharmacology (1.5k citations) and Toxicology (192 citations). Silvia Rivara has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Marco Mor, Giorgio Tarzia, Alessio Lodola, Gilberto Spadoni, Daniele Piomelli, Annalida Bedini, Andrea Tontini, Andrea Duranti, Pier Vincenzo Plazzi and Daniele Pala. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature 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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