Daniela Parolaro

11.2k citations
149 papers · 8.6k · h-index 57

Impact in

Papers in

Daniela Parolaro

148 papers receiving 8.4k citations

Peers

Daniela Parolaro
Comparison fields: 5 of 130
  • Pharmacology 6.0k
  • Cellular and Molecular Neuroscience 4.1k
  • Biological Psychiatry 338
  • Toxicology 336
  • Endocrine and Autonomic Systems 600
Replace Tiziana Rubino with:
Tiziana Rubino Italy
Jorge Manzanares Spain
Linda A. Parker Canada
Krisztina Monory Germany
Stefania Petrosino Italy
Andrea Giuffrida United States
Philippe Soubrié France
Emmanuel S. Onaivi United States
Ester Fride Israel
Silvana Gaetani Italy
Daniela Parolaro relative to Tiziana Rubino Italy Tiziana Rubino's profile →
Citations per field
00.5×1.5×
Tiziana Rubino · 1×
Citations per year

Countries citing papers authored by Daniela Parolaro

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Parolaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011284
2 2008280
3 2007230
4 2009225
5 2004214
6 2004199
7 2012186
8 2002164
9 2006161
10 2014149
11 2007140
12 2005136
13 2015136
14 2012134
15 2013132
16 2008120
17 2002118
18 2011115
19 2007114
20 2013113

About Daniela Parolaro

Daniela Parolaro is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Physiology, having authored 149 papers that have together received 8.6k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (100 papers), Neuroscience and Neuropharmacology Research (59 papers), Neurotransmitter Receptor Influence on Behavior (55 papers), Neuropeptides and Animal Physiology (25 papers), Receptor Mechanisms and Signaling (15 papers), Pharmacological Receptor Mechanisms and Effects (15 papers), Pain Mechanisms and Treatments (11 papers) and Sleep and Wakefulness Research (8 papers). The work is most often cited by research in Pharmacology (6.0k citations), Cellular and Molecular Neuroscience (4.1k citations), Biological Psychiatry (338 citations), Toxicology (336 citations) and Endocrine and Autonomic Systems (600 citations). Daniela Parolaro has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Tiziana Rubino, Paola Massi, Daniela Viganò, Erica Zamberletti, Natalia Realini, Mariaelvina Sala, C. Guidali, Angelo Vaccani, Gabriella Giagnoni and Daniela Braida. Their work appears in journals such as European Journal of Pharmacology, British Journal of Pharmacology, Pharmacological Research, European Journal of Neuroscience and Journal of Neuroimmunology.

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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