Pamela Prini

24 total papers · 926 total citations
14 papers, 685 citations indexed

About

Pamela Prini is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Pamela Prini has authored 14 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmacology, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Pamela Prini's work include Cannabis and Cannabinoid Research (10 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Pamela Prini is often cited by papers focused on Cannabis and Cannabinoid Research (10 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Pamela Prini collaborates with scholars based in Italy. Pamela Prini's co-authors include Tiziana Rubino, Erica Zamberletti, Daniela Parolaro, Marina Gabaglio, Fabiana Piscitelli, Massimo Trusel, Raffaella Tonini, Sarah Beggiato, Luca Steardo and Vincenzo Di Marzo and has published in prestigious journals such as International Journal of Molecular Sciences, Neuroscience and Journal of Lipid Research.

In The Last Decade

Pamela Prini

14 papers receiving 676 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pamela Prini 522 388 116 99 74 14 685
Marina Gabaglio 401 0.8× 252 0.6× 70 0.6× 169 1.7× 72 1.0× 14 594
Silvana Gaetani 370 0.7× 277 0.7× 76 0.7× 120 1.2× 104 1.4× 13 682
Noam Katz 444 0.9× 401 1.0× 34 0.3× 113 1.1× 69 0.9× 9 650
Andreza Buzolin Sonego 602 1.2× 274 0.7× 40 0.3× 166 1.7× 63 0.9× 15 727
Linda E. Klumpers 423 0.8× 195 0.5× 45 0.4× 86 0.9× 43 0.6× 17 655
Teresa Macheda 240 0.5× 265 0.7× 79 0.7× 77 0.8× 103 1.4× 20 635
Amaya Austrich-Olivares 337 0.6× 150 0.4× 59 0.5× 80 0.8× 78 1.1× 10 595
Daniel Shaver 191 0.4× 256 0.7× 124 1.1× 104 1.1× 93 1.3× 9 660
Lester H. Myers 641 1.2× 481 1.2× 36 0.3× 148 1.5× 59 0.8× 13 749
Trinidad Saez 307 0.6× 317 0.8× 64 0.6× 89 0.9× 131 1.8× 14 586

Countries citing papers authored by Pamela Prini

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Prini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Prini

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Prini. A scholar is included among the top collaborators of Pamela Prini 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 Pamela Prini. Pamela Prini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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