Maria Rosaria Varı̀

526 total citations
19 papers, 360 citations indexed

About

Maria Rosaria Varı̀ is a scholar working on Toxicology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maria Rosaria Varı̀ has authored 19 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Toxicology, 5 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maria Rosaria Varı̀'s work include Forensic Toxicology and Drug Analysis (8 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Psychedelics and Drug Studies (3 papers). Maria Rosaria Varı̀ is often cited by papers focused on Forensic Toxicology and Drug Analysis (8 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Psychedelics and Drug Studies (3 papers). Maria Rosaria Varı̀ collaborates with scholars based in Italy and Spain. Maria Rosaria Varı̀'s co-authors include Simona Zaami, Enrico Marinelli, Francesco Paolo Busardò, Raffaele Giorgetti, Simona Pichini, Romualdo Benigni, Giovanna Ricci, Riccardo Crebelli, Andrea Rodomonte and L. Conti and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Maria Rosaria Varı̀

17 papers receiving 346 citations

Peers

Maria Rosaria Varı̀
Comparison fields: 5 of 95
  • Clinical Psychology 116
  • Toxicology 108
  • Pharmacology 52
  • Molecular Biology 51
  • Cellular and Molecular Neuroscience 45
Replace Valeria Catalani with:
Valeria Catalani Italy
Davide Arillotta Italy
Sulaf Assi United Kingdom
Maria Katselou Greece
Abu Shafi United Kingdom
Ragnar Thomsen Denmark
Silvia Graziano Italy
Pietro Brunetti Italy
P. Anantha Reddy United States
Ilaria Palmi Italy
Valeria Catalani Italy View profile →
Citations per field, relative to Maria Rosaria Varı̀
Maria Rosaria Varı̀ · 1×
Citations per year, relative to Maria Rosaria Varı̀
Maria Rosaria Varı̀ · 1×

Countries citing papers authored by Maria Rosaria Varı̀

Since Specialization
Citations

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

Fields of papers citing papers by Maria Rosaria Varı̀

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Rosaria Varı̀. 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 Maria Rosaria Varı̀. The network helps show where Maria Rosaria Varı̀ may publish in the future.

Co-authorship network of co-authors of Maria Rosaria Varı̀

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 20
5 8
6 1
7 5
8 5
9 120
10 24
11 1
12 34
13 40
14 16
15 40
16 0
17 5
18 24
19 14

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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