Daniela Tuscano

18 papers receiving 487 citations

Peers

Daniela Tuscano
Comparison fields: 5 of 48
  • Physiology 309
  • Neurology 15
  • Organic Chemistry 61
  • Cellular and Molecular Neuroscience 23
  • Computational Theory and Mathematics 18
Replace Cristina Zocchi with:
Cristina Zocchi Italy
Ajiroghene Thomas Italy
Ji-long Jiang United States
Arturo Perez‐Medrano United States
Edward W. Badger Switzerland
Andrea Spinaci Italy
Robert J. Gregg United States
P. G. BARALDI Italy
Jon G.A. Steadman United Kingdom
Kenneth G. Kraus United States
Daniela Tuscano relative to Cristina Zocchi Italy Cristina Zocchi's profile →
Citations per field
00.5×2×3×3.8×
Cristina Zocchi · 1×
Citations per year

Countries citing papers authored by Daniela Tuscano

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Tuscano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200269
2 200460
3 200055
4 200547
5 200544
6 200238
7 200234
8 200225
9 200523
10 200523
11 200321
12 200418
13 200117
14 200313
15 20047
16 20025
17
A3 adenosine receptors in human astrocytoma cells: agonist-mediated desensitization, internalization and down-regulation
20013
18 20042

About Daniela Tuscano

Daniela Tuscano is a scholar working on Physiology, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Molecular Biology and Psychiatry and Mental health, having authored 18 papers that have together received 504 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (14 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Receptor Mechanisms and Signaling (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Schizophrenia research and treatment (1 paper), Biochemical and Molecular Research (1 paper) and Synthesis and Characterization of Heterocyclic Compounds (1 paper). The work is most often cited by research in Physiology (309 citations), Neurology (15 citations), Organic Chemistry (61 citations), Cellular and Molecular Neuroscience (23 citations) and Computational Theory and Mathematics (18 citations). Daniela Tuscano has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Claudia Martini, Maria Letizia Trincavelli, Antonio Lucacchini, Matteo Marroni, Karl‐Norbert Klotz, Maria Pia Abbracchio, Alessandra Falleni, Vittorio Gremigni, Stefania Ceruti and Flaminio Cattabeni. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical Pharmacology, Journal of Neurochemistry, Neuropsychobiology and Journal of Psychiatric Research.

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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