Daniela Catarzi
About
Daniela Catarzi is a scholar working on Organic Chemistry, Molecular Biology and Physiology.
According to data from OpenAlex, Daniela Catarzi has authored 102 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Organic Chemistry, 70 papers in Molecular Biology and 58 papers in Physiology. Recurrent topics in Daniela Catarzi's work include Adenosine and Purinergic Signaling (58 papers), Synthesis and Biological Evaluation (58 papers) and Receptor Mechanisms and Signaling (25 papers). Daniela Catarzi is often cited by papers focused on Adenosine and Purinergic Signaling (58 papers), Synthesis and Biological Evaluation (58 papers) and Receptor Mechanisms and Signaling (25 papers). Daniela Catarzi collaborates with scholars based in Italy, Australia and United Kingdom. Daniela Catarzi's co-authors include Vittoria Colotta, Flavia Varano, Guido Filacchioni, Claudia Martini, Alessandro Galli, Chiara Costagli, Stefano Moro, Maria Letizia Trincavelli, Ombretta Lenzi and Lucia Cecchi and has published in prestigious journals such as Journal of Medicinal Chemistry, Biochemical Pharmacology and European Journal of Medicinal Chemistry.
In The Last Decade
Daniela Catarzi
99 papers receiving 2.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Daniela Catarzi Italy | 30 | 1.5k | 1.2k | 913 | 244 | 125 | 102 | 2.3k | ||
| Flavia Varano Italy | 30 | 1.4k 0.9× | 1.2k 1.0× | 862 0.9× | 234 1.0× | 106 0.8× | 87 | 2.1k | ||
| Vittoria Colotta Italy | 31 | 1.7k 1.1× | 1.3k 1.0× | 924 1.0× | 261 1.1× | 169 1.4× | 113 | 2.5k | ||
| Barbara Cosimelli Italy | 25 | 1.0k 0.7× | 652 0.5× | 223 0.2× | 137 0.6× | 151 1.2× | 87 | 1.7k | ||
| James A. Bristol United States | 18 | 668 0.4× | 816 0.7× | 503 0.6× | 240 1.0× | 144 1.2× | 43 | 1.6k | ||
| Michio Ichimura Japan | 23 | 594 0.4× | 928 0.7× | 372 0.4× | 264 1.1× | 296 2.4× | 49 | 1.6k | ||
| Philip J. M. van Galen United States | 16 | 400 0.3× | 610 0.5× | 723 0.8× | 187 0.8× | 40 0.3× | 21 | 1.1k | ||
| Andrew W. Stamford United States | 22 | 479 0.3× | 604 0.5× | 245 0.3× | 245 1.0× | 187 1.5× | 51 | 1.5k | ||
| Sheryl J. Hays United States | 17 | 468 0.3× | 700 0.6× | 329 0.4× | 280 1.1× | 46 0.4× | 37 | 1.3k | ||
| Francesca Deflorian United States | 24 | 373 0.2× | 1.3k 1.0× | 641 0.7× | 449 1.8× | 48 0.4× | 42 | 1.8k | ||
| Francesca Simorini Italy | 23 | 703 0.5× | 709 0.6× | 120 0.1× | 142 0.6× | 158 1.3× | 53 | 1.4k |
Countries citing papers authored by Daniela Catarzi
Since
Specialization
Citations
This map shows the geographic impact of Daniela Catarzi'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 Catarzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Catarzi more than expected).
Fields of papers citing papers by Daniela Catarzi
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Daniela Catarzi. 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 Catarzi. The network helps show where Daniela Catarzi may publish in the future.
Co-authorship network of co-authors of Daniela Catarzi
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Catarzi. A scholar is included among the top collaborators of Daniela Catarzi 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 Daniela Catarzi. Daniela Catarzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Spinaci, Andrea, Michela Buccioni, Daniela Catarzi, et al.. (2023). “Dual Anta-Inhibitors” of the A2A Adenosine Receptor and Casein Kinase CK1delta: Synthesis, Biological Evaluation, and Molecular Modeling Studies. Pharmaceuticals. 16(2). 167–167.
2.
Cherchi, Federica, Ilaria Dettori, Daniela Catarzi, et al.. (2023). Pharmacological Characterization of P626, a Novel Dual Adenosine A2A/A2B Receptor Antagonist, on Synaptic Plasticity and during an Ischemic-like Insult in CA1 Rat Hippocampus. Biomolecules. 13(6). 894–894.
3.
Lambertucci, Catia, Gabriella Marucci, Daniela Catarzi, et al.. (2022). A2A Adenosine Receptor Antagonists and their Potential in NeurologicalDisorders. Current Medicinal Chemistry. 29(28). 4780–4795.
4.
Catarzi, Daniela, Flavia Varano, Fabrizio Melani, et al.. (2022). 4-Heteroaryl Substituted Amino-3,5-Dicyanopyridines as New Adenosine Receptor Ligands: Novel Insights on Structure-Activity Relationships and Perspectives. Pharmaceuticals. 15(4). 478–478.
5.
Catarzi, Daniela, Flavia Varano, Catia Lambertucci, et al.. (2022). Casein Kinase 1δ Inhibitors as Promising Therapeutic Agents forNeurodegenerative Disorders. Current Medicinal Chemistry. 29(27). 4698–4737.
6.
Varano, Flavia, Daniela Catarzi, Diego Dal Ben, et al.. (2021). Design and Synthesis of Novel Thiazolo[5,4-d]pyrimidine Derivatives with High Affinity for Both the Adenosine A1 and A2A Receptors, and Efficacy in Animal Models of Depression. Pharmaceuticals. 14(7). 657–657.
7.
Falsini, Matteo, Daniela Catarzi, Flavia Varano, et al.. (2020). New 8-amino-1,2,4-triazolo[4,3-a]pyrazin-3-one derivatives. Evaluation of different moieties on the 6-aryl ring to obtain potent and selective human A2A adenosine receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 30(11). 127126–127126.
8.
Varano, Flavia, Daniela Catarzi, Fabrizio Vincenzi, et al.. (2020). Structural investigation on thiazolo[5,4-d]pyrimidines to obtain dual-acting blockers of CD73 and adenosine A2A receptor as potential antitumor agents. Bioorganic & Medicinal Chemistry Letters. 30(9). 127067–127067.
9.
Catarzi, Daniela, Flavia Varano, Matteo Falsini, et al.. (2019). Modifications on the Amino-3,5-dicyanopyridine Core To Obtain Multifaceted Adenosine Receptor Ligands with Antineuropathic Activity. Journal of Medicinal Chemistry. 62(15). 6894–6912.
10.
Falsini, Matteo, Daniela Catarzi, Flavia Varano, et al.. (2019). Novel 8-amino-1,2,4-triazolo[4,3-a]pyrazin-3-one derivatives as potent human adenosine A1 and A2A receptor antagonists. Evaluation of their protective effect against β-amyloid-induced neurotoxicity in SH-SY5Y cells. Bioorganic Chemistry. 87. 380–394.
11.
Falsini, Matteo, Daniela Catarzi, Flavia Varano, et al.. (2019). Antioxidant-Conjugated 1,2,4-Triazolo[4,3-a]pyrazin-3-one Derivatives: Highly Potent and Selective Human A2A Adenosine Receptor Antagonists Possessing Protective Efficacy in Neuropathic Pain. Journal of Medicinal Chemistry. 62(18). 8511–8531.
12.
Varano, Flavia, Daniela Catarzi, Fabrizio Vincenzi, et al.. (2018). Structure-activity relationship studies and pharmacological characterization of N5-heteroarylalkyl-substituted-2-(2-furanyl)thiazolo[5,4-d]pyrimidine-5,7-diamine-based derivatives as inverse agonists at human A2A adenosine receptor. European Journal of Medicinal Chemistry. 155. 552–561.
13.
Varano, Flavia, Daniela Catarzi, Matteo Falsini, et al.. (2018). Identification of novel thiazolo[5,4-d]pyrimidine derivatives as human A1 and A2A adenosine receptor antagonists/inverse agonists. Bioorganic & Medicinal Chemistry. 26(12). 3688–3695.
14.
Catarzi, Daniela, Flavia Varano, Matteo Falsini, et al.. (2018). The aminopyridine-3,5-dicarbonitrile core for the design of new non-nucleoside-like agonists of the human adenosine A2B receptor. European Journal of Medicinal Chemistry. 150. 127–139.
15.
Varano, Flavia, Daniela Catarzi, Matteo Falsini, et al.. (2018). Novel human adenosine receptor antagonists based on the 7-amino-thiazolo[5,4-d]pyrimidine scaffold. Structural investigations at the 2-, 5- and 7-positions to enhance affinity and tune selectivity. Bioorganic & Medicinal Chemistry Letters. 29(4). 563–569.
16.
Bonardi, Alessandro, Matteo Falsini, Daniela Catarzi, et al.. (2018). Structural investigations on coumarins leading to chromeno[4,3-c]pyrazol-4-ones and pyrano[4,3-c]pyrazol-4-ones: New scaffolds for the design of the tumor-associated carbonic anhydrase isoforms IX and XII. European Journal of Medicinal Chemistry. 146. 47–59.
17.
Fusco, Irene, et al.. (2017). Abstracts from the 2017 Italian-German Purine Club Meeting. Purinergic Signalling. 13(4). 629–681.
18.
Pugliese, Anna Maria, Irene Fusco, Francesca Cencetti, et al.. (2017). Activation of adenosine A 2B receptors and sphingosine kinase/sphingosine 1-phosphate signaling axis modulates the amplitude of outward K + currents and maturation of oligodendrocyte precursor cells. Florence Research (University of Florence).
19.
Colotta, Vittoria, Ombretta Lenzi, Daniela Catarzi, et al.. (2012). 3-Hydroxy-1H-quinazoline-2,4-dione derivatives as new antagonists at ionotropic glutamate receptors: Molecular modeling and pharmacological studies. European Journal of Medicinal Chemistry. 54. 470–482.
20.
Catarzi, Daniela, Vittoria Colotta, Flavia Varano, et al.. (2001). Synthesis, Ionotropic Glutamate Receptor Binding Affinity, and Structure−Activity Relationships of a New Set of 4,5-Dihydro-8-heteroaryl-4-oxo-1,2,4-triazolo[1,5-a]quinoxaline-2-carboxylates Analogues of TQX-173. Journal of Medicinal Chemistry. 44(19). 3157–3165.
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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