R. Pellicciari

1.3k total citations
43 papers, 1.1k citations indexed

About

R. Pellicciari is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, R. Pellicciari has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 13 papers in Oncology. Recurrent topics in R. Pellicciari's work include Neuroscience and Neuropharmacology Research (13 papers), Drug Transport and Resistance Mechanisms (8 papers) and Tryptophan and brain disorders (8 papers). R. Pellicciari is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Drug Transport and Resistance Mechanisms (8 papers) and Tryptophan and brain disorders (8 papers). R. Pellicciari collaborates with scholars based in Italy, United States and Russia. R. Pellicciari's co-authors include Flavio Moroni, Alberto Chiarugi, Hui‐Qiu Wu, Benedetto Natalini, Giovanni Lombardi, P. Russi, Domenico E. Pellegrini‐Giampietro, John P. Bruno, Robert Schwarcz and Maura Marinozzi and has published in prestigious journals such as Neuroscience, Journal of Neurochemistry and Journal of Hepatology.

In The Last Decade

R. Pellicciari

42 papers receiving 1.1k citations

Peers

R. Pellicciari
Danielle G. Smith Australia
Jeffrey W. Cramer United States
Kazuyuki Tomisawa Japan
Masato Inazu Japan
Terry D. Lindstrom United States
Michael L. Corman United States
Mitsuhiro Makino Japan
Irmgard Wiesenberg Switzerland
Csaba Tömböly Hungary
Anna Partyka Poland
Danielle G. Smith Australia
R. Pellicciari
Citations per year, relative to R. Pellicciari R. Pellicciari (= 1×) peers Danielle G. Smith

Countries citing papers authored by R. Pellicciari

Since Specialization
Citations

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

Fields of papers citing papers by R. Pellicciari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Pellicciari

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

All Works

20 of 20 papers shown
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Moroni, Flavio, Andrea Cozzi, Alberto Chiarugi, et al.. (2011). Long‐lasting neuroprotection and neurological improvement in stroke models with new, potent and brain permeable inhibitors of poly(ADP‐ribose) polymerase. British Journal of Pharmacology. 165(5). 1487–1500. 49 indexed citations
3.
Tentori, Lucio, Alessia Muzi, Annalisa Susanna Dorio, et al.. (2010). Pharmacological Inhibition of Poly(ADP-ribose) Polymerase (PARP) Activity in PARP-1 Silenced Tumour Cells Increases Chemosensitivity to Temozolomide and to a N3-Adenine Selective Methylating Agent. Current Cancer Drug Targets. 10(4). 368–383. 16 indexed citations
4.
Konradsson‐Geuken, Åsa, Hui‐Qiu Wu, Clelland R. Gash, et al.. (2010). Cortical kynurenic acid bi-directionally modulates prefrontal glutamate levels as assessed by microdialysis and rapid electrochemistry. Neuroscience. 169(4). 1848–1859. 75 indexed citations
5.
Moroni, Flavio, Laura Formentini, Elisabetta Gerace, et al.. (2009). Selective PARP‐2 inhibitors increase apoptosis in hippocampal slices but protect cortical cells in models of post‐ischaemic brain damage. British Journal of Pharmacology. 157(5). 854–862. 40 indexed citations
6.
Amori, Laura, Hui‐Qiu Wu, Maura Marinozzi, et al.. (2008). Specific inhibition of kynurenate synthesis enhances extracellular dopamine levels in the rodent striatum. Neuroscience. 159(1). 196–203. 80 indexed citations
7.
Natalini, Benedetto, Roccaldo Sardella, Antonio Macchiarulo, & R. Pellicciari. (2006). Dynamic ligand‐exchange chiral stationary phase from S‐benzyl‐(R)‐cysteine. Chirality. 18(7). 509–518. 27 indexed citations
8.
Rizzo, Gianluca, Barbara Renga, Andrea Mencarelli, R. Pellicciari, & Stefano Fiorucci. (2005). Role of FXR in Regulating Bile Acid Homeostasis and Relevance for Human Diseases. PubMed. 5(3). 289–303. 98 indexed citations
9.
Costantino, Gabriele, et al.. (2003). Molecular modeling of the transmembrane domain of the metabotropic glutamate receptor mGluR1 and the model of its dimeric form. Proceedings of the USSR Academy of Sciences. 393(6). 827–831.
10.
Costantino, Gabriele, et al.. (2003). Molecular Modeling of the Ligand-Binding Domains of the NR3A and NR3B Subunits of the NMDA Receptor. Doklady Biochemistry and Biophysics. 389(1-6). 83–89. 2 indexed citations
11.
Belenikin, Maxim S., Gabriele Costantino, Vladimir A. Palyulin, R. Pellicciari, & N. S. Zefirov. (2003). Molecular Modeling of the mGluR1 Metabotropic Glutamate Receptor Transmembrane Domain and Construction of the Model of Its Dimer. Doklady Biochemistry and Biophysics. 393(1-6). 341–345. 2 indexed citations
12.
Belenikin, Maxim S., Igor I. Baskin, Gabriele Costantino, et al.. (2002). Molecular Modeling of the Closed Forms of the Kainate-Binding Domains of Kainate Receptors and Qualitative Analysis of the Structure–Activity Relationships for Some Agonists. Doklady Biochemistry and Biophysics. 386(1-6). 239–244. 1 indexed citations
13.
Moroni, Flavio, Elena Meli, Fiamma Peruginelli, et al.. (2001). Poly(ADP-ribose) polymerase inhibitors attenuate necrotic but not apoptotic neuronal death in experimental models of cerebral ischemia. Cell Death and Differentiation. 8(9). 921–932. 123 indexed citations
14.
Bisaglia, Michela, Benedetto Natalini, R. Pellicciari, et al.. (2000). C3‐Fullero‐tris‐Methanodicarboxylic Acid Protects Cerebellar Granule Cells from Apoptosis. Journal of Neurochemistry. 74(3). 1197–1204. 78 indexed citations
15.
16.
Costantino, Gabriele, Luisa Mattoli, Flavio Moroni, Benedetto Natalini, & R. Pellicciari. (1996). Kynurenine-3-Hydroxylase and its Selective Inhibitors. Advances in experimental medicine and biology. 398. 493–497. 1 indexed citations
17.
Russi, P., et al.. (1992). Nicotinylalanine Increases the Formation of Kynurenic Acid in the Brain and Antagonizes Convulsions. Journal of Neurochemistry. 59(6). 2076–2080. 74 indexed citations
18.
Clerici, Carlo, Eleonora Distrutti, Bahman M. Sadeghpour, et al.. (1992). Effect of intraduodenal administration of 23-methyl-UDCA diastereoisomers on bile flow in hamsters. Digestive Diseases and Sciences. 37(5). 791–798. 3 indexed citations
19.
Pellicciari, R., et al.. (1991). Synthesis, absolute configuration and activity at N-methyl-D-aspartic acid (NMDA) receptor of the four D-2-amino-4,5-methano-adipate diastereoisomers.. PubMed. 46(11). 1243–64. 7 indexed citations
20.
Pellicciari, R., Benedetto Natalini, & Renata Fringuelli. (1987). An efficient procedure for the regiospecific preparation of d-homo-steroid derivatives. Steroids. 49(4-5). 433–441. 21 indexed citations

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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