R. Pellicciari
- Biological Psychiatry top 1%
- Molecular Biology
- Oncology top 10%
- Behavioral Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Flavio MoroniAlberto ChiarugiHui‐Qiu WuBenedetto NataliniGiovanni LombardiP. RussiDomenico E. Pellegrini‐GiampietroJohn P. Bruno
- Topics
- Neuroscience and Neuropharmacology Research (13 papers)Drug Transport and Resistance Mechanisms (8 papers)Tryptophan and brain disorders (8 papers)
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
R. Pellicciari
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Biological Psychiatry 394
- Molecular Biology 341
- Oncology 280
- Behavioral Neuroscience 249
- Cellular and Molecular Neuroscience 160
Countries citing papers authored by R. Pellicciari
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 49 | |
| 3 | 16 | |
| 4 | 75 | |
| 5 | 40 | |
| 6 | 80 | |
| 7 | 27 | |
| 8 | 98 | |
| 9 | Molecular modeling of the transmembrane domain of the metabotropic glutamate receptor mGluR1 and the model of its dimeric form | 0 |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 123 | |
| 14 | 78 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 74 | |
| 18 | 3 | |
| 19 | Synthesis, absolute configuration and activity at N-methyl-D-aspartic acid (NMDA) receptor of the four D-2-amino-4,5-methano-adipate diastereoisomers. | 7 |
| 20 | 21 |
About R. Pellicciari
R. Pellicciari is a scholar working on Biological Psychiatry, Filtration and Separation and Behavioral Neuroscience, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Drug Transport and Resistance Mechanisms (8 papers) and Tryptophan and brain disorders (8 papers). The work is most often cited by research in Biological Psychiatry (394 citations), Behavioral Neuroscience (249 citations) and Oncology (280 citations). R. Pellicciari has collaborated with scholars based in Italy, United States and Russia. Frequent 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. Their work appears in journals such as Neuroscience, Journal of Neurochemistry and Journal of Hepatology.
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.