G. Perretta

806 total citations
31 papers, 659 citations indexed

About

G. Perretta is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. Perretta has authored 31 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. Perretta's work include Marine Biology and Environmental Chemistry (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). G. Perretta is often cited by papers focused on Marine Biology and Environmental Chemistry (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). G. Perretta collaborates with scholars based in Italy, United States and Romania. G. Perretta's co-authors include Alessandra Taglioni, Gabriele Schino, Alfonso Troisi, Daniela Marasco, Menotti Ruvo, Concetta Di Natale, Pasquale Scognamiglio, Maurizio Fiori, Pasquale Gallo and Luigi Serpe and has published in prestigious journals such as Scientific Reports, Biochemical Journal and Atmospheric Environment.

In The Last Decade

G. Perretta

31 papers receiving 646 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Perretta Italy 14 197 144 72 69 51 31 659
Francesca Boscaro Italy 19 244 1.2× 109 0.8× 36 0.5× 340 4.9× 32 0.6× 29 1.1k
Chad B. Sandusky United States 7 158 0.8× 100 0.7× 14 0.2× 31 0.4× 47 0.9× 9 841
Simone Pifferi Italy 16 449 2.3× 81 0.6× 14 0.2× 28 0.4× 124 2.4× 35 1.3k
Karen K. Yee United States 24 258 1.3× 15 0.1× 102 1.4× 40 0.6× 439 8.6× 40 1.6k
Marco A. Sánchez United States 23 407 2.1× 50 0.3× 84 1.2× 17 0.2× 28 0.5× 39 1.4k
János Barna Hungary 17 459 2.3× 74 0.5× 33 0.5× 18 0.3× 11 0.2× 30 1.0k
Sayaka Inoue Japan 9 154 0.8× 166 1.2× 22 0.3× 24 0.3× 45 0.9× 27 501
Catherine Jacquot France 13 180 0.9× 58 0.4× 36 0.5× 36 0.5× 10 0.2× 28 524
Beate Hartmann Germany 16 593 3.0× 52 0.4× 16 0.2× 86 1.2× 17 0.3× 30 1.2k
Alexander Götz Germany 19 252 1.3× 55 0.4× 30 0.4× 15 0.2× 33 0.6× 36 815

Countries citing papers authored by G. Perretta

Since Specialization
Citations

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

Fields of papers citing papers by G. Perretta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Perretta

This figure shows the co-authorship network connecting the top 25 collaborators of G. Perretta. A scholar is included among the top collaborators of G. Perretta 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 G. Perretta. G. Perretta 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
1.
Migliardini, F., Valeria Califano, G. Perretta, et al.. (2023). Synthesis of core-shell magnetic mesoporous silica nanoparticles to disperse amine functionalities for post-combustion carbon dioxide capture. Journal of the Taiwan Institute of Chemical Engineers. 153. 105237–105237. 2 indexed citations
2.
Costagliola, Maria Antonietta, Maria Vittoria Prati, & G. Perretta. (2022). Post combustion CO2 capture with calcium and lithium hydroxide. Scientific Reports. 12(1). 10518–10518. 13 indexed citations
3.
Ausanio, G., Valeria Califano, A. Costantini, et al.. (2019). Matrix-assisted pulsed laser evaporation of β-glucosidase from a dopa/quinone target. Enzyme and Microbial Technology. 132. 109414–109414. 14 indexed citations
4.
Bende, Attila, G. Perretta, Paolo Sementa, & T.M. Di Palma. (2015). Inception of Acetic Acid/Water Cluster Growth in Molecular Beams. ChemPhysChem. 16(14). 3021–3029. 8 indexed citations
5.
Perretta, G.. (2014). Non-Human Primate Models in Neuroscience Research. Ajakirjad. Journals by UT. 36(1). 77–85. 14 indexed citations
6.
Scognamiglio, Pasquale, Concetta Di Natale, G. Perretta, & Daniela Marasco. (2013). From Peptides to Small Molecules: An Intriguing but Intricated Way to New Drugs. Current Medicinal Chemistry. 20(31). 3803–3817. 37 indexed citations
7.
D’Intino, Giulia, Luca Lorenzini, Mercedes Fernández, et al.. (2011). Triiodothyronine Administration Ameliorates the Demyelination/Remyelination Ratio in a Non-Human Primate Model of Multiple Sclerosis by Correcting Tissue Hypothyroidism. Journal of Neuroendocrinology. 23(9). 778–790. 37 indexed citations
8.
Gallo, Pasquale, Serena Fabbrocino, Geraldine Dowling, et al.. (2010). Confirmatory analysis of non-steroidal anti-inflammatory drugs in bovine milk by high-performance liquid chromatography with fluorescence detection. Journal of Chromatography A. 1217(17). 2832–2839. 57 indexed citations
9.
Marasco, Daniela, et al.. (2008). Past and Future Perspectives of Synthetic Peptide Libraries. Current Protein and Peptide Science. 9(5). 447–467. 57 indexed citations
10.
Roviello, Giovanni N., Domenica Musumeci, Maria Moccia, et al.. (2007). dabPna: Design, Synthesis, And Dna Binding Studies. Nucleosides Nucleotides & Nucleic Acids. 26(10-12). 1307–1310. 29 indexed citations
11.
Roviello, Giovanni N., Maria Moccia, Enrico Bucci, et al.. (2006). Synthesis, characterization and hybridization studies of new nucleo‐γ‐peptides based on diaminobutyric acid. Journal of Peptide Science. 12(12). 829–835. 26 indexed citations
12.
D’Intino, Giulia, G. Perretta, Alessandra Taglioni, et al.. (2006). Endogenous stem and precursor cells for demyelinating diseases: an alternative for transplantation?. Neurological Research. 28(5). 513–517. 6 indexed citations
13.
Zaccaro, Laura, Enrico Bucci, Rosa Maria Vitale, et al.. (2003). Synthetic peptides mimicking the interleukin‐6/gp 130 interaction: a two‐helix bundle system. Design and conformational studies. Journal of Peptide Science. 9(2). 90–105. 1 indexed citations
14.
Carere, Claudio, Rita Casetti, Luigi De Acetis, et al.. (1999). Behavioural and nociceptive response in male and female spiny mice (Acomys cahirinus) upon exposure to snake odour. Behavioural Processes. 47(1). 1–10. 24 indexed citations
15.
16.
Schino, Gabriele, et al.. (1996). Primate displacement activities as an ethopharmacological model of anxiety. 2(4). 186–191. 156 indexed citations
17.
Tocci, Angelo, G Menichella, G. Perretta, et al.. (1994). Fetal Tissue Collection from Spontaneous Abortions: A Report from a Single Centre. Fetal Diagnosis and Therapy. 9(3). 204–208. 3 indexed citations
18.
Perretta, G., et al.. (1993). The Neuropathology of Trimethyltin in the Marmoset (Callithrix jacchus) Hippocampal Formation. Ecotoxicology and Environmental Safety. 26(3). 293–301. 5 indexed citations
19.
Colosimo, Cesare, et al.. (1992). Chronic administration of MPTP to monkeys: Behavioural morphological and biochemical correlates. Neurochemistry International. 20. 279–285. 8 indexed citations
20.
Carli, S., et al.. (1982). Serum levels, tissue distribution and residues of neomycin following intramuscular administration in chicks. Journal of Veterinary Pharmacology and Therapeutics. 5(3). 203–207. 3 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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