A. Di Giulio

1.6k total citations
62 papers, 1.4k citations indexed

About

A. Di Giulio is a scholar working on Molecular Biology, Microbiology and Organic Chemistry. According to data from OpenAlex, A. Di Giulio has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Microbiology and 7 papers in Organic Chemistry. Recurrent topics in A. Di Giulio's work include Lipid Membrane Structure and Behavior (15 papers), Antimicrobial Peptides and Activities (14 papers) and RNA Interference and Gene Delivery (6 papers). A. Di Giulio is often cited by papers focused on Lipid Membrane Structure and Behavior (15 papers), Antimicrobial Peptides and Activities (14 papers) and RNA Interference and Gene Delivery (6 papers). A. Di Giulio collaborates with scholars based in Italy, Czechia and Netherlands. A. Di Giulio's co-authors include Andrea C. Rinaldi, Argante Bozzi, Maria Luisa Mangoni, Donatella Barra, Maurizio Simmaco, A Oratore, Paavo K.J. Kinnunen, Hongxia Zhao, Massimiliano Aschi and Andrea Giuliani and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biochemistry.

In The Last Decade

A. Di Giulio

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Di Giulio Italy 19 858 801 278 186 81 62 1.4k
Bengt Erik Haug Norway 22 1.2k 1.4× 993 1.2× 261 0.9× 425 2.3× 82 1.0× 55 1.8k
Dagmar Zweytick Austria 19 1.9k 2.2× 767 1.0× 263 0.9× 173 0.9× 135 1.7× 37 2.4k
Diana Gaspar Portugal 20 1.5k 1.7× 1.0k 1.3× 235 0.8× 305 1.6× 90 1.1× 32 2.0k
Jarbas M. Resende Brazil 20 613 0.7× 456 0.6× 81 0.3× 248 1.3× 44 0.5× 53 1.2k
Emilia Sikorska Poland 18 578 0.7× 339 0.4× 120 0.4× 152 0.8× 99 1.2× 76 1.1k
Bangzhi Zhang China 28 950 1.1× 746 0.9× 187 0.7× 658 3.5× 78 1.0× 61 1.9k
Maryam M. Javadpour United States 9 651 0.8× 249 0.3× 88 0.3× 68 0.4× 152 1.9× 10 1.0k
James Blake United States 27 1.1k 1.3× 172 0.2× 419 1.5× 365 2.0× 42 0.5× 79 1.9k
Patrick Vlieghe France 9 1.1k 1.2× 315 0.4× 123 0.4× 296 1.6× 31 0.4× 13 1.5k
D.M. Brown United States 13 584 0.7× 327 0.4× 167 0.6× 53 0.3× 67 0.8× 21 968

Countries citing papers authored by A. Di Giulio

Since Specialization
Citations

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

Fields of papers citing papers by A. Di Giulio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Di Giulio. 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 A. Di Giulio. The network helps show where A. Di Giulio may publish in the future.

Co-authorship network of co-authors of A. Di Giulio

This figure shows the co-authorship network connecting the top 25 collaborators of A. Di Giulio. A scholar is included among the top collaborators of A. Di Giulio 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 A. Di Giulio. A. Di Giulio 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.
2.
Masedu, Francesco, et al.. (2012). Resistance training and protein intake : muscular mass and volume variations in amateur bodybuilders. International sportmed journal for FIMS. 13(2). 58–68.
3.
Rinaldi, Andrea C., Vincenzo Luca, Donatella Barra, et al.. (2011). Membrane interaction and antibacterial properties of two mildly cationic peptide diastereomers, bombinins H2 and H4, isolated from Bombina skin. European Biophysics Journal. 40(4). 577–588. 31 indexed citations
4.
Lizzi, Anna Rita, et al.. (2009). Lactoferrin Derived Peptides: Mechanisms of Action and their Perspectives as Antimicrobial and Antitumoral Agents. Mini-Reviews in Medicinal Chemistry. 9(6). 687–695. 24 indexed citations
5.
Giuliani, Andrea, et al.. (2008). Antimicrobial peptides: natural templates for synthetic membrane-active compounds. Cellular and Molecular Life Sciences. 65(16). 2450–2460. 152 indexed citations
6.
Giulio, A. Di & Alessandra Bonamore. (2008). Globin Interactions with Lipids and Membranes. Methods in enzymology on CD-ROM/Methods in enzymology. 436. 239–253. 9 indexed citations
7.
Carnicelli, Veronica, A. Di Giulio, Argante Bozzi, Roberto Ström, & A Oratore. (2006). Zidovudine Inhibits Protein Kinase C Activity in Human Chronic Myeloid (K562) Cells. Basic & Clinical Pharmacology & Toxicology. 99(4). 317–322. 3 indexed citations
8.
Gualtieri, G. J., et al.. (2004). Improvements in technical assessment and protocol for EPR evaluation of magnetic fields effects on a radical pair reaction. Biophysical Chemistry. 114(2-3). 149–155. 3 indexed citations
9.
10.
Mangoni, Maria Luisa, Andrea C. Rinaldi, A. Di Giulio, et al.. (2000). Structure–function relationships of temporins, small antimicrobialpeptides from amphibian skin. European Journal of Biochemistry. 267(5). 1447–1454. 148 indexed citations
11.
Franceschini, Nicola, et al.. (2000). [Leukocyanidines and collagenases: in vitro enzyme inhibition activity].. PubMed. 150(4). 275–8. 2 indexed citations
12.
Franceschini, Nicola, et al.. (1999). Meloxicam and Indomethacin Activity on Human Matrix Metalloproteinases in Synovial Fluid. Annals of the New York Academy of Sciences. 878(1). 665–666. 7 indexed citations
13.
Dini, Luciana, et al.. (1998). Interaction between isolated and purified liver cells and small unilamellar liposomes. Liver International. 18(4). 229–238. 10 indexed citations
14.
Giulio, A. Di, et al.. (1994). The binding of human serum transferrin to its specific receptor reconstituted into liposomes. Cellular Signalling. 6(1). 83–90. 5 indexed citations
15.
Maccarrone, Mauro, Luciana Dini, Luisa Di Marzio, et al.. (1992). Interaction of DNA with cationic liposomes: Ability of transfecting lentil protoplasts. Biochemical and Biophysical Research Communications. 186(3). 1417–1422. 22 indexed citations
16.
Sartori, Claudia, et al.. (1992). Liver peroxisomes in newborns from clofibrate‐treated rats. II. A biochemical study of the recovery period. Biology of the Cell. 74(3). 315–324. 13 indexed citations
17.
Dini, Luciana, A. Di Giulio, Antonio Pavan, Giampietro Ravagnan, & Giuseppe Mossa. (1991). Size and stability of dipalmitoylphosphatidylcholine/cholesterol unilamellar vesicles are affected by interaction with proteins. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1062(1). 108–112. 15 indexed citations
18.
Ciancarelli, Maria Giuliana Tozzi, et al.. (1989). Human erythrocyte damage at the initial stages of oxidative stress. Cell Biochemistry and Biophysics. 15(3). 225–234. 22 indexed citations
19.
Tozzi, E., et al.. (1989). In vitro and in vivo Effects of Erythrocyte Phototherapy on Newborns. Neonatology. 56(4). 204–209. 25 indexed citations
20.
Giulio, A. Di, et al.. (1989). The ultraviolet derivative spectrophotometric determination of neutral liposome-entrapped β-lactam antibiotics. Journal of Pharmaceutical and Biomedical Analysis. 7(10). 1159–1164. 6 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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