Paolo De Bona

794 total citations
16 papers, 665 citations indexed

About

Paolo De Bona is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Paolo De Bona has authored 16 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Physiology and 3 papers in Pharmacology. Recurrent topics in Paolo De Bona's work include Alzheimer's disease research and treatments (7 papers), Protein Structure and Dynamics (5 papers) and DNA Repair Mechanisms (3 papers). Paolo De Bona is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Protein Structure and Dynamics (5 papers) and DNA Repair Mechanisms (3 papers). Paolo De Bona collaborates with scholars based in Italy, United States and Hungary. Paolo De Bona's co-authors include Giuseppe Pappalardo, Enrico Rizzarelli, Filippo Caraci, Maria Laura Giuffrida, Agata Copani, Ferdinando Nicoletti, Sebastiano Cataldo, Bruno Pignataro, Valeria Bruno and Angela Messina and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Paolo De Bona

16 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo De Bona Italy 11 504 314 160 121 98 16 665
Sungsu Lim South Korea 15 345 0.7× 280 0.9× 113 0.7× 68 0.6× 122 1.2× 39 684
Janine Kutzsche Germany 16 419 0.8× 380 1.2× 123 0.8× 137 1.1× 71 0.7× 46 671
Mikael K. Gustavsson Sweden 16 757 1.5× 406 1.3× 163 1.0× 167 1.4× 118 1.2× 19 1.0k
Ann‐Christin Brorsson Sweden 14 448 0.9× 393 1.3× 129 0.8× 103 0.9× 76 0.8× 27 697
Alfred T. Welzel Ireland 9 639 1.3× 271 0.9× 187 1.2× 162 1.3× 183 1.9× 13 806
Sam Lismont Belgium 9 740 1.5× 481 1.5× 222 1.4× 189 1.6× 152 1.6× 12 917
Mariagioia Zampagni Italy 14 675 1.3× 688 2.2× 89 0.6× 97 0.8× 111 1.1× 16 1.1k
Youssra K. Al‐Hilaly United Kingdom 15 581 1.2× 479 1.5× 99 0.6× 72 0.6× 147 1.5× 29 892
Asad Jan Denmark 15 684 1.4× 508 1.6× 171 1.1× 157 1.3× 120 1.2× 32 1.1k
Gabriela A. N. Crespi Australia 9 390 0.8× 196 0.6× 122 0.8× 149 1.2× 44 0.4× 16 509

Countries citing papers authored by Paolo De Bona

Since Specialization
Citations

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

Fields of papers citing papers by Paolo De Bona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paolo De Bona. 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 Paolo De Bona. The network helps show where Paolo De Bona may publish in the future.

Co-authorship network of co-authors of Paolo De Bona

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

All Works

16 of 16 papers shown
1.
Mahoney, Matthew, Vishnu C. Damalanka, Paolo De Bona, et al.. (2024). Use of protease substrate specificity screening in the rational design of selective protease inhibitors with unnatural amino acids: Application to HGFA, matriptase, and hepsin. Protein Science. 33(8). e5110–e5110. 4 indexed citations
2.
Damalanka, Vishnu C., Paolo De Bona, M.M. Kashipathy, et al.. (2024). Mechanism-Based Macrocyclic Inhibitors of Serine Proteases. Journal of Medicinal Chemistry. 67(6). 4833–4854. 4 indexed citations
3.
Soranno, Andrea, J. Jeremías Incicco, Paolo De Bona, et al.. (2022). Shelterin Components Modulate Nucleic Acids Condensation and Phase Separation in the Context of Telomeric DNA. Journal of Molecular Biology. 434(16). 167685–167685. 15 indexed citations
4.
Bona, Paolo De, et al.. (2019). The telomere-binding protein Rif2 and ATP-bound Rad50 have opposing roles in the activation of yeast Tel1ATM kinase. Journal of Biological Chemistry. 294(49). 18846–18852. 18 indexed citations
5.
Singh, Saurabh, Vandna Kukshal, Paolo De Bona, Edwin Antony, & Roberto Galletto. (2018). The mitochondrial single-stranded DNA binding protein from S. cerevisiae, Rim1, does not form stable homo-tetramers and binds DNA as a dimer of dimers. Nucleic Acids Research. 46(14). 7193–7205. 9 indexed citations
6.
Sinopoli, Alessandro, Alessandro Giuffrida, Marianna Flora Tomasello, et al.. (2016). Ac‐LPFFD‐Th: A Trehalose‐Conjugated Peptidomimetic as a Strong Suppressor of Amyloid‐β Oligomer Formation and Cytotoxicity. ChemBioChem. 17(16). 1541–1549. 31 indexed citations
7.
Bona, Paolo De, et al.. (2015). The Wrapping Loop and Rap1 C-terminal (RCT) Domain of Yeast Rap1 Modulate Access to Different DNA Binding Modes. Journal of Biological Chemistry. 290(18). 11455–11466. 10 indexed citations
8.
Attanasio, Francesco, Paolo De Bona, Sebastiano Cataldo, et al.. (2013). Copper(ii) and zinc(ii) dependent effects on Aβ42 aggregation: a CD, Th-T and SFM study. New Journal of Chemistry. 37(4). 1206–1206. 18 indexed citations
9.
Bona, Paolo De, et al.. (2011). Structural studies of a signal peptide in complex with signal peptidase I cytoplasmic domain: The stabilizing effect of membrane‐mimetics on the acquired fold. Proteins Structure Function and Bioinformatics. 80(3). 807–817. 7 indexed citations
10.
Kállay, Csilla, E Nagy, Daniele Sanna, et al.. (2011). Copper(ii) complexes of rat amylin fragments. Dalton Transactions. 40(38). 9711–9711. 21 indexed citations
11.
Giuffrida, Maria Laura, Filippo Caraci, Paolo De Bona, et al.. (2010). The Monomer State of Beta-Amyloid: Where the Alzheimer's Disease Protein Meets Physiology. Reviews in the Neurosciences. 21(2). 83–93. 79 indexed citations
12.
Kállay, Csilla, Giuseppe Pappalardo, Giuseppe Di Natale, et al.. (2010). Nickel(II) complexes of the multihistidine peptide fragments of human prion protein. Journal of Inorganic Biochemistry. 104(8). 885–891. 29 indexed citations
13.
Ösz, Katalin, Csilla Kállay, Paolo De Bona, et al.. (2010). Nickel(ii) and mixed metal complexes of amyloid-β N-terminus. Dalton Transactions. 39(30). 7046–7046. 27 indexed citations
14.
Kállay, Csilla, Zoltán Nagy, Daniele Sanna, et al.. (2010). The effect of point mutations on copper(II) complexes with peptide fragments encompassing the 106–114 region of human prion protein. Monatshefte für Chemie - Chemical Monthly. 142(4). 411–419. 18 indexed citations
15.
Giuffrida, Maria Laura, Filippo Caraci, Bruno Pignataro, et al.. (2009). β-Amyloid Monomers Are Neuroprotective. Journal of Neuroscience. 29(34). 10582–10587. 336 indexed citations
16.
Bona, Paolo De, Maria Laura Giuffrida, Filippo Caraci, et al.. (2009). Design and synthesis of new trehalose‐conjugated pentapeptides as inhibitors of Aβ(1–42) fibrillogenesis and toxicity. Journal of Peptide Science. 15(3). 220–228. 39 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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