Raffaele Ragone

1.5k total citations
75 papers, 1.2k citations indexed

About

Raffaele Ragone is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Raffaele Ragone has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 19 papers in Materials Chemistry and 8 papers in Spectroscopy. Recurrent topics in Raffaele Ragone's work include Enzyme Structure and Function (19 papers), Protein Structure and Dynamics (18 papers) and Prion Diseases and Protein Misfolding (9 papers). Raffaele Ragone is often cited by papers focused on Enzyme Structure and Function (19 papers), Protein Structure and Dynamics (18 papers) and Prion Diseases and Protein Misfolding (9 papers). Raffaele Ragone collaborates with scholars based in Italy, United States and Russia. Raffaele Ragone's co-authors include Giovanni Colonna, Gaetano Irace, Luigi Servillo, Ciro Balestrieri, Pasquale Palladino, Antonio Facchiano, Filomena Rossi, Angelo Facchiano, Francesco Facchiano and Luigi Ambrosone and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Raffaele Ragone

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raffaele Ragone Italy 18 703 205 124 109 94 75 1.2k
A. Dong Malaysia 8 789 1.1× 166 0.8× 80 0.6× 138 1.3× 63 0.7× 13 1.3k
Henry A. Havel United States 21 650 0.9× 276 1.3× 164 1.3× 156 1.4× 47 0.5× 36 1.3k
Franck Sureau France 26 877 1.2× 225 1.1× 110 0.9× 74 0.7× 60 0.6× 59 1.7k
Marek Langner Poland 25 1.4k 2.0× 147 0.7× 227 1.8× 141 1.3× 123 1.3× 95 2.1k
Hyun Joo United States 22 1.0k 1.5× 101 0.5× 260 2.1× 102 0.9× 143 1.5× 68 2.0k
Ahmad Salahuddin India 16 702 1.0× 210 1.0× 104 0.8× 99 0.9× 80 0.9× 76 1.0k
Oktay K. Gasymov United States 21 677 1.0× 107 0.5× 156 1.3× 105 1.0× 154 1.6× 57 1.4k
Amar B. T. Ghisaidoobe Netherlands 8 530 0.8× 130 0.6× 194 1.6× 66 0.6× 79 0.8× 11 878
Purnananda Guptasarma India 18 766 1.1× 241 1.2× 77 0.6× 78 0.7× 163 1.7× 74 1.2k
Tadayasu Ohkubo Japan 29 1.5k 2.1× 168 0.8× 155 1.3× 93 0.9× 124 1.3× 104 2.1k

Countries citing papers authored by Raffaele Ragone

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Ragone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Ragone

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Ragone. A scholar is included among the top collaborators of Raffaele Ragone 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 Raffaele Ragone. Raffaele Ragone 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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Faiella, Eliodoro, Raffaele Ragone, Claudia Lucia Piccolo, et al.. (2023). Can Machine Learning Models Detect and Predict Lymph Node Involvement in Prostate Cancer? A Comprehensive Systematic Review. Journal of Clinical Medicine. 12(22). 7032–7032. 7 indexed citations
4.
Prevete, Nella, Francesca Wanda Rossi, Massimo Triggiani, et al.. (2009). Antiapoptotic Seminal Vesicle Protein IV Induces Histamine Release from Human FcεRI+ Cells. International Archives of Allergy and Immunology. 151(4). 318–330. 2 indexed citations
5.
Ronga, Luisa, Pasquale Palladino, Gabriella Saviano, et al.. (2008). Structural characterization of a neurotoxic threonine‐rich peptide corresponding to the human prion protein α2‐helical 180–195 segment, and comparison with full‐length α2‐helix‐derived peptides. Journal of Peptide Science. 14(10). 1096–1102. 10 indexed citations
6.
Vilasi, Silvia & Raffaele Ragone. (2008). Abundance of intrinsic disorder in SV‐IV, a multifunctional androgen‐dependent protein secreted from rat seminal vesicle. FEBS Journal. 275(4). 763–774. 6 indexed citations
7.
Ronga, Luisa, Pasquale Palladino, Gabriella Saviano, et al.. (2007). NMR Structure and CD Titration with Metal Cations of Human Prionα2-Helix-Related Peptides. Bioinorganic Chemistry and Applications. 2007. 1–9. 9 indexed citations
8.
Ronga, Luisa, Pasquale Palladino, Raffaele Ragone, et al.. (2006). The prion protein: structural features and related toxic peptides. Chemical Biology & Drug Design. 68(3). 139–147. 9 indexed citations
9.
Palladino, Pasquale, Carlo Pedone, Raffaele Ragone, et al.. (2005). Structural determinants of unexpected agonist activity in a retro‐peptide analogue of the SDF‐1α N‐terminus. FEBS Letters. 579(24). 5293–5298. 3 indexed citations
10.
Luca, Stefania De, Raffaele Ragone, Chiara Bracco, et al.. (2003). A Cyclic CCK8 Analogue Selective for the Cholecystokinin Type A Receptor: Design, Synthesis, NMR Structure and Binding Measurements. ChemBioChem. 4(11). 1176–1187. 15 indexed citations
11.
Micco, B. Di, et al.. (2003). Anti-thrombin action of low-dose acetylsalicylic acid. European Journal of Pharmacology. 460(1). 59–62. 5 indexed citations
12.
Russo, Katia, Raffaele Ragone, Angelo Facchiano, Maurizio C. Capogrossi, & Antonio Facchiano. (2002). Platelet-derived Growth Factor-BB and Basic Fibroblast Growth Factor Directly Interact in Vitro with High Affinity. Journal of Biological Chemistry. 277(2). 1284–1291. 27 indexed citations
13.
Ragone, Raffaele. (2001). Hydrogen‐bonding classes in proteins and their contribution to the unfolding reaction. Protein Science. 10(10). 2075–2082. 47 indexed citations
14.
Ragone, Raffaele, Stefania De Luca, Diego Tesauro, Carlo Pedone, & Giancarlo Morelli. (2000). Fluorescence studies on the binding between 1-47 fragment of cholecystokinin receptor CCKA-R(1-47) and nonsulfated cholecystokinin octapeptide CCK8. Biopolymers. 56(1). 47–53. 12 indexed citations
15.
Stiuso, Paola, Salvatore Metafora, Angelo Facchiano, Giovanni Colonna, & Raffaele Ragone. (1999). The self‐association of protein SV‐IV and its possible functional implications. European Journal of Biochemistry. 266(3). 1029–1035. 11 indexed citations
16.
Facchiano, Francesco, Teodosio Libondi, Paola Stiuso, et al.. (1996). Effect of Galactose on α-Crystallin. Ophthalmic Research. 28(1). 97–100. 3 indexed citations
17.
Ragone, Raffaele & Giovanni Colonna. (1994). Determination of hydrophobic hydration in protein unfolding by an intrinsic reference state. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1208(1). 15–21. 4 indexed citations
18.
Falco, Francesca De, et al.. (1991). Estrogen-progestagen and prostaglandin inhibitors in the treatment of primary dysmenorrhea. 13(2). 87–90. 2 indexed citations
19.
Facchiano, Angelo, Antonio Facchiano, Francesco Facchiano, Raffaele Ragone, & Giovanni Colonna. (1989). FAST (Flexible Analysis by Software Tool) and CHAMP (CHemico-physical AMinoacidic Parameter data bank): a new tool to investigate protein structure. Computer applications in the biosciences. 5(4). 299–303. 3 indexed citations
20.
Ragone, Raffaele, Francesco Facchiano, Antonio Facchiano, & Giovanni Colonna. (1989). Flexibility plot of proteins. Protein Engineering Design and Selection. 2(7). 497–504. 58 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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