Daniela Rinaudo

827 total citations
8 papers, 241 citations indexed

About

Daniela Rinaudo is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Daniela Rinaudo has authored 8 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Epidemiology. Recurrent topics in Daniela Rinaudo's work include Streptococcal Infections and Treatments (3 papers), Neonatal and Maternal Infections (3 papers) and Virus-based gene therapy research (2 papers). Daniela Rinaudo is often cited by papers focused on Streptococcal Infections and Treatments (3 papers), Neonatal and Maternal Infections (3 papers) and Virus-based gene therapy research (2 papers). Daniela Rinaudo collaborates with scholars based in Italy, Denmark and Belgium. Daniela Rinaudo's co-authors include Carlo Toniatti, Stefania Lamartina, Giuseppe Roscilli, Gennaro Ciliberto, Paola Delmastro, Guido Grandi, Roberto Rosini, Marco Soriani, Alfredo Pezzicoli and Peter Lauer and has published in prestigious journals such as PLoS ONE, Journal of Virology and The FASEB Journal.

In The Last Decade

Daniela Rinaudo

8 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Rinaudo Italy	6	124	91	76	47	36	8	241
Christopher C. Yoo United States	5	209 1.7×	16 0.2×	37 0.5×	40 0.9×	68 1.9×	6	336
Kelly Robinson United States	7	191 1.5×	30 0.3×	9 0.1×	31 0.7×	35 1.0×	8	305
Alexander G. Allen United States	10	228 1.8×	52 0.6×	53 0.7×	35 0.7×	46 1.3×	16	295
Bruna F.M.M. Porchia Brazil	10	146 1.2×	25 0.3×	42 0.6×	55 1.2×	57 1.6×	13	316
Dominique McCormick United Kingdom	7	97 0.8×	28 0.3×	18 0.2×	59 1.3×	31 0.9×	8	192
Anna Lengyel Hungary	9	160 1.3×	174 1.9×	8 0.1×	28 0.6×	57 1.6×	69	270
James V. Rago United States	8	89 0.7×	22 0.2×	34 0.4×	42 0.9×	133 3.7×	10	276
Sabrina Wildner Austria	9	97 0.8×	20 0.2×	12 0.2×	116 2.5×	23 0.6×	12	333
Xuanxuan Nian China	7	108 0.9×	53 0.6×	7 0.1×	62 1.3×	40 1.1×	18	223
Blake E. Sanders United States	5	189 1.5×	8 0.1×	41 0.5×	35 0.7×	69 1.9×	7	291

Countries citing papers authored by Daniela Rinaudo

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Rinaudo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Rinaudo

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

All Works

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8 of 8 papers shown

Efstratiou, Androulla, Uffe B. Skov Sørensen, Roberta Creti, et al.. (2024). Maternal Streptococcus agalactiae colonization in Europe: data from the multi-center DEVANI study. Infection. 53(1). 373–381. 4 indexed citations

Veggi, Daniele, Martina Audagnotto, Giovanna Tuscano, et al.. (2023). Computational structure‐based approach to study chimeric antigens using a new protein scaffold displaying foreign epitopes. The FASEB Journal. 38(1). e23326–e23326. 1 indexed citations

Rosini, Roberto, Matteo De Chiara, Hervé Tettelin, et al.. (2015). Genomic Analysis Reveals the Molecular Basis for Capsule Loss in the Group B Streptococcus Population. PLoS ONE. 10(5). e0125985–e0125985. 32 indexed citations

Pezzicoli, Alfredo, Isabella Santi, Peter Lauer, et al.. (2008). Pilus Backbone Contributes to Group BStreptococcusParacellular Translocation through Epithelial Cells. The Journal of Infectious Diseases. 198(6). 890–898. 58 indexed citations

Mennuni, Carmela, Immacolata Zampaglione, Gabriella Rizzuto, et al.. (2002). Hyaluronidase Increases Electrogene Transfer Efficiency in Skeletal Muscle. Human Gene Therapy. 13(3). 355–365. 53 indexed citations

Rinaudo, Daniela & Carlo Toniatti. (2000). Sensitive ELISA for Mouse Erythropoietin. BioTechniques. 29(2). 218–220. 20 indexed citations

Rinaudo, Daniela, Stefania Lamartina, Giuseppe Roscilli, Gennaro Ciliberto, & Carlo Toniatti. (2000). Conditional Site-Specific Integration into Human Chromosome 19 by Using a Ligand-Dependent Chimeric Adeno-Associated Virus/Rep Protein. Journal of Virology. 74(1). 281–294. 24 indexed citations

Lamartina, Stefania, Giuseppe Roscilli, Daniela Rinaudo, Paola Delmastro, & Carlo Toniatti. (1998). Lipofection of Purified Adeno-Associated Virus Rep68 Protein: toward a Chromosome-Targeting Nonviral Particle. Journal of Virology. 72(9). 7653–7658. 49 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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