Patrizia Bernini

980 total citations
9 papers, 730 citations indexed

About

Patrizia Bernini is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Patrizia Bernini has authored 9 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Patrizia Bernini's work include Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (2 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). Patrizia Bernini is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (2 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). Patrizia Bernini collaborates with scholars based in Italy and United States. Patrizia Bernini's co-authors include Ivano Bertini, Claudio Luchinat, Leonardo Tenori, Samuele Staderini, Paola Turano, Edoardo Saccenti, Birk Schütz, Catherine Oakman, Hartmut Schäfer and Laura Biganzoli and has published in prestigious journals such as PLoS ONE, Annals of Oncology and Journal of Proteome Research.

In The Last Decade

Patrizia Bernini

9 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrizia Bernini Italy 8 522 104 103 102 86 9 730
Panagiotis A. Vorkas United Kingdom 17 672 1.3× 288 2.8× 77 0.7× 180 1.8× 96 1.1× 32 950
Tomoo Yoshie Japan 12 772 1.5× 296 2.8× 107 1.0× 115 1.1× 121 1.4× 19 1.1k
Bowen Li China 15 372 0.7× 110 1.1× 126 1.2× 58 0.6× 123 1.4× 35 686
Claire Cannet Germany 13 342 0.7× 58 0.6× 71 0.7× 49 0.5× 56 0.7× 25 527
Ming Jin China 14 201 0.4× 52 0.5× 39 0.4× 33 0.3× 52 0.6× 48 596
Konstantin Seferiadis Greece 12 268 0.5× 37 0.4× 90 0.9× 30 0.3× 61 0.7× 22 553
Maija Parkkonen Finland 13 264 0.5× 38 0.4× 76 0.7× 27 0.3× 96 1.1× 21 661
Erwin Garcia United States 18 400 0.8× 43 0.4× 359 3.5× 48 0.5× 151 1.8× 44 890
Jason L. Walther United States 10 627 1.2× 134 1.3× 55 0.5× 118 1.2× 22 0.3× 11 862
Jason H. Winnike United States 11 266 0.5× 54 0.5× 89 0.9× 64 0.6× 61 0.7× 18 430

Countries citing papers authored by Patrizia Bernini

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Bernini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Bernini

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

All Works

9 of 9 papers shown
1.
Gabbani, Tommaso, Maria De Marsico, Patrizia Bernini, et al.. (2017). Metabolomic analysis with 1 H-NMR for non-invasive diagnosis of hepatic fibrosis degree in patients with chronic hepatitis C. Digestive and Liver Disease. 49(12). 1338–1344. 6 indexed citations
2.
Stellavato, Antonietta, Luisana Corsuto, Antonella D’Agostino, et al.. (2016). Hyaluronan Hybrid Cooperative Complexes as a Novel Frontier for Cellular Bioprocesses Re-Activation. PLoS ONE. 11(10). e0163510–e0163510. 50 indexed citations
3.
Tenori, Leonardo, Catherine Oakman, Wederson M. Claudino, et al.. (2012). Exploration of serum metabolomic profiles and outcomes in women with metastatic breast cancer: A pilot study. Molecular Oncology. 6(4). 437–444. 71 indexed citations
4.
Bernini, Patrizia, et al.. (2011). Standard operating procedures for pre-analytical handling of blood and urine for metabolomic studies and biobanks. Journal of Biomolecular NMR. 49(3-4). 231–243. 236 indexed citations
6.
Bernini, Patrizia, et al.. (2011). The Cardiovascular Risk of Healthy Individuals Studied by NMR Metabonomics of Plasma Samples. Journal of Proteome Research. 10(11). 4983–4992. 61 indexed citations
7.
Bernini, Patrizia, Ivano Bertini, Antonello Calabrò, et al.. (2010). Are Patients with Potential Celiac Disease Really Potential? The Answer of Metabonomics. Journal of Proteome Research. 10(2). 714–721. 57 indexed citations
8.
Travagli, Valter, et al.. (2010). Effects of Ozone Blood Treatment on the Metabolite Profile of Human Blood. International Journal of Toxicology. 29(2). 165–174. 53 indexed citations
9.
Bernini, Patrizia, Ivano Bertini, Claudio Luchinat, et al.. (2009). Individual Human Phenotypes in Metabolic Space and Time. Journal of Proteome Research. 8(9). 4264–4271. 112 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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