Giulia Praticò

1.6k total citations
30 papers, 1.1k citations indexed

About

Giulia Praticò is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Giulia Praticò has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Public Health, Environmental and Occupational Health and 7 papers in Physiology. Recurrent topics in Giulia Praticò's work include Nutritional Studies and Diet (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Diet and metabolism studies (4 papers). Giulia Praticò is often cited by papers focused on Nutritional Studies and Diet (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Diet and metabolism studies (4 papers). Giulia Praticò collaborates with scholars based in Italy, Denmark and Spain. Giulia Praticò's co-authors include Lars Ove Dragsted, Alfredo Miccheli, Mar Garcia‐Aloy, Claudine Manach, Qian Gao, Giorgio Capuani, Cristina Andrés‐Lacueva, Alberta Tomassini, Guy Vergères and David S. Wishart and has published in prestigious journals such as Blood, PLoS ONE and International Journal of Obesity.

In The Last Decade

Giulia Praticò

29 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
Giulia Praticò Italy 20 577 400 269 220 200 30 1.1k
Jacqueline Barona Colombia 21 347 0.6× 314 0.8× 261 1.0× 145 0.7× 310 1.6× 34 1.3k
Marina Liso Italy 21 412 0.7× 97 0.2× 159 0.6× 136 0.6× 135 0.7× 42 1.2k
Linette Pellis Netherlands 13 631 1.1× 116 0.3× 417 1.6× 145 0.7× 159 0.8× 18 1.2k
Dorothy A. Kieffer United States 15 664 1.2× 94 0.2× 505 1.9× 265 1.2× 60 0.3× 22 1.2k
Yolanda M. Pacheco Spain 25 254 0.4× 149 0.4× 234 0.9× 318 1.4× 60 0.3× 84 1.7k
Javad Mohtadinia Iran 12 686 1.2× 138 0.3× 416 1.5× 287 1.3× 171 0.9× 27 1.3k
Mette Axelsen Denmark 13 199 0.3× 522 1.3× 668 2.5× 827 3.8× 106 0.5× 21 1.8k
Moises Torres‐Gonzalez United States 17 536 0.9× 248 0.6× 294 1.1× 287 1.3× 102 0.5× 36 1.3k
Jennifer M. Monk Canada 27 622 1.1× 121 0.3× 360 1.3× 636 2.9× 126 0.6× 72 1.7k
Niamh O’Kennedy United Kingdom 13 269 0.5× 76 0.2× 78 0.3× 151 0.7× 129 0.6× 20 815

Countries citing papers authored by Giulia Praticò

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Praticò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Praticò

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Praticò. A scholar is included among the top collaborators of Giulia Praticò 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 Giulia Praticò. Giulia Praticò 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.
Alati, Caterina, Maria Caterina Micò, Giulia Praticò, et al.. (2024). Optimizing maintenance therapy in acute myeloid leukemia: where do we stand in the year 2024?. Expert Review of Hematology. 17(8). 515–525. 2 indexed citations
2.
Vázquez-Manjarrez, Natalia, Marynka Ulaszewska, Mar Garcia‐Aloy, et al.. (2020). Biomarkers of intake for tropical fruits. Genes & Nutrition. 15(1). 11–11. 26 indexed citations
3.
Praticò, Giulia, Flemming H. Larsen, Thomas Skov, et al.. (2019). Fast measurement of phosphates and ammonium in fermentation-like media: A feasibility study. New Biotechnology. 56. 54–62. 11 indexed citations
4.
Pekmez, Ceyda Tuğba, et al.. (2019). Pre-meal protein intake alters postprandial plasma metabolome in subjects with metabolic syndrome. European Journal of Nutrition. 59(5). 1881–1894. 6 indexed citations
5.
Praticò, Giulia, Lieselot Hemeryck, P.S.C. Sri Harsha, et al.. (2019). Biomarkers of meat and seafood intake: an extensive literature review. Genes & Nutrition. 14(1). 35–35. 74 indexed citations
6.
Praticò, Giulia, Qian Gao, Augustin Scalbert, et al.. (2018). Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery. Genes & Nutrition. 13(1). 3–3. 50 indexed citations
7.
Praticò, Giulia, Qian Gao, Claudine Manach, & Lars Ove Dragsted. (2018). Biomarkers of food intake for Allium vegetables. Genes & Nutrition. 13(1). 34–34. 22 indexed citations
8.
Rothwell, Joseph A., Francisco Madrid-Gambín, Mar Garcia‐Aloy, et al.. (2018). Biomarkers of intake for coffee, tea, and sweetened beverages. Genes & Nutrition. 13(1). 15–15. 48 indexed citations
9.
Ulaszewska, Marynka, Natalia Vázquez-Manjarrez, Mar Garcia‐Aloy, et al.. (2018). Food intake biomarkers for apple, pear, and stone fruit. Genes & Nutrition. 13(1). 29–29. 62 indexed citations
10.
Münger, Linda H., Mar Garcia‐Aloy, Rosa Vázquez‐Fresno, et al.. (2018). Biomarker of food intake for assessing the consumption of dairy and egg products. Genes & Nutrition. 13(1). 26–26. 44 indexed citations
11.
Dragsted, Lars Ove, Qian Gao, Guy Vergères, et al.. (2018). Validation of biomarkers of food intake—critical assessment of candidate biomarkers. Genes & Nutrition. 13(1). 14–14. 160 indexed citations
12.
13.
Brasili, Elisa, Alfredo Miccheli, Federico Marini, et al.. (2016). Metabolic Profile and Root Development of Hypericum perforatum L. In vitro Roots under Stress Conditions Due to Chitosan Treatment and Culture Time. Frontiers in Plant Science. 7. 507–507. 20 indexed citations
14.
Miccheli, Alfredo, Giorgio Capuani, Federico Marini, et al.. (2015). Urinary 1H-NMR-based metabolic profiling of children with NAFLD undergoing VSL#3 treatment. International Journal of Obesity. 39(7). 1118–1125. 54 indexed citations
15.
Chierico, Federica Del, Pamela Vernocchi, Andrea Petrucca, et al.. (2015). Phylogenetic and Metabolic Tracking of Gut Microbiota during Perinatal Development. PLoS ONE. 10(9). e0137347–e0137347. 81 indexed citations
16.
Brasili, Elisa, Giulia Praticò, Federico Marini, et al.. (2014). A non-targeted metabolomics approach to evaluate the effects of biomass growth and chitosan elicitation on primary and secondary metabolism of Hypericum perforatum in vitro roots. Metabolomics. 10(6). 1186–1196. 32 indexed citations
17.
Calvani, Riccardo, Elisa Brasili, Giulia Praticò, et al.. (2013). Fecal and urinary NMR-based metabolomics unveil an aging signature in mice. Experimental Gerontology. 49. 5–11. 56 indexed citations
18.
Olíva, Esther Natalie, Francesca Ronco, Antonio Marino, et al.. (2010). Iron chelation therapy associated with improvement of hematopoiesis in transfusion‐dependent patients. Transfusion. 50(7). 1568–1570. 60 indexed citations
19.
Martino, Massimo, Giulia Praticò, Giuseppe Messina, et al.. (2006). Pegfilgrastim compared with filgrastim after high‐dose melphalan and autologous hematopoietic peripheral blood stem cell transplantation in multiple myeloma patients. European Journal Of Haematology. 77(5). 410–415. 31 indexed citations
20.

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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