Enrico Giampieri

3.0k total citations
48 papers, 817 citations indexed

About

Enrico Giampieri is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Enrico Giampieri has authored 48 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Enrico Giampieri's work include Gene Regulatory Network Analysis (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Nutritional Studies and Diet (4 papers). Enrico Giampieri is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Nutritional Studies and Diet (4 papers). Enrico Giampieri collaborates with scholars based in Italy, Netherlands and United Kingdom. Enrico Giampieri's co-authors include Gastone Castellani, Daniel Remondini, Claudia Sala, Luciano Milanesi, Ettore Mosca, Matteo Bersanelli, Claudio Franceschi, Aurelia Santoro, Ítalo Faria do Valle and Paolo Garagnani and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Enrico Giampieri

45 papers receiving 807 citations

Peers

Countries citing papers authored by Enrico Giampieri

Since Specialization

Citations

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

Fields of papers citing papers by Enrico Giampieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Giampieri

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	NF-kB oscillation profiles decode response to anti-EGFR monoclonal antibodies 2025 ·SLAS DISCOVERY ·Donatella Romaniello, (unknown), (unknown), (unknown), (unknown), (unknown), Gabriele D’Uva, Enrico Giampieri, Mattia Lauriola	1
2	Circulating CXCL9, monocyte percentage, albumin, and C-reactive protein as a potential, non-invasive, molecular signature of carotid artery disease in 65+ patients with multimorbidity: a pilot study in Age.It 2024 ·Frontiers in Endocrinology ·Miriam Capri, (unknown), (unknown), Enrico Giampieri, (unknown), (unknown), (unknown), Maria Conte, Olivieri Fabiola, (unknown), Rodolfo Pini, Andrea Vacirca, Annalisa Astolfi, Francesco Vasuri, Gaetano La Manna, Gianandrea Pasquinelli, Mauro Gargiulo	0
3	Data Science for Health Image Alignment: A User-Friendly Open-Source ImageJ/Fiji Plugin for Aligning Multimodality/Immunohistochemistry/Immunofluorescence 2D Microscopy Images 2024 ·Sensors ·Filippo Piccinini, Marcella Tazzari, Maria Maddalena Tumedei, (unknown), Daniel Remondini, Enrico Giampieri, Giovanni Martinelli, Gastone Castellani, Antonella Carbonaro	5
4	Machine learning for precision diagnostics of autoimmunity 2024 ·Scientific Reports ·(unknown), Raphaël Carapito, Marten Trendelenburg, Thierry Martin, Marta Rizzi, Reinhard Voll, Andrea Cavalli, (unknown), Patrick Meier, Marc Stawiski, (unknown), (unknown), Aurelia Santoro, Miriam Capri, Enrico Giampieri, Erik Schkommodau, Enkelejda Miho	2
5	Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in onco-hematology 2024 ·PLoS Computational Biology ·Daniele Dall’Olio, Eric Sträng, Amin T. Turki, Jesse M. Tettero, (unknown), Renate Schulze‐Rath, (unknown), (unknown), (unknown), (unknown), Claudia Sala, Matteo Giovanni Della Porta, Enrico Giampieri, Jesús María Hernández‐Rivas, Lars Bullinger, Gastone Castellani	1
6	Machine Learning Pipeline for the Automated Prediction of MicrovascularInvasion in HepatocellularCarcinomas 2023 ·Applied Sciences ·(unknown), Matteo Renzulli, Rita Golfieri, (unknown), (unknown), Claudia Sala, Enrico Giampieri, Daniel Remondini, Giulio Vara, (unknown), (unknown), (unknown), Nicolò Brandi, (unknown), (unknown), (unknown), Matteo Cescon, Matteo Ravaioli, Gastone Castellani, Francesca Coppola	2
7	Automated Wound Image Segmentation: Transfer Learning from Human to Pet via Active Semi-Supervised Learning 2023 ·Animals ·(unknown), (unknown), (unknown), (unknown), Claudia Sala, Daniele Dall’Olio, Gastone Castellani, (unknown), (unknown), (unknown), Massimo Giunti, Luciano Pisoni, Enrico Giampieri	1
8	Outcome Prediction for SARS-CoV-2 Patients Using Machine Learning Modeling of Clinical, Radiological, and Radiomic Features Derived from Chest CT Images 2022 ·Applied Sciences ·(unknown), (unknown), Enrico Giampieri, (unknown), (unknown), (unknown), Francesca Coppola, Federica Ciccarese, Giulio Vara, Nicolò Brandi, Rita Golfieri, Michele Bartoletti, Pierluigi Viale, Lidia Strigari	5
9	Effectiveness of Biologically Inspired Neural Network Models in Learning and Patterns Memorization 2022 ·Entropy ·(unknown), (unknown), Enrico Giampieri, Daniel Remondini, Brian S. Blais, Gastone Castellani	3
10	Effectiveness of Semi-Supervised Active Learning in Automated Wound Image Segmentation 2022 ·International Journal of Molecular Sciences ·(unknown), (unknown), Corrado Zengarini, Enrico Giampieri, (unknown), Daniele Dall’Olio, Emanuela Marcelli, Tommaso Bianchi, Gastone Castellani	11
11	Intraspecies characterization of bacteria via evolutionary modeling of protein domains 2022 ·Scientific Reports ·(unknown), Enrico Giampieri, Edoardo Saccenti, María Suárez‐Diez, (unknown), Daniele Dall’Olio, (unknown), (unknown), Daniel Remondini, Gastone Castellani, Claudia Sala	1
12	Classification Performance for COVID Patient Prognosis from Automatic AI Segmentation—A Single-Center Study 2021 ·Applied Sciences ·(unknown), (unknown), Francesca Coppola, Enrico Giampieri, Giulio Vara, Michele Bartoletti, (unknown), (unknown), Federica Ciccarese, Caterina De Benedittis, Laura Cercenelli, Barbara Bortolani, Emanuela Marcelli, Luisa Pierotti, Lidia Strigari, Pierluigi Viale, Rita Golfieri, Gastone Castellani	5
13	A Fully Automated Pipeline for a Robust Conjunctival Hyperemia Estimation 2021 ·Applied Sciences ·(unknown), Enrico Giampieri, (unknown), Federico Bernabei, Laura Cercenelli, Gastone Castellani, Piera Versura, Emanuela Marcelli	7
14	The impact of the COVID-19 pandemic on dermatologic practice: an Italian survey 2021 ·European Journal of Dermatology ·Martina Lambertini, Annalisa Patrizi, Ketty Peris, Giovanni Marasco, Marco Toselli, Emanuela Marcelli, Enrico Giampieri, (unknown), Emi Dika	1
15	A Novel Approach to Improve the Estimation of a Diet Adherence Considering Seasonality and Short Term Variability – The NU-AGE Mediterranean Diet Experience 2019 ·Frontiers in Physiology ·Enrico Giampieri, Rita Ostan, Giulia Guidarelli, Stefano Salvioli, Agnes A. M. Berendsen, Anna Brzozowska, Barbara Pietruszka, Amy Jennings, Nathalie Meunier, Elodie Caumon, Susan J. Fairweather‐Tait, Ewa Sicińska, Edith J. M. Feskens, C.P.G.M. de Groot, Claudio Franceschi, Aurelia Santoro	2
16	Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study 2018 ·Frontiers in Physiology ·Rita Ostan, Giulia Guidarelli, Enrico Giampieri, Catia Lanzarini, Agnes A. M. Berendsen, (unknown), Amy Jennings, (unknown), Elodie Caumon, Rachel Gillings, Ewa Sicińska, Nathalie Meunier, Edith J. M. Feskens, Barbara Pietruszka, C.P.G.M. de Groot, Susan J. Fairweather‐Tait, Miriam Capri, Claudio Franceschi, Aurelia Santoro	18
17	Stochastic neutral modelling of the Gut Microbiota’s relative species abundance from next generation sequencing data 2016 ·BMC Bioinformatics ·Claudia Sala, Silvia Vitali, Enrico Giampieri, Ítalo Faria do Valle, Daniel Remondini, Paolo Garagnani, Matteo Bersanelli, Ettore Mosca, Luciano Milanesi, Gastone Castellani	18
18	Multiscale characterization of ageing and cancer progression by a novel network entropy measure 2015 ·Molecular BioSystems ·Giulia Menichetti, Ginestra Bianconi, Gastone Castellani, Enrico Giampieri, Daniel Remondini	16
19	Immune parameters identify Italian centenarians with a longer five-year survival independent of their health and functional status 2014 ·Experimental Gerontology ·L. Bucci, Rita Ostan, Enrico Giampieri, Elisa Cevenini, Elena Pini, Maria Scurti, Rosanna Vescovini, Paolo Sansoni, Calogero Caruso, Daniela Mari, Francesco Ronchetti, María Orietta Borghi, Giulia Ogliari, C. Grossi, Miriam Capri, Stefano Salvioli, Gastone Castellani, C. Franceschi, Daniela Monti	26
20	Stochastic analysis of a miRNA–protein toggle switch 2011 ·Molecular BioSystems ·Enrico Giampieri, Daniel Remondini, (unknown), (unknown), Píetro Lió	14

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.

Explore authors with similar magnitude of impact