Andrea Facchinetti

6.5k total citations · 2 hit papers
156 papers, 4.6k citations indexed

About

Andrea Facchinetti is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Andrea Facchinetti has authored 156 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Endocrinology, Diabetes and Metabolism, 87 papers in Surgery and 72 papers in Genetics. Recurrent topics in Andrea Facchinetti's work include Diabetes Management and Research (136 papers), Pancreatic function and diabetes (80 papers) and Diabetes and associated disorders (72 papers). Andrea Facchinetti is often cited by papers focused on Diabetes Management and Research (136 papers), Pancreatic function and diabetes (80 papers) and Diabetes and associated disorders (72 papers). Andrea Facchinetti collaborates with scholars based in Italy, United Kingdom and Switzerland. Andrea Facchinetti's co-authors include Giovanni Sparacino, Claudio Cobelli, Martina Vettoretti, Giacomo Cappon, Simone Del Favero, Giada Acciaroli, Chiara Zecchin, Alberto Maran, Giuseppe De Nicolao and Stefano Corazza and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Andrea Facchinetti

144 papers receiving 4.5k citations

Hit Papers

Continuous Glucose Monitoring Sensors for Diabetes Manage... 2019 2026 2021 2023 2019 2023 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications
    2019 289 citations Giacomo Cappon, Martina Vettoretti et al. profile →
  2. The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
    2023 76 citations Giacomo Cappon, Simone Del Favero et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Facchinetti Italy 38 3.3k 1.8k 1.6k 704 488 156 4.6k
Giovanni Sparacino Italy 39 3.3k 1.0× 1.8k 1.0× 1.5k 0.9× 697 1.0× 659 1.4× 183 5.2k
Ali Çınar United States 43 2.0k 0.6× 1.5k 0.8× 1.0k 0.6× 879 1.2× 467 1.0× 262 5.9k
Eyal Dassau United States 44 4.4k 1.3× 3.5k 2.0× 2.5k 1.6× 716 1.0× 493 1.0× 178 6.0k
Marc D. Breton United States 40 5.7k 1.7× 4.4k 2.5× 3.5k 2.2× 310 0.4× 500 1.0× 186 6.6k
B. Wayne Bequette United States 39 2.3k 0.7× 1.9k 1.1× 1.3k 0.9× 431 0.6× 367 0.8× 175 5.7k
Howard Zisser United States 44 4.8k 1.5× 3.6k 2.1× 2.6k 1.7× 367 0.5× 425 0.9× 138 5.6k
Pau Herrero United Kingdom 31 1.6k 0.5× 795 0.4× 685 0.4× 234 0.3× 289 0.6× 97 2.8k
Josep Vehı́ Spain 29 1.6k 0.5× 854 0.5× 710 0.5× 193 0.3× 219 0.4× 159 2.8k
Lalo Magni Italy 44 2.5k 0.8× 2.1k 1.2× 1.5k 1.0× 211 0.3× 297 0.6× 181 7.1k
Roman Hovorka United Kingdom 57 9.9k 3.0× 6.7k 3.8× 5.0k 3.2× 562 0.8× 644 1.3× 308 11.6k

Countries citing papers authored by Andrea Facchinetti

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Facchinetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Facchinetti

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Facchinetti. A scholar is included among the top collaborators of Andrea Facchinetti 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 Andrea Facchinetti. Andrea Facchinetti 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.
Cappon, Giacomo, et al.. (2025). Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions. BMC Medical Informatics and Decision Making. 25(1). 33–33.
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Schönenberger, Katja A., Natascha Potoczna, Andreas Vogt, et al.. (2023). Randomized, Double-Blind, Placebo-Controlled Crossover Trial of Once Daily Empagliflozin 25 mg for the Treatment of Postprandial Hypoglycemia After Roux-en-Y Gastric Bypass. Diabetes Technology & Therapeutics. 25(7). 467–475. 7 indexed citations
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McNeilly, Alison D., Simona Hapca, Paul Fournier, et al.. (2023). High intensity interval training as a novel treatment for impaired awareness of hypoglycaemia in people with type 1 diabetes (HIT4HYPOS): a randomised parallel-group study. Diabetologia. 67(2). 392–402. 2 indexed citations
7.
Bruttomesso, Daniela, Federico Boscari, Giulia Noaro, et al.. (2021). A “Slide Rule” to Adjust Insulin Dose Using Trend Arrows in Adults with Type 1 Diabetes: Test in Silico and in Real Life. Diabetes Therapy. 12(5). 1313–1324. 7 indexed citations
8.
Vettoretti, Martina, et al.. (2020). Modeling Carbohydrate Counting Error in Type 1 Diabetes Management. Diabetes Technology & Therapeutics. 22(10). 749–759. 29 indexed citations
9.
Noaro, Giulia, Giacomo Cappon, Martina Vettoretti, et al.. (2020). Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. IEEE Transactions on Biomedical Engineering. 68(1). 247–255. 35 indexed citations
10.
Vettoretti, Martina, et al.. (2019). A Real-Time Continuous Glucose Monitoring–Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events. Diabetes Technology & Therapeutics. 21(11). 644–655. 17 indexed citations
11.
Vettoretti, Martina, Simone Del Favero, Giovanni Sparacino, & Andrea Facchinetti. (2019). Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data. PubMed. 2019. 750–753. 9 indexed citations
12.
Galderisi, Alfonso, et al.. (2016). Neonatal hypoglycemia continuous glucose monitoring: a randomized controlled trial in preterm infants. Diabetes Technology & Therapeutics. 18. 57–57. 4 indexed citations
13.
Favero, Simone Del, Andrea Facchinetti, Giovanni Sparacino, & Claudio Cobelli. (2015). Retrofitting of Continuous Glucose Monitoring Traces Allows More Accurate Assessment of Glucose Control in Outpatient Studies. Diabetes Technology & Therapeutics. 17(5). 355–363. 8 indexed citations
14.
Fabris, Chiara, Andrea Facchinetti, Giovanni Sparacino, et al.. (2014). Glucose Variability Indices in Type 1 Diabetes: Parsimonious Set of Indices Revealed by Sparse Principal Component Analysis. Diabetes Technology & Therapeutics. 16(10). 644–652. 39 indexed citations
15.
Zecchin, Chiara, Andrea Facchinetti, Giovanni Sparacino, et al.. (2013). Physical Activity Measured by Physical Activity Monitoring System Correlates with Glucose Trends Reconstructed from Continuous Glucose Monitoring. Diabetes Technology & Therapeutics. 15(10). 836–844. 21 indexed citations
16.
Falda, Marco, Stefano Toppo, Enrico Lavezzo, et al.. (2012). Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. BMC Bioinformatics. 13(S4). S14–S14. 109 indexed citations
17.
Favero, Simone Del, Andrea Facchinetti, & Claudio Cobelli. (2012). A Glucose-Specific Metric to Assess Predictors and Identify Models. IEEE Transactions on Biomedical Engineering. 59(5). 1281–1290. 37 indexed citations
18.
Man, Chiara Dalla, et al.. (2011). Assessment of Blood Glucose Predictors: The Prediction-Error Grid Analysis. Diabetes Technology & Therapeutics. 13(8). 787–796. 26 indexed citations
19.
Guerra, Stefania, Giovanni Sparacino, Andrea Facchinetti, et al.. (2011). A Dynamic Risk Measure from Continuous Glucose Monitoring Data. Diabetes Technology & Therapeutics. 13(8). 843–852. 28 indexed citations
20.
Facchinetti, Andrea, Giovanni Sparacino, Claudio Cobelli, et al.. (2010). Artificial Neural Network Algorithm for Online Glucose Prediction from Continuous Glucose Monitoring. Diabetes Technology & Therapeutics. 12(1). 81–88. 230 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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