I. Pierantonelli

1.1k total citations · 1 hit paper
15 papers, 836 citations indexed

About

I. Pierantonelli is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, I. Pierantonelli has authored 15 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in I. Pierantonelli's work include Liver Disease Diagnosis and Treatment (8 papers), Diet, Metabolism, and Disease (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). I. Pierantonelli is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Diet, Metabolism, and Disease (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). I. Pierantonelli collaborates with scholars based in Italy, United States and Austria. I. Pierantonelli's co-authors include Gianluca Svegliati‐Baroni, Desirée Bartolini, Pierangelo Torquato, Francesco Galli, Rita Marinelli, Chryssostomos Chatgilialoglu, Carla Ferreri, Marco Marzioni, A. Benedetti and L. Trozzi and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Gut.

In The Last Decade

I. Pierantonelli

15 papers receiving 820 citations

Hit Papers

Nonalcoholic Fatty Liver Disease: Basic Pathogenetic Mech... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Pierantonelli Italy 10 609 267 219 196 156 15 836
Emilia Ip Australia 7 668 1.1× 386 1.4× 243 1.1× 163 0.8× 134 0.9× 14 958
Lay T. Gan Australia 4 529 0.9× 170 0.6× 205 0.9× 146 0.7× 90 0.6× 5 668
Mulugeta Seneshaw United States 8 500 0.8× 237 0.9× 194 0.9× 136 0.7× 123 0.8× 16 720
Ryoko Yada Japan 9 603 1.0× 341 1.3× 295 1.3× 114 0.6× 170 1.1× 13 903
Teresa Muñoz‐Yagüe Spain 16 499 0.8× 327 1.2× 141 0.6× 165 0.8× 186 1.2× 24 1.0k
Rocío Gallego‐Durán Spain 16 637 1.0× 276 1.0× 225 1.0× 237 1.2× 135 0.9× 50 940
Xabier Buqué Spain 11 535 0.9× 325 1.2× 258 1.2× 89 0.5× 183 1.2× 22 861
Ashwani Kapoor United States 5 536 0.9× 213 0.8× 229 1.0× 161 0.8× 96 0.6× 6 782
Yin-xiong Li China 7 759 1.2× 255 1.0× 385 1.8× 162 0.8× 127 0.8× 14 969
Natalia Nuño‐Lámbarri Mexico 17 408 0.7× 275 1.0× 149 0.7× 153 0.8× 153 1.0× 46 815

Countries citing papers authored by I. Pierantonelli

Since Specialization
Citations

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

Fields of papers citing papers by I. Pierantonelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Pierantonelli

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

All Works

15 of 15 papers shown
1.
Pierantonelli, I., C. Rychlicki, Claudia Bocca, et al.. (2020). HDL cholesterol protects from liver injury in mice with intestinal specific LXRα activation. Liver International. 40(12). 3127–3139. 12 indexed citations
2.
Svegliati‐Baroni, Gianluca, I. Pierantonelli, Pierangelo Torquato, et al.. (2019). Lipidomic biomarkers and mechanisms of lipotoxicity in non-alcoholic fatty liver disease. Free Radical Biology and Medicine. 144. 293–309. 187 indexed citations
3.
Pierantonelli, I. & Gianluca Svegliati‐Baroni. (2018). Nonalcoholic Fatty Liver Disease: Basic Pathogenetic Mechanisms in the Progression From NAFLD to NASH. Transplantation. 103(1). e1–e13. 349 indexed citations breakdown →
4.
Petta, Salvatore, Luca Valenti, Gianluca Svegliati‐Baroni, et al.. (2017). Fibronectin Type III Domain–Containing Protein 5 rs3480 A>G Polymorphism, Irisin, and Liver Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. The Journal of Clinical Endocrinology & Metabolism. 102(8). 2660–2669. 45 indexed citations
5.
Pierantonelli, I., C. Rychlicki, Laura Agostinelli, et al.. (2017). Lack of NLRP3-inflammasome leads to gut-liver axis derangement, gut dysbiosis and a worsened phenotype in a mouse model of NAFLD. Scientific Reports. 7(1). 12200–12200. 64 indexed citations
6.
Bartolini, Desirée, Pierangelo Torquato, I. Pierantonelli, et al.. (2016). Analytical and molecular insights in the cytochrome P450 metabolism of vitamin E and lipotoxicity mechanisms of non-alcoholic fatty liver. Free Radical Biology and Medicine. 96. S60–S61. 2 indexed citations
7.
Pierantonelli, I., L. Agostinelli, C. Rychlicki, et al.. (2016). Lack of NLRP3-Inflammasome Leads to Gut-Liver AXIS Derangement and Increases Hepatic Injury in a Mouse Model of Non-Alcoholic Fatty Liver Disease. Journal of Hepatology. 64(2). S679–S679. 1 indexed citations
8.
Minicis, Samuele De, Laura Agostinelli, C. Rychlicki, et al.. (2014). HCC Development Is Associated to Peripheral Insulin Resistance in a Mouse Model of NASH. PLoS ONE. 9(5). e97136–e97136. 81 indexed citations
9.
Maroni, Luca, I. Pierantonelli, A. Benedetti, & Marco Marzioni. (2013). Angiogenic factors in chronic liver diseases: the effects on hepatic progenitor cells.. PubMed. 2(2). 61–4. 1 indexed citations
10.
Maroni, Luca, I. Pierantonelli, Jesús M. Bañales, A. Benedetti, & Marco Marzioni. (2013). The significance of genetics for cholangiocarcinoma development.. PubMed. 1(3). 28–28. 23 indexed citations
11.
Marzioni, Marco, S. Saccomanno, Laura Agostinelli, et al.. (2012). PDX-1/Hes-1 interactions determine cholangiocyte proliferative response to injury in rodents: Possible implications for sclerosing cholangitis. Journal of Hepatology. 58(4). 750–756. 22 indexed citations
12.
Fattovich, Giovanna, Gianluca Svegliati‐Baroni, Michela Pasino, et al.. (2012). Post-load insulin resistance does not predict virological response to treatment of chronic hepatitis C patients without the metabolic syndrome. Digestive and Liver Disease. 44(5). 419–425. 9 indexed citations
13.
Cristofori, Chiara, Gianluca Svegliati‐Baroni, Michela Pasino, et al.. (2011). P.1.111: POST LOAD INSULIN RESISTANCE IS NOT A PREDICTOR OF SUSTAINED VIROLOGIC RESPONSE IN CHRONIC HEPATITIS C PATIENTS RECEIVING PEG-INTERFERON PLUS RIBAVIRIN. Digestive and Liver Disease. 43. S185–S185. 1 indexed citations
14.
Marzioni, Marco, S. Saccomanno, C. Candelaresi, et al.. (2010). Pancreatic Duodenal Homeobox-1 de novo expression drives cholangiocyte neuroendocrine-like transdifferentiation. Journal of Hepatology. 53(4). 663–670. 12 indexed citations
15.
Svegliati‐Baroni, Gianluca, G. Faraci, Laura Fabris, et al.. (2010). Insulin resistance and necroinflammation drives ductular reaction and epithelial-mesenchymal transition in chronic hepatitis C. Gut. 60(1). 108–115. 27 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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