Claudio Pinto

795 total citations
24 papers, 607 citations indexed

About

Claudio Pinto is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Claudio Pinto has authored 24 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Molecular Biology and 7 papers in Hepatology. Recurrent topics in Claudio Pinto's work include Liver Disease Diagnosis and Treatment (7 papers), Liver Diseases and Immunity (6 papers) and Pediatric Hepatobiliary Diseases and Treatments (5 papers). Claudio Pinto is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Liver Diseases and Immunity (6 papers) and Pediatric Hepatobiliary Diseases and Treatments (5 papers). Claudio Pinto collaborates with scholars based in Italy, Chile and Australia. Claudio Pinto's co-authors include Marco Marzioni, Luca Maroni, A. Benedetti, Nibaldo C. Inestrosa, Juan A. Godoy, Sussy Bastías‐Candia, Manuel J. Santos, Juan M. Zolezzi, Sonia Tucci and Carolina B. Lindsay and has published in prestigious journals such as Hepatology, Journal of Virology and Scientific Reports.

In The Last Decade

Claudio Pinto

24 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Pinto Italy 12 247 170 137 131 105 24 607
Zhenjie Zhuang China 15 426 1.7× 262 1.5× 74 0.5× 89 0.7× 80 0.8× 34 826
Junfei Zhang China 11 256 1.0× 162 1.0× 60 0.4× 47 0.4× 120 1.1× 42 619
Sabine Daemen Netherlands 15 335 1.4× 284 1.7× 96 0.7× 92 0.7× 328 3.1× 19 893
Yong‐Hyun Han South Korea 13 290 1.2× 289 1.7× 137 1.0× 93 0.7× 168 1.6× 37 792
Qiongming Liu China 12 414 1.7× 142 0.8× 58 0.4× 39 0.3× 164 1.6× 13 822
Paul G. Thomes United States 19 254 1.0× 545 3.2× 53 0.4× 75 0.6× 109 1.0× 38 942
Tingting Bao China 14 211 0.9× 55 0.3× 40 0.3× 50 0.4× 42 0.4× 35 588
Roberta Piccoletti Italy 17 347 1.4× 209 1.2× 71 0.5× 73 0.6× 172 1.6× 32 762
Alessia Ferrarini Spain 15 504 2.0× 115 0.7× 68 0.5× 34 0.3× 124 1.2× 26 880

Countries citing papers authored by Claudio Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Pinto. A scholar is included among the top collaborators of Claudio Pinto 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 Claudio Pinto. Claudio Pinto 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.
Gutiérrez, Daniela, Claudio Pinto, Cristián Morales, et al.. (2023). c-Abl tyrosine kinase down-regulation as target for memory improvement in Alzheimer’s disease. Frontiers in Aging Neuroscience. 15. 1180987–1180987. 10 indexed citations
2.
Matteo, Sabina Di, Chiara Di Meo, Guido Carpino, et al.. (2022). Therapeutic effects of dexamethasone-loaded hyaluronan nanogels in the experimental cholestasis. Drug Delivery and Translational Research. 12(8). 1959–1973. 2 indexed citations
3.
Marín, Tamara, Andrés E. Dulcey, Juan Francisco Castro, et al.. (2022). c-Abl Activation Linked to Autophagy-Lysosomal Dysfunction Contributes to Neurological Impairment in Niemann-Pick Type A Disease. Frontiers in Cell and Developmental Biology. 10. 844297–844297. 14 indexed citations
4.
Pinto, Claudio, et al.. (2021). Role of autophagy in cholangiocarcinoma: Pathophysiology and implications for therapy. World Journal of Clinical Cases. 9(22). 6234–6243. 3 indexed citations
5.
6.
Quezada, Nicolás, Javiera Torres, Jaime Cerda, et al.. (2021). Insulin resistance and liver histopathology in metabolically unhealthy subjects do not correlate with the hepatic abundance of NLRP3 inflammasome nor circulating IL-1β levels. BMJ Open Diabetes Research & Care. 9(1). e001975–e001975. 3 indexed citations
7.
Maroni, Luca, et al.. (2020). Gut–Liver Axis and Inflammasome Activation in Cholangiocyte Pathophysiology. Cells. 9(3). 736–736. 27 indexed citations
8.
Pinto, Claudio, et al.. (2020). Aging-Related Molecular Pathways in Chronic Cholestatic Conditions. Frontiers in Medicine. 6. 332–332. 11 indexed citations
9.
Maroni, Luca, Claudio Pinto, S. Saccomanno, et al.. (2018). Aging‐Related Expression of Twinfilin‐1 Regulates Cholangiocyte Biological Response to Injury. Hepatology. 70(3). 883–898. 10 indexed citations
10.
Pinto, Claudio, et al.. (2017). Role of inflammation and proinflammatory cytokines in cholangiocyte pathophysiology. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(4). 1270–1278. 83 indexed citations
11.
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
12.
Zolezzi, Juan M., Manuel J. Santos, Sussy Bastías‐Candia, et al.. (2017). PPARs in the central nervous system: roles in neurodegeneration and neuroinflammation. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 92(4). 2046–2069. 89 indexed citations
13.
Piccinin, Elena, Cláudia Maria Peres, Elena Bellafante, et al.. (2017). Hepatic peroxisome proliferator‐activated receptor γ coactivator 1β drives mitochondrial and anabolic signatures that contribute to hepatocellular carcinoma progression in mice. Hepatology. 67(3). 884–898. 27 indexed citations
14.
Rivera, Daniela S., Carolina B. Lindsay, Juan F. Codocedo, et al.. (2016). Andrographolide recovers cognitive impairment in a natural model of Alzheimer's disease (Octodon degus). Neurobiology of Aging. 46. 204–220. 67 indexed citations
15.
Petruzzelli, Michele, Elena Piccinin, Claudio Pinto, et al.. (2016). Biliary Phospholipids Sustain Enterocyte Proliferation and Intestinal Tumor Progression via Nuclear Receptor Lrh1 in mice. Scientific Reports. 6(1). 39278–39278. 7 indexed citations
16.
Maroni, Luca, Laura Agostinelli, S. Saccomanno, et al.. (2016). Nlrp3 Activation Induces Il-18 Synthesis and Affects the Epithelial Barrier Function in Reactive Cholangiocytes. American Journal Of Pathology. 187(2). 366–376. 53 indexed citations
17.
Boric, M A, et al.. (2013). TNF system in eutopic endometrium from women with endometriosis. Open Journal of Obstetrics and Gynecology. 3(2). 271–278. 9 indexed citations
18.
Pinto, Claudio, et al.. (2010). Formación de capital humano en el sector de TIC en Costa Rica. Journal of Virology. 88(21). 12452–63. 2 indexed citations
19.
Gatica, Arnaldo, David Contador, Claudio Pinto, et al.. (2007). P450 CYP2C epoxygenase and CYP4A ω-hydroxylase mediate ciprofibrate-induced PPARα-dependent peroxisomal proliferation. Journal of Lipid Research. 48(4). 924–934. 9 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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