Claudio Pinto

818 citations
24 papers · 640 · h-index 13

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 6
    • Autophagy in Disease and Therapy 3
    • Liver Diseases and Immunity 6
    • Liver physiology and pathology 2

Claudio Pinto

24 papers receiving 635 citations

Peers

Claudio Pinto
Comparison fields: 5 of 89
  • Hepatology 132
  • Complementary and alternative medicine 43
  • Epidemiology 153
  • Neurology 38
  • Physiology 106
Replace Qiongming Liu with:
Qiongming Liu China
Bing Yang China
Seham A Abd El‐Aleem Egypt
He-Sheng Luo China
Seung-Min Lee South Korea
Teresa Rubio‐Tomás Greece
Andréa Janz Moreira Brazil
Haifeng Zhang China
Eduardo Linck Machado Guimarães Belgium
Lingling Lu China
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Citations per field
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Qiongming Liu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Claudio Pinto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Claudio Pinto Line = papers co-authored together Claudio Pinto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201790
3 201671
4 201766
5 201653
6 199843
7 201834
8 201728
9 202027
10 201924
11 202216
12 202113
13 202012
14 202311
15 201810
16 200710
17 20139
18 20168
19 20217
20 20213

About Claudio Pinto

Claudio Pinto is a scholar working on Epidemiology, Hepatology, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 640 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver Diseases and Immunity (6 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Autophagy in Disease and Therapy (3 papers), Liver physiology and pathology (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Hepatology (132 citations), Complementary and alternative medicine (43 citations), Epidemiology (153 citations), Neurology (38 citations) and Physiology (106 citations). Claudio Pinto has collaborated with scholars based in Italy, Chile and Australia. Frequent co-authors include Marco Marzioni, Luca Maroni, A. Benedetti, Nibaldo C. Inestrosa, Juan A. Godoy, Sussy Bastías‐Candia, Juan M. Zolezzi, Manuel J. Santos, Carolina B. Lindsay and Pedro Cisternas. Their work appears in journals such as Hepatology, Scientific Reports, Cells, Journal of Lipid Research and Journal of Virology.

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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