Mitochondrial cholesterol: Metabolism and impact on redox biology and disease is a research paper published in Redox Biology (2023). On theSindex it has a DataRank of 0.780. It has been cited 180 times.
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Base Score Contribution
0.780
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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FWCI
18.16
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
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Additional file 5 of Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis
Additional file 5 of Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis
Additional file 4 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 4 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 5 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 6 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 6 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 2 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 7 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 5 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 7 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 2 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 3 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 3 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 1 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 1 of Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method
Additional file 4 of Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis
Additional file 4 of Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis