Jorge Espinoza‐Derout

479 total citations
18 papers, 353 citations indexed

About

Jorge Espinoza‐Derout is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jorge Espinoza‐Derout has authored 18 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jorge Espinoza‐Derout's work include Liver Disease Diagnosis and Treatment (4 papers), Smoking Behavior and Cessation (4 papers) and Adipose Tissue and Metabolism (4 papers). Jorge Espinoza‐Derout is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Smoking Behavior and Cessation (4 papers) and Adipose Tissue and Metabolism (4 papers). Jorge Espinoza‐Derout collaborates with scholars based in United States. Jorge Espinoza‐Derout's co-authors include Amiya P. Sinha‐Hikim, Theodore C. Friedman, Xuesi M. Shao, Carl Sims, Yanjun Liu, Kenneth P. Roos, Maria C. Jordan, Indrani Sinha‐Hikim, Brahim Chaqour and Satyesh K. Sinha and has published in prestigious journals such as PLoS ONE, Circulation Research and Hepatology.

In The Last Decade

Jorge Espinoza‐Derout

17 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Espinoza‐Derout United States 11 152 149 55 54 45 18 353
Mohamed G. Ewees Egypt 10 116 0.8× 77 0.5× 45 0.8× 45 0.8× 21 0.5× 17 305
Julie A. Houck United States 12 115 0.8× 124 0.8× 13 0.2× 29 0.5× 51 1.1× 25 406
Erminia Donnarumma United States 13 141 0.9× 132 0.9× 69 1.3× 14 0.3× 16 0.4× 20 496
Jiang Zhi-sheng China 5 81 0.5× 136 0.9× 82 1.5× 16 0.3× 32 0.7× 5 372
Wen Yu China 11 100 0.7× 92 0.6× 54 1.0× 13 0.2× 17 0.4× 17 388
Johannes Wiecha Germany 11 161 1.1× 86 0.6× 111 2.0× 8 0.1× 31 0.7× 18 372
Ying-Jiong Ding China 7 105 0.7× 101 0.7× 53 1.0× 12 0.2× 12 0.3× 8 374
Daniel Siuda Germany 10 137 0.9× 132 0.9× 34 0.6× 10 0.2× 29 0.6× 10 359
Mariëlle Verweij Netherlands 9 101 0.7× 220 1.5× 21 0.4× 10 0.2× 29 0.6× 11 429
Sreerupa Ghose Roy India 6 166 1.1× 41 0.3× 68 1.2× 16 0.3× 12 0.3× 7 320

Countries citing papers authored by Jorge Espinoza‐Derout

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Espinoza‐Derout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Espinoza‐Derout. 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 Jorge Espinoza‐Derout. The network helps show where Jorge Espinoza‐Derout may publish in the future.

Co-authorship network of co-authors of Jorge Espinoza‐Derout

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

All Works

18 of 18 papers shown
1.
Carlini, María J., Jorge Espinoza‐Derout, Meaghan Van Alstyne, et al.. (2025). Identification of p38 MAPK inhibition as a neuroprotective strategy for combinatorial SMA therapy. EMBO Molecular Medicine. 17(10). 2762–2786.
2.
Espinoza‐Derout, Jorge, et al.. (2024). Hepatic steatosis induced by nicotine plus Coca-Cola™ is prevented by nicotinamide riboside (NR). Frontiers in Endocrinology. 15. 1282231–1282231. 2 indexed citations
3.
Sinha‐Hikim, Amiya P., et al.. (2024). Electronic cigarette-induced adipose tissue inflammation is rescued by acipimox. Physiology. 39(S1). 1 indexed citations
4.
Bautista, Francisco, et al.. (2023). Fatty Acid Excess Dysregulates CARF to Initiate the Development of Hepatic Steatosis. Cells. 12(7). 1069–1069. 2 indexed citations
5.
Espinoza‐Derout, Jorge, Maria C. Jordan, Xuesi M. Shao, et al.. (2023). The lipolysis inhibitor acipimox reverses the cardiac phenotype induced by electronic cigarettes. Scientific Reports. 13(1). 18239–18239. 4 indexed citations
6.
Espinoza‐Derout, Jorge, et al.. (2021). CARF (CDKN2AIP) Regulates Hepatic Lipid Metabolism and Protects Against Development of Non-Alcoholic Fatty Liver Diseases. Journal of the Endocrine Society. 5(Supplement_1). A284–A284. 2 indexed citations
7.
Espinoza‐Derout, Jorge, et al.. (2020). Adverse effects of fetal exposure of electronic-cigarettes and high-fat diet on male neonatal hearts. Experimental and Molecular Pathology. 118. 104573–104573. 6 indexed citations
8.
Friedman, Theodore C., Jorge Espinoza‐Derout, Francisco Bautista, et al.. (2020). Electronic cigarettes cause alteration in cardiac structure and function in diet-induced obese mice. PLoS ONE. 15(10). e0239671–e0239671. 19 indexed citations
9.
Espinoza‐Derout, Jorge, Xuesi M. Shao, Maria C. Jordan, et al.. (2019). Chronic intermittent electronic cigarette exposure induces cardiac dysfunction and atherosclerosis in apolipoprotein-E knockout mice. American Journal of Physiology-Heart and Circulatory Physiology. 317(2). H445–H459. 74 indexed citations
10.
Shao, Xuesi M., David M. Nathan, Jorge Espinoza‐Derout, et al.. (2019). A mouse model for chronic intermittent electronic cigarette exposure exhibits nicotine pharmacokinetics resembling human vapers. Journal of Neuroscience Methods. 326. 108376–108376. 36 indexed citations
11.
Espinoza‐Derout, Jorge, et al.. (2019). Hepatic DNA Damage Induced by Electronic Cigarette Exposure Is Associated With the Modulation of NAD+/PARP1/SIRT1 Axis. Frontiers in Endocrinology. 10. 320–320. 35 indexed citations
12.
Friedman, Theodore C., Xuesi M. Shao, Carl Sims, et al.. (2019). E‐cigarettes and Western Diet: Important Metabolic Risk Factors for Hepatic Diseases. Hepatology. 69(6). 2442–2454. 36 indexed citations
13.
14.
Sinha‐Hikim, Indrani, Theodore C. Friedman, Kamrul Hasan, et al.. (2016). Nicotine plus a high-fat diet triggers cardiomyocyte apoptosis. Cell and Tissue Research. 368(1). 159–170. 21 indexed citations
15.
Li, Darrick K., Sarah Tisdale, Jorge Espinoza‐Derout, et al.. (2013). A Cell System for Phenotypic Screening of Modifiers of SMN2 Gene Expression and Function. PLoS ONE. 8(8). e71965–e71965. 16 indexed citations
16.
Huang, Jing, Jian Guo, Farideh Beigi, et al.. (2013). HASF is a stem cell paracrine factor that activates PKC epsilon mediated cytoprotection. Journal of Molecular and Cellular Cardiology. 66. 157–164. 26 indexed citations
17.
Espinoza‐Derout, Jorge, Michael Wagner, Louis Salciccioli, et al.. (2009). Positive Transcription Elongation Factor b Activity in Compensatory Myocardial Hypertrophy is Regulated by Cardiac Lineage Protein-1. Circulation Research. 104(12). 1347–1354. 23 indexed citations
18.
Espinoza‐Derout, Jorge, et al.. (2007). Pivotal role of cardiac lineage protein-1 (CLP-1) in transcriptional elongation factor P-TEFb complex formation in cardiac hypertrophy. Cardiovascular Research. 75(1). 129–138. 26 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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