Jose Iglesias
Jose Iglesias is an expert in Cardiology at Hackensack University Medical Center (United States). Jose Iglesias has authored 107 publications, the most recent in 2026, and is an investigator in 2 clinical trials. SLR score: 481 (community average: 125). How the SLR is computed.
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Cardiology
Subspecialties: Critical Care - Pulmonology - Public Health
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Publications and Clinical Studies
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Career arc: 2017 - 2026
Number : 107
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Latest Publications
5 most recent indexed articles
Source: Pubmed
| Title | Journal | Year | Citations |
|---|---|---|---|
| Impact of Fixed-Dose Combination Therapies on Cardiovascular Mortality and Major Cardiovascular Events. PMID 42900438 — mortality, heart diseases, heart failure, heart, secondary prevention, heart failure, systolic, primary prevention, therapeutics | Curr Cardiol Rep | 2026 | 0 |
| Blood Count-Based Inflammatory Indices Do Not Improve Prediction of Acute Kidney Injury in Cardiogenic Shock. PMID 42730461 — creatinine, laboratories, blood, lymphocytes, shock, cardiogenic, neutrophils, kidney, intensive care units, acute kidney injury | J Clin Med Res | 2026 | 0 |
| Inflammatory and Structural Endotypes of Human Atherosclerotic Plaque Revealed by Integrated Transcriptomic Analysis. PMID 42510819 — interferon-gamma, cells, genes, muscle cells, genomics, muscles, muscle, smooth, macrophages, transcription factors, phenotype, atherosclerosis, myocytes, smooth muscle, tissues, plaque, atherosclerotic | Genes (Basel) | 2026 | 0 |
| Melatonin Supplementation and Cardiovascular Outcomes: A Systematic Review and Meta-Analysis of Randomized Trials. PMID 42123177 — myocardial infarction, melatonin, heart failure, heart, stress, physiological, troponin, cardiovascular diseases, arteries, oxidative stress, coronary artery bypass, reperfusion injury | J Clin Med | 2026 | 0 |
| Predicting acute kidney injury in septic shock patients using inflammatory indices in the intensive care unit. PMID 41883771 — kidney diseases, comorbidity, laboratories, principal component analysis, lymphocytes, shock, septic, neutrophils, kidney, predictive value of tests, critical illness, intensive care units, acute kidney injury, neural networks, computer | World J Crit Care Med | 2026 | 0 |
Clinical Studies 2
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