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CARLOS PEREZ

TitleAssistant Professor
InstitutionBaylor College of Medicine
DepartmentDepartment of Neurology
Address7200 CAMBRIDGE
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    Other Positions
    TitleAssistant Professor
    InstitutionBaylor College of Medicine
    DepartmentDepartment of Pediatrics
    DivisionPediatrics-Neurology


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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Gupta RK, Reddy TA, Gupta A, Samant R, Perez CA, Haque A. An Ecchordosis Physaliphora, a Rare Entity, Involving the Central Nervous System: A Systematic Review of the Literature. Neurol Int. 2023 Sep 26; 15(4):1200-1211. PMID: 37873832; PMCID: PMC10594460.
      Citations: 1     
    2. P?rez CA, Cuascut FX, Hutton GJ. Immunopathogenesis, Diagnosis, and Treatment of Multiple Sclerosis: A Clinical Update. Neurol Clin. 2023 02; 41(1):87-106. PMID: 36400561.
      Citations:    Fields:    Translation:Humans
    3. P?rez CA, Zhang GQ, Li X, Huang Y, Lincoln JA, Samudralwar RD, Gupta RK, Lindsey JW. COVID-19 severity and outcome in multiple sclerosis: Results of a national, registry-based, matched cohort study. Mult Scler Relat Disord. 2021 Oct; 55:103217. PMID: 34418735; PMCID: PMC8366056.
      Citations:    
    4. Nelson F, Akhtar MA, Z??iga E, Perez CA, Hasan KM, Wilken J, Wolinsky JS, Narayana PA, Steinberg JL. Novel fMRI working memory paradigm accurately detects cognitive impairment in multiple sclerosis. Mult Scler. 2017 05; 23(6):836-847. PMID: 27613119; PMCID: PMC5344745.
      Citations:    
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