Harvard Catalyst Profiles

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Voravech Nissaisorakarn, M.D.

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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. Thongprayoon C, Mao MA, Keddis MT, Kattah AG, Chong GY, Pattharanitima P, Nissaisorakarn V, Garg AK, Erickson SB, Dillon JJ, Garovic VD, Cheungpasitporn W. Hypernatremia subgroups among hospitalized patients by machine learning consensus clustering with different patient survival. J Nephrol. 2021 Oct 08. PMID: 34623631.
    Citations: 1     Fields:    
  2. Thongprayoon C, Dumancas CY, Nissaisorakarn V, Keddis MT, Kattah AG, Pattharanitima P, Petnak T, Vallabhajosyula S, Garovic VD, Mao MA, Dillon JJ, Erickson SB, Cheungpasitporn W. Machine Learning Consensus Clustering Approach for Hospitalized Patients with Phosphate Derangements. J Clin Med. 2021 Sep 27; 10(19). PMID: 34640457.
    Citations:    
  3. Thongprayoon C, Vaitla P, Nissaisorakarn V, Mao MA, Genovez JLZ, Kattah AG, Pattharanitima P, Vallabhajosyula S, Keddis MT, Qureshi F, Dillon JJ, Garovic VD, Kashani KB, Cheungpasitporn W. Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering. Med Sci (Basel). 2021 Sep 24; 9(4). PMID: 34698185.
    Citations:    
  4. Thongprayoon C, Nissaisorakarn V, Pattharanitima P, Mao MA, Kattah AG, Keddis MT, Dumancas CY, Vallabhajosyula S, Petnak T, Erickson SB, Dillon JJ, Garovic VD, Kashani KB, Cheungpasitporn W. Subtyping Hyperchloremia among Hospitalized Patients by Machine Learning Consensus Clustering. Medicina (Kaunas). 2021 Aug 30; 57(9). PMID: 34577826.
    Citations: 2     Fields:    Translation:Humans
  5. Thongprayoon C, Hansrivijit P, Mao MA, Vaitla PK, Kattah AG, Pattharanitima P, Vallabhajosyula S, Nissaisorakarn V, Petnak T, Keddis MT, Erickson SB, Dillon JJ, Garovic VD, Cheungpasitporn W. Machine Learning Consensus Clustering of Hospitalized Patients with Admission Hyponatremia. Diseases. 2021 Aug 01; 9(3). PMID: 34449583.
    Citations: 2     
  6. Thongprayoon C, Kattah AG, Mao MA, Keddis MT, Pattharanitima P, Vallabhajosyula S, Nissaisorakarn V, Erickson SB, Dillon JJ, Garovic VD, Cheungpasitporn W. Distinct Phenotypes of Hospitalized Patients with Hyperkalemia by Machine Learning Consensus Clustering and Associated Mortality Risks. QJM. 2021 Jul 16. PMID: 34270780.
    Citations: 4     Fields:    
  7. Park R, Lopes da Silva L, Nissaisorakarn V, Riano I, Williamson S, Sun W, Saeed A. Comparison of Efficacy of Systemic Therapies in Advanced Hepatocellular Carcinoma: Updated Systematic Review and Frequentist Network Meta-Analysis of Randomized Controlled Trials. J Hepatocell Carcinoma. 2021; 8:145-154. PMID: 33791250.
    Citations:    
  8. Nissaisorakarn V, Lee JR, Lubetzky M, Suthanthiran M. Urine biomarkers informative of human kidney allograft rejection and tolerance. Hum Immunol. 2018 May; 79(5):343-355. PMID: 29366869.
    Citations: 6     Fields:    Translation:Humans
  9. Ingsathit A, Nissaisorakarn V, Thanak P, Kittiyakara C, Sumethkul V, Kantachuvesiri S, Pootracool P. Prevalence and Risk Factors of Peripheral Arterial Disease Among Thai Dialysis Patients. J Med Assoc Thai. 2017 Feb; 100(2):133-41. PMID: 29916232.
    Citations:    Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.