Most cited papers from Prenosis (United States)

Prenosis (United States)

What are the most cited papers from Prenosis (United States)?

The most cited paper from Prenosis (United States) is "Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis" (Ishan Taneja et al., 2017), with 78 citations. Next come "FDA-Authorized AI/ML Tool for Sepsis Prediction: Development and Validation" (71) and "Distinct immune profiles and clinical outcomes in sepsis subphenotypes based on temperature trajectories" (50).

Published TypeFieldAccess

Showing 9 of 9 papers. Every paper is listed.

Most cited papers, sortable by citations and release date
#	Paper
1	Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis Ishan Taneja et al. · Scientific Reports Open access	Sep 2017	78
2	FDA-Authorized AI/ML Tool for Sepsis Prediction: Development and Validation Akhil S. Bhargava et al. · NEJM AI	27 Nov 2024	71
3	Distinct immune profiles and clinical outcomes in sepsis subphenotypes based on temperature trajectories Sivasubramanium V. Bhavani et al. · Intensive Care Medicine	9 Oct 2024	50
4	Diagnostic and prognostic capabilities of a biomarker and EMR‐based machine learning algorithm for sepsis Ishan Taneja et al. · Clinical and Translational Science Open access	31 Mar 2021	45
5	Development and Validation of the First FDA Authorized Artificial Intelligence/Machine Learning Diagnostic Tool for the Prediction of Sepsis Risk Akhil S. Bhargava et al. · medRxiv PreprintOpen access	7 May 2024	1
6	Additive Predictive Value of the Sepsis ImmunoScore ® : A Multicenter, Prospective Evaluation of AI-Enabled Prediction of Sepsis Risk and Patient Outcomes Akhil Bhargava, Carlos López-Espina, Lee Schmalz et al. · Research Square PreprintOpen access	30 Jun 2026	0
7	The clinician-artificial intelligence partnership in early sepsis identification: Leveraging predictive intelligence for enhanced financial outcomes Akhil S. Bhargava, Lee Schmalz, Carlos G. Lopez-Espina et al. · Research Square PreprintOpen access	6 Jan 2026	0
8	The Sepsis ImmunoScore Predicts Sepsis, Mortality, and Deterioration Better than Clinical Scores and Widely Available Biomarkers Gregory L. Watson et al. · Diagnostics Open access	24 Jun 2026	0
9	5: ASSESSMENT OF A COMBINED BIOMARKER-EMR DATA MACHINE LEARNING MODEL FOR SEPSIS-3 Akhil S. Bhargava, Carlos G. Lopez-Espina, Setareh Manafirasi et al. · Critical Care Medicine	16 Dec 2021	0

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.