Risk model based on neutrophil-related genes constructs to assess prognosis and immune landscape in sepsis

Risk models constructed on the basis of NRGs are effective in predicting survival outcomes and immune profiles of sepsis patients, providing a new perspective on the link between NRGs and sepsis.

Authors

Institutions

Publication Details

Journal
Shock
Published
2025-12-11
DOI
https://doi.org/10.1097/shk.0000000000002768
Primary Topic
Immune Response and Inflammation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk model based on neutrophil-related genes constructs to assess prognosis and immune landscape in sepsis

Xueyun Liu, Xi Li, Xiaowei Wang, Fan Sun et al.
Shock
Immune Response and Inflammation
article

Risk model based on neutrophil-related genes constructs to assess prognosis and immune landscape in sepsis

Xueyun Liu, Xi Li, Xiaowei Wang, Fan Sun, Min Shi
article en

Abstract

Risk models constructed on the basis of NRGs are effective in predicting survival outcomes and immune profiles of sepsis patients, providing a new perspective on the link between NRGs and sepsis.

Shock
The Third Affiliated Hospital of Zhejiang Chinese Medical University (CN)
Good health and well-being
Openalex Percentile: Top 33%
Immune Response and Inflammation
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Risk model based on neutrophil-related genes constructs to assess prognosis and immune landscape in sepsis — Xueyun Liu, Xi Li, et al. · Shock (2025) | TGRS Research Map | TGRS