Elucidating the Significance of Endogenous Hydrogen Sulfide as a Novel Candidate for Postoperative Pain Recovery in a Murine Model

Targeting CBS to sustain H<sub>2</sub>S signalling offers a new strategy to enhance postoperative pain recovery.

Authors

Institutions

Publication Details

Journal
European Journal of Pain
Published
2025-05-29
DOI
https://doi.org/10.1002/ejp.70043
Citations
1
Primary Topic
Sulfur Compounds in Biology
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Elucidating the Significance of Endogenous Hydrogen Sulfide as a Novel Candidate for Postoperative Pain Recovery in a Murine Model

Simone A. Teixeira, Soraia K.P. Costa, Marcelo N. Muscará, Jorge Luiz Dallazen et al.
1 citations
European Journal of Pain
Sulfur Compounds in Biology
1.11
article

Elucidating the Significance of Endogenous Hydrogen Sulfide as a Novel Candidate for Postoperative Pain Recovery in a Murine Model

Simone A. Teixeira, Soraia K.P. Costa, Marcelo N. Muscará, Jorge Luiz Dallazen, Gilberto De Nucci, Larissa Gonzaga Santos
article en
1 citations

Abstract

Targeting CBS to sustain H<sub>2</sub>S signalling offers a new strategy to enhance postoperative pain recovery.

European Journal of PainVol. 29(6)
Universidade de São Paulo (BR), Universidade Estadual de Campinas (UNICAMP) (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 22%
Sulfur Compounds in Biology
1.11
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.