Influence of Engine‐Driven <scp>NiTi</scp> Files on the Effectiveness and Technical Quality of Endodontic Treatment Performed by Undergraduate Students: A Systematic Review and Meta‐Analysis

Authors

Institutions

Publication Details

Journal
International Endodontic Journal
Published
2025-10-26
DOI
https://doi.org/10.1111/iej.70056
Citations
3
Primary Topic
Endodontics and Root Canal Treatments
Type
article
Field-Weighted Citation Impact
5.37

Funders

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

Influence of Engine‐Driven NiTi Files on the Effectiveness and Technical Quality of Endodontic Treatment Performed by Undergraduate Students: A Systematic Review and Meta‐Analysis

Mariana Barbosa, Karem Paula Pinto, Emmanuel João Nogueira Leal Silva, Elidiane Elias Ribeiro et al.
3 citations
International Endodontic Journal
Endodontics and Root Canal Treatments
5.37
article

Influence of Engine‐Driven NiTi Files on the Effectiveness and Technical Quality of Endodontic Treatment Performed by Undergraduate Students: A Systematic Review and Meta‐Analysis

Mariana Barbosa, Karem Paula Pinto, Emmanuel João Nogueira Leal Silva, Elidiane Elias Ribeiro, Ana Flávia Almeida Barbosa, Luciana Moura Sassone
article en
3 citations

Abstract

No abstract available for this paper.
International Endodontic Journal
Universidade Unigranrio (BR), Universidade do Estado do Rio de Janeiro (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Openalex Percentile: Top 4%
Endodontics and Root Canal Treatments
5.37
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.