Bee Products and Traditional Plant Therapies for Wound Care: a comprehensive review of scientific evidence and clinical applications

This review affirms the therapeutic potential of bee products and medicinal plants and supports their integration into modern wound management protocols, which are increasingly being validated through scientific and clinical research.

Authors

Institutions

Publication Details

Journal
Journal of pharmacopuncture
Published
2025-12-26
DOI
https://doi.org/10.3831/kpi.2025.28.4.255
Primary Topic
Bee Products Chemical Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bee Products and Traditional Plant Therapies for Wound Care: a comprehensive review of scientific evidence and clinical applications

Omar Mohammad Atta, Emad Ahmed Fathy Hussein, Ahmed A. Rawwash
Journal of pharmacopuncture
Bee Products Chemical Analysis
article

Bee Products and Traditional Plant Therapies for Wound Care: a comprehensive review of scientific evidence and clinical applications

Omar Mohammad Atta, Emad Ahmed Fathy Hussein, Ahmed A. Rawwash
article en

Abstract

This review affirms the therapeutic potential of bee products and medicinal plants and supports their integration into modern wound management protocols, which are increasingly being validated through scientific and clinical research.

Journal of pharmacopunctureVol. 28(4)
Al-Azhar University (EG), Egyptian Government (EG), Huazhong University of Science and Technology (CN), Assiut University (EG)
Openalex Percentile: Top 31%
Bee Products Chemical Analysis
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.