Spatiotemporal Mapping of Colorectal and Gastric Cancer Incidence in Hamadan Province, Western Iran (2010-2019)

Spatiotemporal inequality in the incidence of CRC and GC was identified in Hamadan province over the past decade. The findings may help to reduce cancer disparities and allocate effective resources in the appropriate region and time in the future.

Authors

Institutions

Publication Details

Journal
Journal of Research in Health Sciences
Published
2025-03-29
DOI
https://doi.org/10.34172/jrhs.2025.185
Citations
2
Primary Topic
Global Healthcare and Medical Tourism
Type
article
Field-Weighted Citation Impact
5.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal Mapping of Colorectal and Gastric Cancer Incidence in Hamadan Province, Western Iran (2010-2019)

Elaheh Talebi‐Ghane, Erfan Ayubi, Zahra Keshtpour Amlashi, Sharareh Niksiar
2 citations
Journal of Research in Health Sciences
Global Healthcare and Medical Tourism
5.63
article

Spatiotemporal Mapping of Colorectal and Gastric Cancer Incidence in Hamadan Province, Western Iran (2010-2019)

Elaheh Talebi‐Ghane, Erfan Ayubi, Zahra Keshtpour Amlashi, Sharareh Niksiar
article en
2 citations

Abstract

Spatiotemporal inequality in the incidence of CRC and GC was identified in Hamadan province over the past decade. The findings may help to reduce cancer disparities and allocate effective resources in the appropriate region and time in the future.

Journal of Research in Health SciencesVol. 25(2)
Hamedan University of Medical Sciences (IR)
Openalex Percentile: Top 6%
Global Healthcare and Medical Tourism
5.63
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.