Bibliometric Analysis of The Medical Journal of Suleyman Demirel University for The Years 2020–2025

ObjectiveThis study aimed to examine the bibliometric overview of articles published in the Medical Journal of Süleyman Demirel University between 2020 and 2025, and thereby to reveal the journal’s current publication profile and developmental trends.Material and MethodAll articles published in the journal between January 2020 and December 2025 were retrieved from the DergiPark archive and cross-checked with Google Scholar. Data were independently extracted by two researchers using a pre-specified coding form; disagreements were resolved by consensus. Citations were retrieved on a single reference date (15 December 2025). Analyses were structured as a primary stream restricted to regular issues (n=438) and a supplementary stream including special issues (n=482). Departmental and institutional collaboration networks, as well as a keyword co-occurrence network, were constructed in Python (NetworkX). Group differences were tested with Pearson’s chi-square, Kruskal–Wallis and Mann–Whitney U tests, and Spearman correlations (α=0.05).ResultsIn regular issues (n=438), 84.93% of articles were research articles, 7.53% case reports, 6.39% reviews, and 1.14% other. In the two special issues (n=44), reviews dominated (81.82%). The article-type mix, publication language, and study-design distribution all shifted significantly across 2020–2025 (all p

Authors

Institutions

Publication Details

Journal
SDÜ Tıp Fakültesi Dergisi
Published
2026-06-29
DOI
https://doi.org/10.17343/sdutfd.1892989
Primary Topic
Academic Writing and Publishing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bibliometric Analysis of The Medical Journal of Suleyman Demirel University for The Years 2020–2025

İhsan Hız, Soner Albay, Yadigar Kastamonı, Kenan Öztürk et al.
SDÜ Tıp Fakültesi Dergisi
Academic Writing and Publishing
article

Bibliometric Analysis of The Medical Journal of Suleyman Demirel University for The Years 2020–2025

İhsan Hız, Soner Albay, Yadigar Kastamonı, Kenan Öztürk, Hanife Ertürk
article en

Abstract

ObjectiveThis study aimed to examine the bibliometric overview of articles published in the Medical Journal of Süleyman Demirel University between 2020 and 2025, and thereby to reveal the journal’s current publication profile and developmental trends.Material and MethodAll articles published in the journal between January 2020 and December 2025 were retrieved from the DergiPark archive and cross-checked with Google Scholar. Data were independently extracted by two researchers using a pre-specified coding form; disagreements were resolved by consensus. Citations were retrieved on a single reference date (15 December 2025). Analyses were structured as a primary stream restricted to regular issues (n=438) and a supplementary stream including special issues (n=482). Departmental and institutional collaboration networks, as well as a keyword co-occurrence network, were constructed in Python (NetworkX). Group differences were tested with Pearson’s chi-square, Kruskal–Wallis and Mann–Whitney U tests, and Spearman correlations (α=0.05).ResultsIn regular issues (n=438), 84.93% of articles were research articles, 7.53% case reports, 6.39% reviews, and 1.14% other. In the two special issues (n=44), reviews dominated (81.82%). The article-type mix, publication language, and study-design distribution all shifted significantly across 2020–2025 (all p

SDÜ Tıp Fakültesi DergisiVol. 33(2)
Antalya Bilim University (TR), Suleyman Demirel University (KZ)
Partnerships for the goals
Openalex Percentile: Top 2%
Academic Writing and Publishing
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.