Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Confirmatory Factor Analysis and Fit Indices: Review
2013208 citationsÜnal Erkorkmaz, Ílker Etikán et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Ünal Erkorkmaz
Since
Specialization
Citations
This map shows the geographic impact of Ünal Erkorkmaz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ünal Erkorkmaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ünal Erkorkmaz more than expected).
This network shows the impact of papers produced by Ünal Erkorkmaz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ünal Erkorkmaz. The network helps show where Ünal Erkorkmaz may publish in the future.
Co-authorship network of co-authors of Ünal Erkorkmaz
This figure shows the co-authorship network connecting the top 25 collaborators of Ünal Erkorkmaz.
A scholar is included among the top collaborators of Ünal Erkorkmaz based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Ünal Erkorkmaz. Ünal Erkorkmaz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Günal, Özgür, et al.. (2014). Seroprevalence for Rubella, CMV and Toxoplasmosis Among Pregnant Women in Central Black Sea Region of Turkey. DergiPark (Istanbul University).4 indexed citations
12.
Günal, Özgür, et al.. (2014). Türkiye'nin Orta Karadeniz Bölgesi'nde Gebelerde Rubella, CMV ve Toksoplazmozis Seroprevalansı (Seroprevalence for Rubella, CMV and Toxoplasmosis Among Pregnant Women in Central Black Sea Region of Turkey). 6(1). 54–62.3 indexed citations
Günal, Özgür, et al.. (2010). Side Effects of Therapy for Chronic Hepatitis C: High Incidence of Dermal and Mucosal Adverse Events. SHILAP Revista de lepidopterología.1 indexed citations
15.
Uluocak, Nıhat, Fikret Erdemi̇r, Doğan Atılgan, et al.. (2010). Tokat ilinde üriner sistem taş hastalığı prevalansı. 36(1). 81–86.1 indexed citations
16.
Yılmaz, Resul, Mustafa Özçetin, Ünal Erkorkmaz, Samet Özer, & Filiz Ekici. (2009). Public Knowledge and Attitude toward Crimean Congo Hemorrhagic Fever in Tokat Turkey. SHILAP Revista de lepidopterología.4 indexed citations
17.
Etikán, Ílker, Birgül Elbozan Cumurcu, Feryal Çam Çelıkel, & Ünal Erkorkmaz. (2009). Yapay Sinir Ağları Yöntemi ve Bu Yöntem Kullanılarak Psikiyatrik Tanıların Sınıflanması. Turkiye Klinikleri Tip Bilimleri Dergisi. 29(2). 314–320.2 indexed citations
18.
Ünalan, Demet, Vesile Şenol, Ahmet Öztürk, & Ünal Erkorkmaz. (2007). Meslek Yüksekokullarının Sağlık ve Sosyal Programlarında Öğrenim Gören Öğrencilerin Sağlıklı Yaşam Biçimi Davranışları ve Öz-Bakım Gücü Düzeyleri Arasındaki İlişkinin İncelenmesi. DergiPark (Istanbul University). 14(2). 101–109.11 indexed citations
19.
Cumurcu, Tongabay, et al.. (2007). Serebral Palsili Çocuklarda Göz Bulguları. DergiPark (Istanbul University). 12(1). 48–52.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.