Cansu Özbayer

505 total citations
42 papers, 377 citations indexed

About

Cansu Özbayer is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Cansu Özbayer has authored 42 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Physiology. Recurrent topics in Cansu Özbayer's work include Inflammasome and immune disorders (4 papers), Immune Response and Inflammation (4 papers) and Inflammatory mediators and NSAID effects (4 papers). Cansu Özbayer is often cited by papers focused on Inflammasome and immune disorders (4 papers), Immune Response and Inflammation (4 papers) and Inflammatory mediators and NSAID effects (4 papers). Cansu Özbayer collaborates with scholars based in Türkiye, Colombia and Cambodia. Cansu Özbayer's co-authors include İrfan Değirmenci, Hülyam Kurt, Hasan Veysi Güneş, Mehmet Cengiz Üstüner, Ertuğrul Çolak, Muzaffer Metintaş, Emre Entok, Hilmi Özden, Dilek Burukoğlu and Fatih Kar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Science of Food and Agriculture and Pflügers Archiv - European Journal of Physiology.

In The Last Decade

Cansu Özbayer

39 papers receiving 374 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cansu Özbayer Türkiye 12 120 48 48 47 43 42 377
Agnieszka Matuszewska Poland 13 143 1.2× 46 1.0× 42 0.9× 34 0.7× 45 1.0× 40 447
Wenjing Li China 11 176 1.5× 41 0.9× 45 0.9× 48 1.0× 44 1.0× 47 471
Amira Ebrahim Alsemeh Egypt 12 109 0.9× 43 0.9× 43 0.9× 30 0.6× 26 0.6× 47 340
Eman Z. Abdelaziz‎ Egypt 10 95 0.8× 28 0.6× 46 1.0× 37 0.8× 34 0.8× 18 366
İhsan Karaboğa Türkiye 12 104 0.9× 38 0.8× 43 0.9× 51 1.1× 45 1.0× 32 384
Engy M. El Morsy Egypt 12 133 1.1× 44 0.9× 62 1.3× 34 0.7× 25 0.6× 19 396
Sílvia Bona Brazil 15 123 1.0× 35 0.7× 59 1.2× 36 0.8× 28 0.7× 27 476
Noha M. Shawky Egypt 10 136 1.1× 31 0.6× 40 0.8× 62 1.3× 38 0.9× 28 368
Hülyam Kurt Türkiye 14 143 1.2× 38 0.8× 34 0.7× 50 1.1× 44 1.0× 29 510
Tao Yao China 8 149 1.2× 29 0.6× 33 0.7× 27 0.6× 51 1.2× 10 434

Countries citing papers authored by Cansu Özbayer

Since Specialization
Citations

This map shows the geographic impact of Cansu Özbayer'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 Cansu Özbayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cansu Özbayer more than expected).

Fields of papers citing papers by Cansu Özbayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cansu Özbayer. 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 Cansu Özbayer. The network helps show where Cansu Özbayer may publish in the future.

Co-authorship network of co-authors of Cansu Özbayer

This figure shows the co-authorship network connecting the top 25 collaborators of Cansu Özbayer. A scholar is included among the top collaborators of Cansu Özbayer 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 Cansu Özbayer. Cansu Özbayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Özbayer, Cansu, et al.. (2025). Promising Antidepressant Potential: The Role of Lactobacillus rhamnosus GG in Mental Health and Stress Response. Probiotics and Antimicrobial Proteins. 17(6). 5235–5265. 2 indexed citations
3.
Özbayer, Cansu, et al.. (2024). Dose‐dependent protective effects of Lactobacillus rhamnosus GG against stress‐induced ulcer. Journal of the Science of Food and Agriculture. 104(13). 8109–8119. 2 indexed citations
4.
5.
Özbayer, Cansu, et al.. (2024). Inflammatory Gene Variants and Protein Levels: An Important Predictor of Prostate Cancer Development. Journal of Environmental Pathology Toxicology and Oncology. 44(3). 27–49.
6.
Hacıoğlu, Ceyhan, et al.. (2023). Ex vivo investigation of betaine and boric acid function as preprotective agents on rat synaptosomes to be treated with Aβ (1–42). Environmental Toxicology. 39(4). 2138–2149. 1 indexed citations
7.
Kar, Fatih, et al.. (2023). Prophylactic and Therapeutic Efficacy of Boric Acid on Lipopolysaccharide-Induced Liver and Kidney Inflammation in Rats. Biological Trace Element Research. 202(8). 3701–3713. 9 indexed citations
8.
Özbayer, Cansu, et al.. (2023). Boric Acid Alleviates Gastric Ulcer by Regulating Oxidative Stress and Inflammation-Related Multiple Signaling Pathways. Biological Trace Element Research. 202(5). 2124–2132. 10 indexed citations
9.
Özbayer, Cansu, et al.. (2022). Effects of the probiotic, Lactobacillus rhamnosus GG , on ulcer pathogenesis, HSP70 stress protein and nitric oxide levels in stress induced ulcer. Biotechnic & Histochemistry. 97(6). 449–460. 8 indexed citations
10.
Özbayer, Cansu, et al.. (2022). Gene Variations of Chemokine and Chemokine Receptor CXCL12/CXCR4 in Lung Cancer. Journal of Environmental Pathology Toxicology and Oncology. 42(2). 49–57. 2 indexed citations
11.
Metintaş, Muzaffer, et al.. (2022). Serum Expression Levels of Certain miRNAs in Predicting Diagnosis, Prognosis, and Response to Chemotherapy in Malignant Pleural Mesothelioma. Balkan Medical Journal. 39(4). 246–254. 3 indexed citations
13.
Üstüner, Mehmet Cengiz, et al.. (2018). Propolis Protects Endotoxin Induced Acute Lung and Liver Inflammation Through Attenuating Inflammatory Responses and Oxidative Stress. Journal of Medicinal Food. 21(11). 1096–1105. 20 indexed citations
14.
Özbayer, Cansu, et al.. (2018). Genetic variant in the 3′-untranslated region of the COX2 gene is associated with type 2 diabetes: A hospital-based case-control study. Prostaglandins Leukotrienes and Essential Fatty Acids. 137. 39–42. 13 indexed citations
15.
Değirmenci, İrfan, et al.. (2018). Common Variants rs3815188 and rs1043994 on Notch3 Gene Confer Susceptibility to Lung Cancer: A Hospital-Based Case–Control Study. Journal of Environmental Pathology Toxicology and Oncology. 38(1). 61–68. 4 indexed citations
16.
Özbayer, Cansu, et al.. (2016). miRSNPs of miR1274 and miR3202 Genes that Target MeCP2 and DNMT3b Are Associated with Lung Cancer Risk: A Study Conducted on MassARRAY Genotyping. Journal of Environmental Pathology Toxicology and Oncology. 35(3). 223–236. 3 indexed citations
17.
Özbayer, Cansu, et al.. (2015). The role of NOD1/CARD4 and NOD2/CARD15 genetic variations in lung cancer risk. Inflammation Research. 64(10). 775–779. 20 indexed citations
18.
Üstüner, Mehmet Cengiz, Cansu Özbayer, Özlem Aydın, et al.. (2014). Apoptotic effects of dipyrido [3,2-a:2′,3′-c] phenazine (dppz) Au(III) complex against diethylnitrosamine/phenobarbital induced experimental hepatocarcinogenesis in rats. Molecular Biology Reports. 41(8). 5109–5121. 6 indexed citations
19.
Özbayer, Cansu, Hülyam Kurt, Suna Kalender, et al.. (2011). Effects of Stevia rebaudiana (Bertoni) Extract and N -Nitro- l -Arginine on Renal Function and Ultrastructure of Kidney Cells in Experimental Type 2 Diabetes. Journal of Medicinal Food. 14(10). 1215–1222. 11 indexed citations
20.
Özden, Hilmi, et al.. (2010). The effects of levetiracetam on urinary 15f-2t-isoprostane levels in epileptic patients. Seizure. 19(8). 514–516. 10 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.

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