Ayşe Çarlıoğlu

902 total citations
64 papers, 615 citations indexed

About

Ayşe Çarlıoğlu is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Epidemiology. According to data from OpenAlex, Ayşe Çarlıoğlu has authored 64 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Oncology and 14 papers in Epidemiology. Recurrent topics in Ayşe Çarlıoğlu's work include Inflammatory Biomarkers in Disease Prognosis (14 papers), Ovarian function and disorders (11 papers) and Liver Disease Diagnosis and Treatment (8 papers). Ayşe Çarlıoğlu is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (14 papers), Ovarian function and disorders (11 papers) and Liver Disease Diagnosis and Treatment (8 papers). Ayşe Çarlıoğlu collaborates with scholars based in Türkiye, United States and Cambodia. Ayşe Çarlıoğlu's co-authors include Ali Koşar, Yaşar Karaaslan, Feridun Karakurt, Şenay Arıkan Durmaz, Benan Kasapoğlu, Sevilay Özmen, Süheyla Görar, Konca Altınkaynak, Havva Keskin and Hülya Uzkeser and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atherosclerosis and Acta Oto-Laryngologica.

In The Last Decade

Ayşe Çarlıoğlu

56 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayşe Çarlıoğlu Türkiye 15 141 135 114 103 93 64 615
Hüseyin Beşiroğlu Türkiye 16 196 1.4× 216 1.6× 80 0.7× 76 0.7× 10 0.1× 61 734
Ulysse Gaspard Belgium 17 43 0.3× 272 2.0× 37 0.3× 38 0.4× 27 0.3× 49 877
Riitta Tähtelä Finland 21 93 0.7× 195 1.4× 368 3.2× 69 0.7× 16 0.2× 36 1.1k
Geneviève Plu‐Bureau France 13 142 1.0× 555 4.1× 83 0.7× 63 0.6× 39 0.4× 27 1.5k
Monika Safford United States 5 41 0.3× 552 4.1× 99 0.9× 126 1.2× 32 0.3× 15 1.1k
Ana C. Palei Brazil 29 77 0.5× 103 0.8× 70 0.6× 87 0.8× 514 5.5× 86 2.3k
Shengqiang Yu China 17 23 0.2× 108 0.8× 138 1.2× 80 0.8× 57 0.6× 49 947
Sena Yeşil Türkiye 24 58 0.4× 743 5.5× 71 0.6× 157 1.5× 54 0.6× 73 1.3k
Michael Rauchenwald Austria 21 193 1.4× 277 2.1× 115 1.0× 122 1.2× 7 0.1× 60 1.4k
Masahiro Adachi Japan 14 22 0.2× 196 1.5× 74 0.6× 86 0.8× 41 0.4× 50 860

Countries citing papers authored by Ayşe Çarlıoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Ayşe Çarlıoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayşe Çarlıoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Ayşe Çarlıoğlu. A scholar is included among the top collaborators of Ayşe Çarlıoğlu 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 Ayşe Çarlıoğlu. Ayşe Çarlıoğlu 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.
Uzkeser, Hülya, Havva Keskin, Yasemin Çayır, et al.. (2021). Is mean platelet volume related to disease activity in systemic lupus erythematosus?. International Journal of Clinical Practice. 75(11). 9 indexed citations
2.
Çarlıoğlu, Ayşe, et al.. (2020). Fatty liver in patients with acromegaly. Turkish Journal of Clinics and Laboratory. 11(1). 33–38. 1 indexed citations
3.
Çarlıoğlu, Ayşe, et al.. (2020). Non-alcoholic fatty liver disease in patients with familial hypercholesterolemia. 12(2). 219–224. 2 indexed citations
4.
Bayram, Fahrı, Alper Sönmez, Cem Haymana, et al.. (2020). Utilization of statins and LDL-cholesterol target attainment in Turkish patients with type 2 diabetes - a nationwide cross-sectional study (TEMD dyslipidemia study). Lipids in Health and Disease. 19(1). 237–237. 8 indexed citations
5.
Yıldız, Faruk, et al.. (2020). Investigation of the neutrophil/lymphocyte and monocyte to high-density lipoprotein cholesterol ratios in differentiated thyroid cancers. Journal of Health Sciences and Medicine. 3(2). 172–175.
6.
Özmen, Sevilay, et al.. (2020). Histopathological Results of Suspicious Nodules in the Patients with Hashimoto Thyroiditis. DergiPark (Istanbul University). 1 indexed citations
7.
Keskin, Havva, et al.. (2019). Monocyte to HDL-Cholesterol Ratio in Male with Hypogonadotropic Hypogonadism. 52(2). 128–132.
8.
Çarlıoğlu, Ayşe, et al.. (2018). Thiol/Disulfide Balance in Patients with Familial Hypercholesterolemia. Cardiology Research and Practice. 2018. 1–6. 6 indexed citations
9.
Kara, Soner Sertan, et al.. (2018). Is otitis media with effusion associated with oxidative stress? Evaluation of thiol/disulfide homeostasis. American Journal of Otolaryngology. 40(2). 164–167. 5 indexed citations
10.
Çarlıoğlu, Ayşe, et al.. (2016). Rasagiline-Induced Hypoglycemia. SHILAP Revista de lepidopterología. 20(4). 148–149.
11.
Kucur, Cüneyt, et al.. (2016). Evaluation of the anatomical and auditory outcomes of minimally invasive cartilage myringoplasty: Our technique and experience. American Journal of Otolaryngology. 37(6). 517–522. 5 indexed citations
12.
Kasapoğlu, Benan, et al.. (2016). Role of γ-glutamyl transferase levels in prediction of high cardiovascular risk among patients with non-alcoholic fatty liver disease. The Indian Journal of Medical Research. 143(1). 30–30. 13 indexed citations
13.
Uzkeser, Hülya, et al.. (2015). Is mean platelet volume a new activity criteria in Behçet's disease?. Blood Coagulation & Fibrinolysis. 26(7). 836–839. 15 indexed citations
14.
Görar, Süheyla, Ayşe Çarlıoğlu, Havva Yazıcı, et al.. (2014). Plasma nesfatin-1 levels are increased in patients with polycystic ovary syndrome. Journal of Endocrinological Investigation. 37(8). 715–719. 40 indexed citations
15.
Aksoy, Ayşe Nur, et al.. (2014). How medical treatment affects mean platelet volume as a cardiovascular risk marker in polycystic ovary syndrome?. Blood Coagulation & Fibrinolysis. 26(8). 862–865. 7 indexed citations
16.
Çarlıoğlu, Ayşe, et al.. (2014). Mean platelet volume in euthyroid patients with Hashimoto's thyroiditis. Blood Coagulation & Fibrinolysis. 26(3). 282–284. 17 indexed citations
17.
İçağasıoğlu, Afitap, et al.. (2013). Kronik Bel ağrısının nöropatik komponenti. 30(3). 148–151.
18.
Karakurt, Feridun, et al.. (2013). Effect of ethinyl estradiol–cyproterone acetate treatment on asymmetric dimethyl-arginine levels in women with polycystic ovary syndrome. Archives of Gynecology and Obstetrics. 289(1). 135–140. 4 indexed citations
19.
Koca, Cemile, et al.. (2009). Metabolik Sendromda Endotel Disfonksiyonu ve Ateroskleroz Riski Arasındaki İlişkinin Oksidatif Stres Üzerinden Değerlendirilmesi. 21(1). 38–45. 1 indexed citations
20.
Turğut, Faruk, Mehmet Kanbay, Burak Uz, et al.. (2006). A forgotten but important risk factor for infective endocarditis in patients with prosthetic valve: Pedicure. Scandinavian Journal of Infectious Diseases. 39(3). 274–276. 3 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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