Ayşe Çarlıoğlu

56 papers receiving 591 citations

Peers

Ayşe Çarlıoğlu
Comparison fields: 5 of 88
  • Reproductive Medicine 84
  • Psychiatry and Mental health 141
  • Endocrinology, Diabetes and Metabolism 135
  • Endocrine and Autonomic Systems 43
  • Rheumatology 88
Replace Monika Safford with:
Monika Safford United States
Mesut Özkaya Türkiye
Hüseyin Beşiroğlu Türkiye
Michael Rauchenwald Austria
Karen Siu Ling Lam Hong Kong
Erdinç Ertürk Türkiye
Simona Fica Romania
Daniel J. Schaid United States
Ulysse Gaspard Belgium
Shengqiang Yu China
Ayşe Çarlıoğlu relative to Monika Safford United States Monika Safford's profile →
Citations per field
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Monika Safford · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ayşe Çarlıoğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ayşe Çarlıoğlu Line = papers co-authored together Ayşe Çarlıoğlu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014128
2 201757
3 201440
4 201630
5 201323
6 201423
7 201623
8 201721
9 201521
10 201018
11 201718
12 201417
13 201515
14 201615
15 200914
16 201613
17
Higher levels of circulating chemerin in both lean and obese patients with polycystic ovary syndrome.
201411
18 201010
19 20219
20 20208

About Ayşe Çarlıoğlu

Ayşe Çarlıoğlu is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology, Reproductive Medicine and Cardiology and Cardiovascular Medicine, having authored 64 papers that have together received 615 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (14 papers), Ovarian function and disorders (11 papers), Liver Disease Diagnosis and Treatment (8 papers), Thyroid Disorders and Treatments (7 papers), Cancer, Lipids, and Metabolism (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Cardiovascular Disease and Adiposity (5 papers). The work is most often cited by research in Reproductive Medicine (84 citations), Psychiatry and Mental health (141 citations), Endocrinology, Diabetes and Metabolism (135 citations), Endocrine and Autonomic Systems (43 citations) and Rheumatology (88 citations). Ayşe Çarlıoğlu has collaborated with scholars based in Türkiye, United States and Cambodia. Frequent co-authors include Ali Koşar, Yaşar Karaaslan, Feridun Karakurt, Şenay Arıkan Durmaz, Sevilay Özmen, Benan Kasapoğlu, Süheyla Görar, Konca Altınkaynak, Havva Keskin and Sema Uysal. Their work appears in journals such as Blood Coagulation & Fibrinolysis, Archives of Gynecology and Obstetrics, American Journal of Otolaryngology, The Indian Journal of Medical Research and Cardiology Research and Practice.

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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