Ayşenur Atay
- Physiology top 10%
- Molecular Biology
- Epidemiology
- Statistics, Probability and Uncertainty top 5%
- Surgery
- Co-authors
- Mehmet KöseoğluSerap ÇuhadarAhmet DiricanTaciser KayaNeşe ÖlmezRezzan GünaydınYusuf Cem KaplanAsuman Deveci Özkan
- Topics
- Clinical Laboratory Practices and Quality Control (3 papers)Lipoproteins and Cardiovascular Health (2 papers)Regulation of Appetite and Obesity (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhytotherapy ResearchSouthern Medical Journal
In The Last Decade
Ayşenur Atay
16 papers receiving 543 citations
Peers
Comparison fields: 5 of 98
- Physiology 215
- Molecular Biology 114
- Epidemiology 79
- Statistics, Probability and Uncertainty 78
- Surgery 49
Countries citing papers authored by Ayşenur Atay
This map shows the geographic impact of Ayşenur Atay'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 Ayşenur Atay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayşenur Atay more than expected).
Fields of papers citing papers by Ayşenur Atay
This network shows the impact of papers produced by Ayşenur Atay. 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 Ayşenur Atay. The network helps show where Ayşenur Atay may publish in the future.
Co-authorship network of co-authors of Ayşenur Atay
This figure shows the co-authorship network connecting the top 25 collaborators of Ayşenur Atay. A scholar is included among the top collaborators of Ayşenur Atay 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 Ayşenur Atay. Ayşenur Atay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | The Severity of Coronary Artery Disease and Methylenetetrahydrofolate Reductase (MTHFR) Enzyme Gene Polymorphism | 2 |
| 3 | Effects of Aspirin on Serum Total Antioxidant Activity in A Short Term Period | 3 |
| 4 | 58 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 151 | |
| 8 | 19 | |
| 9 | 11 | |
| 10 | 61 | |
| 11 | 3 | |
| 12 | 130 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 33 | |
| 16 | 52 | |
| 17 | 17 |
About Ayşenur Atay
Ayşenur Atay is a scholar working on Endocrine and Autonomic Systems, Statistics, Probability and Uncertainty and Cancer Research, having authored 17 papers that have together received 566 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (3 papers), Lipoproteins and Cardiovascular Health (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (78 citations), Physiology (215 citations) and Clinical Biochemistry (41 citations). Ayşenur Atay has collaborated with scholars based in Türkiye, France and Kuwait. Frequent co-authors include Mehmet Köseoğlu, Serap Çuhadar, Ahmet Dirican, Taciser Kaya, Neşe Ölmez, Rezzan Günaydın, Yusuf Cem Kaplan, Asuman Deveci Özkan, Saliha Aksun and Leyla Demir. Their work appears in journals such as SHILAP Revista de lepidopterología, Phytotherapy Research and Southern Medical Journal.
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.