Buket Aydas

508 total citations
20 papers, 360 citations indexed

About

Buket Aydas is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Buket Aydas has authored 20 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Buket Aydas's work include Epigenetics and DNA Methylation (8 papers), Congenital Heart Disease Studies (4 papers) and Congenital heart defects research (4 papers). Buket Aydas is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Congenital Heart Disease Studies (4 papers) and Congenital heart defects research (4 papers). Buket Aydas collaborates with scholars based in United States, India and South Korea. Buket Aydas's co-authors include Ray Bahado‐Singh, Sangeetha Vishweswaraiah, Uppala Radhakrishna, Chittibabu Guda, Nitish K. Mishra, Ali Yılmaz, Stewart F. Graham, Onur Türkoğlu, Ali Yılmaz and Jiri Sonek and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Buket Aydas

20 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Buket Aydas United States	12	159	85	56	52	49	20	360
Ronald E. Becker United States	9	126 0.8×	55 0.6×	50 0.9×	42 0.8×	63 1.3×	11	386
Edibe Pembegül Yıldız Türkiye	9	75 0.5×	216 2.5×	21 0.4×	17 0.3×	82 1.7×	40	393
Vivek P. Gupta United States	8	37 0.2×	51 0.6×	26 0.5×	18 0.3×	27 0.6×	19	323
Antonio José Cañada Martínez Spain	12	90 0.6×	63 0.7×	28 0.5×	21 0.4×	81 1.7×	51	400
Marina Mola-Caminal Spain	9	214 1.3×	43 0.5×	29 0.5×	6 0.1×	27 0.6×	10	384
Ji Yoon Han South Korea	13	139 0.9×	86 1.0×	13 0.2×	22 0.4×	33 0.7×	58	420
Supatporn Tepmongkol Thailand	13	85 0.5×	94 1.1×	27 0.5×	49 0.9×	66 1.3×	48	501
Shailesh Pitale United States	13	83 0.5×	29 0.3×	11 0.2×	10 0.2×	31 0.6×	28	582
Boris Boutkov United States	2	154 1.0×	26 0.3×	23 0.4×	15 0.3×	19 0.4×	2	518

Countries citing papers authored by Buket Aydas

Since Specialization

Citations

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

Fields of papers citing papers by Buket Aydas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Buket Aydas

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

All Works

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20 of 20 papers shown

Bahado‐Singh, Ray, et al.. (2025). Precision fetal cardiology detects cyanotic congenital heart disease using maternal saliva metabolome and artificial intelligence. Scientific Reports. 15(1). 2060–2060. 3 indexed citations

Bahado‐Singh, Ray, Onur Türkoğlu, Buket Aydas, & Sangeetha Vishweswaraiah. (2023). Precision oncology: Artificial intelligence, circulating cell‐free DNA, and the minimally invasive detection of pancreatic cancer—A pilot study. Cancer Medicine. 12(19). 19644–19655. 6 indexed citations

Bahado‐Singh, Ray, Buket Aydas, Nitish K. Mishra, et al.. (2023). Cell-Free DNA in Maternal Blood and Artificial Intelligence: Accurate Prenatal Detection of Fetal Congenital Heart Defects. Obstetrical & Gynecological Survey. 78(7). 379–380. 1 indexed citations

Bahado‐Singh, Ray, et al.. (2022). Precision Oncology: Artificial Intelligence and DNA Methylation Analysis of Circulating Cell-Free DNA for Lung Cancer Detection. Frontiers in Oncology. 12. 790645–790645. 19 indexed citations

Bahado‐Singh, Ray, Zaid Al-Wahab, Buket Aydas, et al.. (2022). Precision gynecologic oncology: circulating cell free DNA epigenomic analysis, artificial intelligence and the accurate detection of ovarian cancer. Scientific Reports. 12(1). 18625–18625. 18 indexed citations

Bahado‐Singh, Ray, Buket Aydas, Nitish K. Mishra, et al.. (2022). Cell-free DNA in maternal blood and artificial intelligence: accurate prenatal detection of fetal congenital heart defects. American Journal of Obstetrics and Gynecology. 228(1). 76.e1–76.e10. 11 indexed citations

Bahado‐Singh, Ray, Uppala Radhakrishna, Buket Aydas, et al.. (2022). Artificial Intelligence and Circulating Cell-Free DNA Methylation Profiling: Mechanism and Detection of Alzheimer’s Disease. Cells. 11(11). 1744–1744. 21 indexed citations

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, et al.. (2021). Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer’s disease. PLoS ONE. 16(3). e0248375–e0248375. 20 indexed citations

Radhakrishna, Uppala, Sangeetha Vishweswaraiah, Sandeep Kumar, et al.. (2021). Placental DNA methylation profiles in opioid-exposed pregnancies and associations with the neonatal opioid withdrawal syndrome. Genomics. 113(3). 1127–1135. 23 indexed citations

10.

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, & Uppala Radhakrishna. (2021). Placental DNA methylation changes and the early prediction of autism in full-term newborns. PLoS ONE. 16(7). e0253340–e0253340. 19 indexed citations

11.

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, & Uppala Radhakrishna. (2021). Artificial intelligence and placental DNA methylation: newborn prediction and molecular mechanisms of autism in preterm children. The Journal of Maternal-Fetal & Neonatal Medicine. 35(25). 8150–8159. 8 indexed citations

12.

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, et al.. (2020). Precision cardiovascular medicine: artificial intelligence and epigenetics for the pathogenesis and prediction of coarctation in neonates. The Journal of Maternal-Fetal & Neonatal Medicine. 35(3). 457–464. 30 indexed citations

13.

Aydas, Buket. (2020). Artificial Intelligence and amniotic fluid multi-omics analysis: The prediction of perinatal outcome in the asymptomatic short cervix. 5(2). 2 indexed citations

14.

Akyol, Sümeyya, Ali Yılmaz, Kyung Joon Oh, et al.. (2020). Evidence that the Kennedy and polyamine pathways are dysregulated in human brain in cases of dementia with Lewy bodies. Brain Research. 1743. 146897–146897. 6 indexed citations

15.

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, et al.. (2019). Artificial Intelligence and the detection of pediatric concussion using epigenomic analysis. Brain Research. 1726. 146510–146510. 18 indexed citations

16.

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, et al.. (2019). Artificial intelligence analysis of newborn leucocyte epigenomic markers for the prediction of autism. Brain Research. 1724. 146457–146457. 34 indexed citations

17.

Savasan, Zeynep Alpay, Ali Yılmaz, Zafer Ugur, et al.. (2019). Metabolomic Profiling of Cerebral Palsy Brain Tissue Reveals Novel Central Biomarkers and Biochemical Pathways Associated with the Disease: A Pilot Study. Metabolites. 9(2). 27–27. 23 indexed citations

18.

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, et al.. (2019). Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy. International Journal of Molecular Sciences. 20(9). 2075–2075. 40 indexed citations

19.

Bahado‐Singh, Ray, Jiri Sonek, David S. McKenna, et al.. (2018). Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix. Ultrasound in Obstetrics and Gynecology. 54(1). 110–118. 57 indexed citations

20.

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, et al.. (2018). 62: Deep learning/artificial intelligence and the epigenomic prediction of coarctation of the aorta. American Journal of Obstetrics and Gynecology. 220(1). S50–S50. 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.

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