Aslı Uyar

1.1k total citations
15 papers, 397 citations indexed

About

Aslı Uyar is a scholar working on Artificial Intelligence, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Aslı Uyar has authored 15 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Aslı Uyar's work include Bayesian Modeling and Causal Inference (3 papers), Alzheimer's disease research and treatments (3 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). Aslı Uyar is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Alzheimer's disease research and treatments (3 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). Aslı Uyar collaborates with scholars based in Türkiye, United States and Canada. Aslı Uyar's co-authors include Ayşe Bener, H. Nadir Çıray, Duygu Ucar, Eladio J. Márquez, Joshy George, Michael L. Stitzel, Fikret Gürgen, Te-Chia Wu, Karolina Palucka and George A. Kuchel and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Aslı Uyar

15 papers receiving 386 citations

Peers

Aslı Uyar
Manami Suzuki Japan
Nadia M. Penrod United States
Youbing Xia China
Charis Drummer Germany
Patrick K. Kimes United States
Li Wu China
Rui Cheng China
Somnath Banerjee United Kingdom
Manami Suzuki Japan
Aslı Uyar
Citations per year, relative to Aslı Uyar Aslı Uyar (= 1×) peers Manami Suzuki

Countries citing papers authored by Aslı Uyar

Since Specialization
Citations

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

Fields of papers citing papers by Aslı Uyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aslı Uyar

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

All Works

15 of 15 papers shown
1.
Li, Yi, Annat Haber, Christoph Preuß, et al.. (2021). Transfer learning‐trained convolutional neural networks identify novel MRI biomarkers of Alzheimer's disease progression. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 13(1). e12140–e12140. 20 indexed citations
2.
Uyar, Aslı, et al.. (2021). Bayesian Network Modeling of IVF Blastocyst Score Prediction. SHILAP Revista de lepidopterología. 12(45). 12–28. 1 indexed citations
3.
Uyar, Aslı, et al.. (2020). Staging Alzheimer’s Disease in the Brain and Retina of B6.APP/PS1 Mice by Transcriptional Profiling. Journal of Alzheimer s Disease. 73(4). 1421–1434. 19 indexed citations
4.
Preuß, Christoph, Ravi S. Pandey, Erin Piazza, et al.. (2020). A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease. Molecular Neurodegeneration. 15(1). 67–67. 26 indexed citations
5.
Thibodeau, Asa, et al.. (2018). A neural network based model effectively predicts enhancers from clinical ATAC-seq samples. Scientific Reports. 8(1). 16048–16048. 14 indexed citations
6.
Ucar, Duygu, Eladio J. Márquez, Cheng‐Han Chung, et al.. (2017). The chromatin accessibility signature of human immune aging stems from CD8+ T cells. The Journal of Experimental Medicine. 214(10). 3123–3144. 146 indexed citations
7.
George, Joshy, Aslı Uyar, Kira Young, et al.. (2016). Leukaemia cell of origin identified by chromatin landscape of bulk tumour cells. Nature Communications. 7(1). 12166–12166. 39 indexed citations
8.
Uyar, Aslı, Ayşe Bener, & H. Nadir Çıray. (2014). Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting. Medical Decision Making. 35(6). 714–725. 70 indexed citations
9.
Bozkurt, Selen, Aslı Uyar, & Kemal Hakan Gülkesen. (2011). Comparison of Bayesian network and binary Logistic Regression methods for prediction of prostate cancer. 37. 1689–1691. 3 indexed citations
10.
Uyar, Aslı, Ayşe Bener, H. Nadir Çıray, & Mustafa Bahçeci. (2010). Physician experience in performing embryo transfers may affect outcome. Fertility and Sterility. 95(5). 1860–1862. 13 indexed citations
11.
Uyar, Aslı, Ayşe Bener, H. Nadir Çıray, & Mustafa Bahçeci. (2010). Handling the Imbalance Problem of IVF Implantation Prediction. 8 indexed citations
12.
Uyar, Aslı, Ayşe Bener, H. Nadir Çıray, & Mustafa Bahçeci. (2010). Bayesian Networks for Predicting IVF Blastocyst Development. 3. 2772–2775. 5 indexed citations
13.
Uyar, Aslı, Ayşe Bener, H. Nadir Çıray, & Mustafa Bahçeci. (2009). Adjusting decision threshold in Naive Bayes based IVF embryo selection. 55. 1–4. 3 indexed citations
14.
Uyar, Aslı, Ayşe Bener, H. Nadir Çıray, & Mustafa Bahçeci. (2009). Predicting Implantation Outcome from Imbalanced IVF Dataset. 5 indexed citations
15.
Uyar, Aslı & Fikret Gürgen. (2007). Arrhythmia Classification Using Serial Fusion of Support Vector Machines and Logistic Regression. 2388. 560–565. 25 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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2026