Murat Can Çobanoğlu

561 total citations
16 papers, 353 citations indexed

About

Murat Can Çobanoğlu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Murat Can Çobanoğlu has authored 16 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Murat Can Çobanoğlu's work include Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Murat Can Çobanoğlu is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Murat Can Çobanoğlu collaborates with scholars based in United States, Türkiye and China. Murat Can Çobanoğlu's co-authors include İvet Bahar, Zoltán N. Oltvai, Chang Liu, Ethan R. Block, Alexander Sorkin, Mary Hongying Cheng, Osman Uğur Sezerman, John C. Alexander, Bryan T. Romito and Yücel Saygın and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Murat Can Çobanoğlu

16 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Murat Can Çobanoğlu United States	9	234	138	60	25	24	16	353
Jielin Xu United States	13	362 1.5×	126 0.9×	18 0.3×	26 1.0×	32 1.3×	27	684
Sezen Vatansever United States	7	244 1.0×	118 0.9×	24 0.4×	22 0.9×	24 1.0×	11	449
Uma D. Vempati United States	13	466 2.0×	180 1.3×	17 0.3×	55 2.2×	28 1.2×	21	587
Marek Ostaszewski Luxembourg	15	400 1.7×	56 0.4×	56 0.9×	42 1.7×	9 0.4×	48	661
Thamani Dahoun Switzerland	6	323 1.4×	256 1.9×	62 1.0×	29 1.2×	17 0.7×	6	565
Matthias Oesterheld Germany	5	470 2.0×	96 0.7×	72 1.2×	12 0.5×	12 0.5×	7	521
Linshan Xie China	6	328 1.4×	52 0.4×	159 2.6×	6 0.2×	18 0.8×	8	471
Clemens B. Hug Germany	7	635 2.7×	84 0.6×	13 0.2×	18 0.7×	42 1.8×	9	757
Nathan Johnson United States	8	209 0.9×	87 0.6×	11 0.2×	19 0.8×	40 1.7×	15	433

Countries citing papers authored by Murat Can Çobanoğlu

Since Specialization

Citations

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

Fields of papers citing papers by Murat Can Çobanoğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murat Can Çobanoğlu. 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 Murat Can Çobanoğlu. The network helps show where Murat Can Çobanoğlu may publish in the future.

Co-authorship network of co-authors of Murat Can Çobanoğlu

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

All Works

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16 of 16 papers shown

Nguyen, Son Hoang, Keith Hulsey, Murat Can Çobanoğlu, et al.. (2024). Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural Network. Radiology Imaging Cancer. 6(3). e230107–e230107. 3 indexed citations

Estrada, Leonardo D., et al.. (2022). Adrenergic signaling controls early transcriptional programs during CD8+ T cell responses to viral infection. PLoS ONE. 17(8). e0272017–e0272017. 7 indexed citations

Çobanoğlu, Murat Can, et al.. (2022). Haisu: Hierarchically supervised nonlinear dimensionality reduction. PLoS Computational Biology. 18(7). e1010351–e1010351. 1 indexed citations

Çobanoğlu, Murat Can, et al.. (2021). Democratizing AI in biomedical image classification using virtual reality. Virtual Reality. 26(1). 159–171. 8 indexed citations

Alexander, John C., Bryan T. Romito, & Murat Can Çobanoğlu. (2020). The present and future role of artificial intelligence and machine learning in anesthesiology. International Anesthesiology Clinics. 58(4). 7–16. 15 indexed citations

Amin, Viren, et al.. (2019). Accurate differential analysis of transcription factor activity from gene expression. Bioinformatics. 35(23). 5018–5029. 2 indexed citations

Wang, Yan, Murat Can Çobanoğlu, Jie Li, et al.. (2019). An analog of glibenclamide selectively enhances autophagic degradation of misfolded α1-antitrypsin Z. PLoS ONE. 14(1). e0209748–e0209748. 15 indexed citations

Murali, Vasanth S., Bo-Jui Chang, Reto Fiolka, et al.. (2019). An image-based assay to quantify changes in proliferation and viability upon drug treatment in 3D microenvironments. BMC Cancer. 19(1). 502–502. 16 indexed citations

Pei, Fen, Hongchun Li, Mark J. Henderson, et al.. (2017). Connecting Neuronal Cell Protective Pathways and Drug Combinations in a Huntington’s Disease Model through the Application of Quantitative Systems Pharmacology. Scientific Reports. 7(1). 17803–17803. 16 indexed citations

10.

Cheng, Mary Hongying, et al.. (2015). Insights into the Modulation of Dopamine Transporter Function by Amphetamine, Orphenadrine, and Cocaine Binding. Frontiers in Neurology. 6. 134–134. 61 indexed citations

11.

O’Reilly, Linda P., Olivia S. Long, Murat Can Çobanoğlu, et al.. (2014). A genome-wide RNAi screen identifies potential drug targets in a C. elegans model of α1-antitrypsin deficiency. Human Molecular Genetics. 23(19). 5123–5132. 30 indexed citations

12.

Çobanoğlu, Murat Can, Zoltán N. Oltvai, D. Lansing Taylor, & İvet Bahar. (2014). BalestraWeb: efficient online evaluation of drug–target interactions. Bioinformatics. 31(1). 131–133. 15 indexed citations

13.

Çobanoğlu, Murat Can, et al.. (2013). Predicting Drug–Target Interactions Using Probabilistic Matrix Factorization. Journal of Chemical Information and Modeling. 53(12). 3399–3409. 137 indexed citations

14.

Çobanoğlu, Murat Can, et al.. (2013). GlyphLink: An interactive visualization approach for semantic graphs. Journal of Visual Languages & Computing. 24(6). 463–471. 7 indexed citations

15.

Kim, Hyun, Mark E. Bernard, Julie P. Goff, et al.. (2012). Ionizing irradiation protection and mitigation of murine cells by carbamazepine is p53 and autophagy independent.. In Vivo. 26(3). 341–54. 5 indexed citations

16.

Çobanoğlu, Murat Can, Yücel Saygın, & Osman Uğur Sezerman. (2010). Classification of GPCRs Using Family Specific Motifs. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(6). 1495–1508. 15 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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