Ünal Sakoğlu

1.6k total citations
35 papers, 1.2k citations indexed

About

Ünal Sakoğlu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ünal Sakoğlu has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ünal Sakoğlu's work include Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (6 papers) and Advanced Semiconductor Detectors and Materials (6 papers). Ünal Sakoğlu is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (6 papers) and Advanced Semiconductor Detectors and Materials (6 papers). Ünal Sakoğlu collaborates with scholars based in United States, Türkiye and Germany. Ünal Sakoğlu's co-authors include Andrew M. Michael, Vince D. Calhoun, Godfrey D. Pearlson, Kent A. Kiehl, Şengül Doğan, Türker Tuncer, Abdülhamit Subaşı, Varadraj P. Gurupur, Majeed M. Hayat and J. Scott Tyo and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Neurochemistry.

In The Last Decade

Ünal Sakoğlu

32 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ünal Sakoğlu United States 15 751 336 214 89 83 35 1.2k
Martin Luessi United States 11 1.1k 1.5× 148 0.4× 154 0.7× 91 1.0× 55 0.7× 18 1.5k
Pablo Balenzuela Argentina 16 1.3k 1.7× 275 0.8× 99 0.5× 58 0.7× 56 0.7× 45 1.7k
Adrián Ponce‐Alvarez Spain 21 1.7k 2.3× 450 1.3× 132 0.6× 88 1.0× 64 0.8× 37 1.9k
Okito Yamashita Japan 18 1.2k 1.6× 384 1.1× 87 0.4× 44 0.5× 148 1.8× 63 1.6k
Shan Yu China 27 1.6k 2.1× 142 0.4× 109 0.5× 186 2.1× 172 2.1× 95 2.7k
Silvia Comani Italy 29 1.3k 1.7× 223 0.7× 89 0.4× 66 0.7× 40 0.5× 91 2.3k
J.P.A. Verbunt Netherlands 15 1.7k 2.2× 345 1.0× 135 0.6× 87 1.0× 27 0.3× 22 2.0k
John E. McCarthy United States 21 529 0.7× 308 0.9× 82 0.4× 179 2.0× 41 0.5× 120 2.4k
Jorge Riera United States 24 1.4k 1.9× 369 1.1× 85 0.4× 77 0.9× 73 0.9× 77 1.9k
An T. Vu United States 18 1.5k 2.1× 774 2.3× 133 0.6× 72 0.8× 119 1.4× 34 2.2k

Countries citing papers authored by Ünal Sakoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Ünal Sakoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ünal Sakoğlu

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

All Works

20 of 20 papers shown
1.
Sakoğlu, Ünal, et al.. (2025). Thyroid Disease Multi-Class Classification. Procedia Computer Science. 258. 3649–3658.
2.
Sakoğlu, Ünal, et al.. (2025). Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation. Neuroimage Reports. 5(1). 100235–100235. 1 indexed citations
3.
Sakoğlu, Ünal, et al.. (2024). Enhanced Travel Experience using Artificial Intelligence: A Data-driven Approach. Procedia Computer Science. 235. 1920–1928. 6 indexed citations
4.
5.
Sakoğlu, Ünal, et al.. (2020). Multiple sclerosis lesion detection in multimodal MRI using simple clustering-based segmentation and classification. Informatics in Medicine Unlocked. 20. 100409–100409. 15 indexed citations
6.
LeVan, Paul D. & Ünal Sakoğlu. (2020). Infrared sensing technologies assisting environmental monitoring. 10–10. 10 indexed citations
7.
Sakoğlu, Ünal, et al.. (2019). Classification of cocaine‐dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data. Journal of Neuroscience Research. 97(7). 790–803. 22 indexed citations
8.
Gopinath, Kaundinya, Ünal Sakoğlu, Bruce Crosson, & Robert W. Haley. (2019). Exploring brain mechanisms underlying Gulf War Illness with group ICA based analysis of fMRI resting state networks. Neuroscience Letters. 701. 136–141. 12 indexed citations
9.
Mete, Mutlu, Ünal Sakoğlu, Jeffrey S. Spence, et al.. (2016). Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach. BMC Bioinformatics. 17(S13). 357–357. 33 indexed citations
10.
Kaçar, Sezgin & Ünal Sakoğlu. (2015). Design of a novel biomedical signal processing and analysis tool for functional neuroimaging. Computer Methods and Programs in Biomedicine. 125. 46–57. 4 indexed citations
11.
Gurupur, Varadraj P., Ünal Sakoğlu, Gauri Jain, & U. John Tanik. (2014). Semantic requirements sharing approach to develop software systems using concept maps and information entropy: A Personal Health Information System example. Advances in Engineering Software. 70. 25–35. 22 indexed citations
12.
Sakoğlu, Ünal, Jaymin Upadhyay, Chih‐Liang Chin, et al.. (2011). Paradigm shift in translational neuroimaging of CNS disorders. Biochemical Pharmacology. 81(12). 1374–1387. 21 indexed citations
13.
Upadhyay, Jaymin, Scott Baker, Prasant Chandran, et al.. (2011). Default-Mode-Like Network Activation in Awake Rodents. PLoS ONE. 6(11). e27839–e27839. 74 indexed citations
14.
Michael, Andrew M., Margaret King, Stefan Ehrlich, et al.. (2011). A Data-Driven Investigation of Gray Matter–Function Correlations in Schizophrenia during a Working Memory Task. Frontiers in Human Neuroscience. 5. 71–71. 20 indexed citations
15.
Sakoğlu, Ünal, et al.. (2010). A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia. Magnetic Resonance Materials in Physics Biology and Medicine. 23(5-6). 351–366. 493 indexed citations
16.
Sakoğlu, Ünal, et al.. (2009). Application of FT-based MMSE deconvolution method for cerebral blood flow measurement in patients with leukoaraiosis. Magnetic Resonance Imaging. 27(5). 625–630. 1 indexed citations
17.
Liu, Wenlan, Rohit Sood, Qingchuan Chen, et al.. (2008). Normobaric hyperoxia inhibits NADPH oxidase‐mediated matrix metalloproteinase‐9 induction in cerebral microvessels in experimental stroke. Journal of Neurochemistry. 107(5). 1196–1205. 91 indexed citations
18.
Sakoğlu, Ünal & Rohit Sood. (2008). Cerebral blood flow estimation from perfusion-weighted MRI using FT-based MMSE filtering method. Magnetic Resonance Imaging. 26(3). 313–322. 5 indexed citations
19.
Pai, Manjunath P., Ünal Sakoğlu, Steven L. Peterson, C. Richard Lyons, & Rohit Sood. (2008). Characterization of BBB Permeability in a Preclinical Model of Cryptococcal Meningoencephalitis Using Magnetic Resonance Imaging. Journal of Cerebral Blood Flow & Metabolism. 29(3). 545–553. 11 indexed citations
20.
Sakoğlu, Ünal, Majeed M. Hayat, J. Scott Tyo, et al.. (2006). Statistical adaptive sensing by detectors with spectrally overlapping bands. Applied Optics. 45(28). 7224–7224. 18 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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