Gökhan Günay

745 total citations
20 papers, 554 citations indexed

About

Gökhan Günay is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Gökhan Günay has authored 20 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Immunology. Recurrent topics in Gökhan Günay's work include RNA Interference and Gene Delivery (5 papers), Supramolecular Self-Assembly in Materials (4 papers) and Optical Coherence Tomography Applications (3 papers). Gökhan Günay is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Supramolecular Self-Assembly in Materials (4 papers) and Optical Coherence Tomography Applications (3 papers). Gökhan Günay collaborates with scholars based in United States, Türkiye and Netherlands. Gökhan Günay's co-authors include Handan Acar, Mustafa O. Güler, Ayşe B. Tekinay, Luise Erpenbeck, Sebastian Kruss, Elsa Neubert, Michael P. Schön, Daniel Meyer, Claudia Geisler and Alexander Egner and has published in prestigious journals such as Nature Communications, ACS Applied Materials & Interfaces and Frontiers in Immunology.

In The Last Decade

Gökhan Günay

18 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gökhan Günay United States 13 204 196 154 137 63 20 554
Christina Eich Netherlands 17 247 1.2× 349 1.8× 173 1.1× 90 0.7× 86 1.4× 29 727
Pu Shi United States 11 67 0.3× 214 1.1× 70 0.5× 206 1.5× 41 0.7× 12 543
Matthias P. Domogalla Germany 7 355 1.7× 241 1.2× 134 0.9× 174 1.3× 101 1.6× 9 731
Qingfeng Chen Singapore 14 198 1.0× 395 2.0× 179 1.2× 76 0.6× 152 2.4× 20 825
Elizabeth Wayne United States 8 157 0.8× 244 1.2× 164 1.1× 111 0.8× 117 1.9× 20 505
Raisa Y. Kiseleva United States 14 64 0.3× 442 2.3× 300 1.9× 239 1.7× 85 1.3× 17 916
Neeraja Dharmaraj United States 14 314 1.5× 258 1.3× 97 0.6× 75 0.5× 137 2.2× 20 604
Kameron V. Kilchrist United States 15 91 0.4× 689 3.5× 201 1.3× 267 1.9× 60 1.0× 21 959
Dean K. Pettit United States 11 255 1.3× 225 1.1× 64 0.4× 78 0.6× 63 1.0× 12 669
Rachel Truitt United States 10 82 0.4× 274 1.4× 184 1.2× 59 0.4× 60 1.0× 10 681

Countries citing papers authored by Gökhan Günay

Since Specialization
Citations

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

Fields of papers citing papers by Gökhan Günay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gökhan Günay

This figure shows the co-authorship network connecting the top 25 collaborators of Gökhan Günay. A scholar is included among the top collaborators of Gökhan Günay 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 Gökhan Günay. Gökhan Günay 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.
Yan, Feng, Gökhan Günay, Qinghao Zhang, et al.. (2024). Optical coherence tomography for multicellular tumor spheroid category recognition and drug screening classification via multi-spatial-superficial-parameter and machine learning. Biomedical Optics Express. 15(4). 2014–2014. 5 indexed citations
2.
Günay, Gökhan, et al.. (2022). Peptide Aggregation Induced Immunogenic Rupture (PAIIR). Advanced Science. 9(21). e2105868–e2105868. 13 indexed citations
3.
Günay, Gökhan, et al.. (2022). Controllable membrane damage by tunable peptide aggregation with albumin. AIChE Journal. 68(12). 1 indexed citations
4.
Yan, Feng, Gökhan Günay, Chen Wang, et al.. (2021). Characterization and quantification of necrotic tissues and morphology in multicellular ovarian cancer tumor spheroids using optical coherence tomography. Biomedical Optics Express. 12(6). 3352–3352. 16 indexed citations
5.
6.
Günay, Gökhan, et al.. (2021). Small Molecule Targeting of Oxysterol-Binding Protein (OSBP)-Related Protein 4 and OSBP Inhibits Ovarian Cancer Cell Proliferation in Monolayer and Spheroid Cell Models. ACS Pharmacology & Translational Science. 4(2). 744–756. 15 indexed citations
7.
Günay, Gökhan, et al.. (2020). The effects of size and shape of the ovarian cancer spheroids on the drug resistance and migration. Gynecologic Oncology. 159(2). 563–572. 38 indexed citations
8.
Günay, Gökhan, et al.. (2020). Evaluation of Teachers' Motivation and Participation Levels in Professional Development Activities. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Günay, Gökhan, et al.. (2020). Natural and Synthetic Biomaterials for Engineering Multicellular Tumor Spheroids. Polymers. 12(11). 2506–2506. 68 indexed citations
10.
Erpenbeck, Luise, Gökhan Günay, Daniel Meyer, et al.. (2019). Effect of Adhesion and Substrate Elasticity on Neutrophil Extracellular Trap Formation. Frontiers in Immunology. 10. 2320–2320. 44 indexed citations
11.
Neubert, Elsa, Daniel Meyer, F. Rocca, et al.. (2018). Chromatin swelling drives neutrophil extracellular trap release. Nature Communications. 9(1). 3767–3767. 179 indexed citations
12.
Günay, Gökhan, et al.. (2018). Tenascin-C derived signaling induces neuronal differentiation in a three-dimensional peptide nanofiber gel. Biomaterials Science. 6(7). 1859–1868. 21 indexed citations
13.
Günay, Gökhan, Xhenti Ferhati, Barbara Richichi, et al.. (2017). Antigenic GM3 Lactone Mimetic Molecule Integrated Mannosylated Glycopeptide Nanofibers for the Activation and Maturation of Dendritic Cells. ACS Applied Materials & Interfaces. 9(19). 16035–16042. 22 indexed citations
14.
Gündüz, Nuray, Gökhan Günay, Ahmet Emin Topal, et al.. (2017). A Modular Antigen Presenting Peptide/Oligonucleotide Nanostructure Platform for Inducing Potent Immune Response. Advanced Biosystems. 1(5). e1700015–e1700015. 7 indexed citations
15.
Günay, Gökhan, et al.. (2017). Three‐Dimensional Laminin Mimetic Peptide Nanofiber Gels for In Vitro Neural Differentiation. Biotechnology Journal. 12(12). 16 indexed citations
16.
Günay, Gökhan, et al.. (2017). Semiautomated registration of pre- and intraoperative CT for image-guided percutaneous liver tumor ablation interventions. Medical Physics. 44(7). 3718–3725. 14 indexed citations
17.
Çınar, Göksu, et al.. (2016). Local delivery of doxorubicin through supramolecular peptide amphiphile nanofiber gels. Biomaterials Science. 5(1). 67–76. 53 indexed citations
18.
Günay, Gökhan, et al.. (2016). Cellular Internalization of Therapeutic Oligonucleotides by Peptide Amphiphile Nanofibers and Nanospheres. ACS Applied Materials & Interfaces. 8(18). 11280–11287. 33 indexed citations
19.
Günay, Gökhan, et al.. (2016). Semi-automated registration of pre- and intra-operative liver CT for image-guided interventions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9784. 97841N–97841N. 7 indexed citations
20.

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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