Ebru Demet Akten

684 total citations
24 papers, 578 citations indexed

About

Ebru Demet Akten is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ebru Demet Akten has authored 24 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Ebru Demet Akten's work include Receptor Mechanisms and Signaling (11 papers), Protein Structure and Dynamics (8 papers) and Computational Drug Discovery Methods (5 papers). Ebru Demet Akten is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Protein Structure and Dynamics (8 papers) and Computational Drug Discovery Methods (5 papers). Ebru Demet Akten collaborates with scholars based in Türkiye, United States and France. Ebru Demet Akten's co-authors include David S. Sholl, Ranjani Siriwardane, Daniela Kohen, Anne Goj, Pemra Doruker, Wayne L. Mattice, Zeynep Kurkcuoglu, Nuray Söğünmez, Önder Pekcan and Vi̇ktorya Avi̇yente and has published in prestigious journals such as Journal of Molecular Biology, The Journal of Physical Chemistry B and Macromolecules.

In The Last Decade

Ebru Demet Akten

22 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ebru Demet Akten Türkiye 9 277 251 185 160 112 24 578
Qia Ke China 6 57 0.2× 53 0.2× 94 0.5× 62 0.4× 80 0.7× 9 326
Ming‐Chuan Cheng Taiwan 15 153 0.6× 89 0.4× 124 0.7× 122 0.8× 17 0.2× 35 719
Yoshitaka Nakamura Japan 17 244 0.9× 139 0.6× 131 0.7× 277 1.7× 58 0.5× 26 981
Vijay Potluri India 9 10 0.0× 69 0.3× 53 0.3× 81 0.5× 141 1.3× 15 392
Shihao Li China 12 82 0.3× 61 0.2× 336 1.8× 100 0.6× 86 0.8× 20 540
Feifei Wu China 17 255 0.9× 33 0.1× 54 0.3× 124 0.8× 118 1.1× 43 762
Tomohiro Hattori Japan 15 130 0.5× 17 0.1× 78 0.4× 208 1.3× 87 0.8× 42 679
O. David Redwine United States 10 28 0.1× 41 0.2× 66 0.4× 60 0.4× 51 0.5× 13 757
Haoxuan Wang China 14 54 0.2× 72 0.3× 63 0.3× 119 0.7× 57 0.5× 28 546
Boya Wang China 10 21 0.1× 33 0.1× 80 0.4× 356 2.2× 204 1.8× 14 487

Countries citing papers authored by Ebru Demet Akten

Since Specialization
Citations

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

Fields of papers citing papers by Ebru Demet Akten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ebru Demet Akten. 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 Ebru Demet Akten. The network helps show where Ebru Demet Akten may publish in the future.

Co-authorship network of co-authors of Ebru Demet Akten

This figure shows the co-authorship network connecting the top 25 collaborators of Ebru Demet Akten. A scholar is included among the top collaborators of Ebru Demet Akten 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 Ebru Demet Akten. Ebru Demet Akten 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.
Gautam, Madhav, et al.. (2025). Hydrogels from Protein–Polymer Conjugates: A Pathway to Next-Generation Biomaterials. Gels. 11(2). 96–96. 2 indexed citations
2.
Sesal, Nüzhet Cenk, Özge Kürkçüoğlu, Xin Du, et al.. (2024). Effective drug design screening in bacterial glycolytic enzymes via targeting alternative allosteric sites. Archives of Biochemistry and Biophysics. 762. 110190–110190.
3.
Kürkçüoğlu, Özge, et al.. (2023). Tunnel-like region observed as a potential allosteric site in Staphylococcus aureus Glyceraldehyde-3-phosphate dehydrogenase. Archives of Biochemistry and Biophysics. 752. 109875–109875.
4.
Söğünmez, Nuray & Ebru Demet Akten. (2022). Information Transfer in Active States of Human β2-Adrenergic Receptor via Inter-Rotameric Motions of Loop Regions. Applied Sciences. 12(17). 8530–8530. 2 indexed citations
5.
Akten, Ebru Demet, et al.. (2022). Altered Dynamics of S. aureus Phosphofructokinase via Bond Restraints at Two Distinct Allosteric Binding Sites. Journal of Molecular Biology. 434(17). 167646–167646. 1 indexed citations
6.
7.
Akten, Ebru Demet, et al.. (2021). Drug repositioning to propose alternative modulators for glucocorticoid receptor through structure-based virtual screening. Journal of Biomolecular Structure and Dynamics. 40(21). 11418–11433. 3 indexed citations
8.
Akten, Ebru Demet, et al.. (2020). Identification of Alternative Allosteric Sites in Glycolytic Enzymes for Potential Use as Species-Specific Drug Targets. Frontiers in Molecular Biosciences. 7. 88–88. 22 indexed citations
9.
Söğünmez, Nuray & Ebru Demet Akten. (2020). Distinctive communication networks in inactive states of β 2 ‐adrenergic receptor: Mutual information and entropy transfer analysis. Proteins Structure Function and Bioinformatics. 88(11). 1458–1471. 6 indexed citations
10.
11.
Söğünmez, Nuray & Ebru Demet Akten. (2019). Intrinsic Dynamics and Causality in Correlated Motions Unraveled in Two Distinct Inactive States of Human β2-Adrenergic Receptor. The Journal of Physical Chemistry B. 123(17). 3630–3642. 2 indexed citations
12.
Avi̇yente, Vi̇ktorya, et al.. (2017). Assessing protein–ligand binding modes with computational tools: the case of PDE4B. Journal of Computer-Aided Molecular Design. 31(6). 563–575. 1 indexed citations
13.
Doruker, Pemra, et al.. (2016). Investigation of allosteric coupling in human β2-adrenergic receptor in the presence of intracellular loop 3. BMC Structural Biology. 16(1). 9–9. 17 indexed citations
14.
Kurkcuoglu, Zeynep, et al.. (2015). How an Inhibitor Bound to Subunit Interface Alters Triosephosphate Isomerase Dynamics. Biophysical Journal. 109(6). 1169–1178. 25 indexed citations
15.
Akten, Ebru Demet, et al.. (2014). Transmembrane helix 6 observed at the interface of β2AR homodimers in blind docking studies. Journal of Biomolecular Structure and Dynamics. 33(7). 1503–1515. 3 indexed citations
16.
Akten, Ebru Demet, et al.. (2014). Discovery of high affinity ligands for β2-adrenergic receptor through pharmacophore-based high-throughput virtual screening and docking. Journal of Molecular Graphics and Modelling. 53. 148–160. 3 indexed citations
17.
Doruker, Pemra, et al.. (2014). Effect of Intracellular Loop 3 on Intrinsic Dynamics of Human β2-Adrenergic Receptor. Biophysical Journal. 106(2). 53a–53a. 1 indexed citations
18.
Doruker, Pemra, et al.. (2013). Effect of intracellular loop 3 on intrinsic dynamics of human β2-adrenergic receptor. BMC Structural Biology. 13(1). 29–29. 30 indexed citations
19.
Avi̇yente, Vi̇ktorya, et al.. (2012). Molecular Docking Study Based on Pharmacophore Modeling for Novel PhosphodiesteraseIV Inhibitors. Molecular Informatics. 31(6-7). 459–471. 5 indexed citations
20.
Akten, Ebru Demet, et al.. (2009). A Docking Study Using Atomistic Conformers Generated via Elastic Network Model for Cyclosporin A/Cyclophilin A Complex. Journal of Biomolecular Structure and Dynamics. 27(1). 13–25. 40 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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