S. Banu Ozkan

4.4k total citations · 1 hit paper
76 papers, 3.2k citations indexed

About

S. Banu Ozkan is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, S. Banu Ozkan has authored 76 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 19 papers in Materials Chemistry and 15 papers in Genetics. Recurrent topics in S. Banu Ozkan's work include Protein Structure and Dynamics (44 papers), RNA and protein synthesis mechanisms (22 papers) and Enzyme Structure and Function (19 papers). S. Banu Ozkan is often cited by papers focused on Protein Structure and Dynamics (44 papers), RNA and protein synthesis mechanisms (22 papers) and Enzyme Structure and Function (19 papers). S. Banu Ozkan collaborates with scholars based in United States, Türkiye and Saudi Arabia. S. Banu Ozkan's co-authors include Ken A. Dill, Thomas R. Weikl, M. Scott Shell, Z. Nevin Gerek, İvet Bahar, Sudhir Kumar, Tushar Modi, Paul Campitelli, John D. Chodera and José M. Sánchez‐Ruiz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

S. Banu Ozkan

73 papers receiving 3.2k citations

Hit Papers

The Protein Folding Problem 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Banu Ozkan United States 28 2.7k 1.0k 334 308 264 76 3.2k
David D. Boehr United States 21 3.3k 1.2× 1.1k 1.0× 266 0.8× 611 2.0× 315 1.2× 61 4.0k
John Karanicolas United States 29 3.6k 1.3× 988 1.0× 163 0.5× 284 0.9× 463 1.8× 66 4.3k
Elan Eisenmesser United States 30 3.3k 1.2× 813 0.8× 198 0.6× 487 1.6× 137 0.5× 76 4.5k
Magnus Wolf‐Watz Sweden 24 2.9k 1.1× 1.3k 1.2× 205 0.6× 522 1.7× 164 0.6× 56 3.6k
Yves‐Henri Sanejouand France 24 2.7k 1.0× 1.1k 1.0× 185 0.6× 317 1.0× 219 0.8× 51 3.4k
José L. Neira Spain 38 3.5k 1.3× 1.2k 1.2× 287 0.9× 365 1.2× 103 0.4× 195 4.4k
Jörg Gsponer Canada 30 3.0k 1.1× 707 0.7× 264 0.8× 294 1.0× 156 0.6× 68 3.7k
Bojan Žagrović Austria 33 3.6k 1.3× 1.4k 1.4× 177 0.5× 535 1.7× 270 1.0× 83 4.4k
Steven Hayward United Kingdom 31 3.0k 1.1× 2.0k 1.9× 250 0.7× 402 1.3× 225 0.9× 79 4.2k
Daniel R. Ripoll United States 39 3.4k 1.2× 1.1k 1.1× 279 0.8× 449 1.5× 400 1.5× 100 4.9k

Countries citing papers authored by S. Banu Ozkan

Since Specialization
Citations

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

Fields of papers citing papers by S. Banu Ozkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Banu Ozkan. 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 S. Banu Ozkan. The network helps show where S. Banu Ozkan may publish in the future.

Co-authorship network of co-authors of S. Banu Ozkan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Banu Ozkan. A scholar is included among the top collaborators of S. Banu Ozkan 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 S. Banu Ozkan. S. Banu Ozkan 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.
Ozkan, S. Banu, et al.. (2025). Coarse-grained RNA model for the Martini 3 force field. Biophysical Journal. 125(2). 445–456.
2.
Mana, Miyeko, et al.. (2024). Evidence that the cold- and menthol-sensing functions of the human TRPM8 channel evolved separately. Science Advances. 10(25). eadm9228–eadm9228. 3 indexed citations
5.
Mills, Jeremy H., et al.. (2023). Allosteric regulatory control in dihydrofolate reductase is revealed by dynamic asymmetry. Protein Science. 32(8). e4700–e4700. 11 indexed citations
6.
Sharma, Prerna, et al.. (2022). Design of novel cyanovirin-N variants by modulation of binding dynamics through distal mutations. eLife. 11. 14 indexed citations
7.
Campitelli, Paul, Tushar Modi, Sudhir Kumar, & S. Banu Ozkan. (2020). The Role of Conformational Dynamics and Allostery in Modulating Protein Evolution. Annual Review of Biophysics. 49(1). 267–288. 122 indexed citations
8.
Campitelli, Paul, Liskin Swint‐Kruse, & S. Banu Ozkan. (2020). Substitutions at Nonconserved Rheostat Positions Modulate Function by Rewiring Long-Range, Dynamic Interactions. Molecular Biology and Evolution. 38(1). 201–214. 32 indexed citations
9.
Kumar, Avishek, et al.. (2020). Dynamic Allosteric Residue Coupling Reveals Disease Mechanism for Gaucher Disease and NSNVS Across the Proteome. Biophysical Journal. 118(3). 53a–53a. 2 indexed citations
10.
Modi, Tushar, Jonathan Huihui, Kingshuk Ghosh, & S. Banu Ozkan. (2018). Ancient thioredoxins evolved to modern-day stability–function requirement by altering native state ensemble. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1749). 20170184–20170184. 46 indexed citations
11.
Campitelli, Paul, Jingjing Guo, Huan‐Xiang Zhou, & S. Banu Ozkan. (2018). Hinge-Shift Mechanism Modulates Allosteric Regulations in Human Pin1. The Journal of Physical Chemistry B. 122(21). 5623–5629. 27 indexed citations
12.
Larrimore, Katherine E., Latha Kannan, Stephen Brimijoin, et al.. (2017). Plant-expressed cocaine hydrolase variants of butyrylcholinesterase exhibit altered allosteric effects of cholinesterase activity and increased inhibitor sensitivity. Scientific Reports. 7(1). 10419–10419. 24 indexed citations
13.
Kumar, Avishek, et al.. (2015). The Role of Conformational Dynamics and Allostery in the Disease Development of Human Ferritin. Biophysical Journal. 109(6). 1273–1281. 49 indexed citations
14.
Wang, Xu, et al.. (2014). A Flexible Docking Scheme Efficiently Captures the Energetics of Glycan-Cyanovirin Binding. Biophysical Journal. 106(5). 1142–1151. 11 indexed citations
15.
Farrell, Damien, et al.. (2012). Collective Dynamics Differentiates Functional Divergence in Protein Evolution. PLoS Computational Biology. 8(3). e1002428–e1002428. 25 indexed citations
16.
Gerek, Z. Nevin, et al.. (2011). Perturbation Response Scanning Method for Identifying Allosteric Transitions and Utilizing in Flexible Docking. Biophysical Journal. 100(3). 372a–373a. 2 indexed citations
17.
Ozkan, S. Banu, et al.. (2010). Union of Geometric Constraint-Based Simulations with Molecular Dynamics for Protein Structure Prediction. Biophysical Journal. 98(6). 1046–1054. 6 indexed citations
18.
Shell, M. Scott, S. Banu Ozkan, Vincent A. Voelz, Guohong Wu, & Ken A. Dill. (2009). Blind Test of Physics-Based Prediction of Protein Structures. Biophysical Journal. 96(3). 917–924. 36 indexed citations
19.
Gerek, Z. Nevin, Özlem Keskin, & S. Banu Ozkan. (2009). Identification of specificity and promiscuity of PDZ domain interactions through their dynamic behavior. Proteins Structure Function and Bioinformatics. 77(4). 796–811. 54 indexed citations
20.
Engen, John R., Thomas E. Wales, James Michael Hochrein, et al.. (2008). Structure and dynamic regulation of Src-family kinases. Cellular and Molecular Life Sciences. 65(19). 3058–3073. 145 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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