Gözde Eskici

770 total citations · 1 hit paper
13 papers, 572 citations indexed

About

Gözde Eskici is a scholar working on Molecular Biology, Organic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Gözde Eskici has authored 13 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Organic Chemistry and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Gözde Eskici's work include Surfactants and Colloidal Systems (5 papers), Protein Structure and Dynamics (4 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Gözde Eskici is often cited by papers focused on Surfactants and Colloidal Systems (5 papers), Protein Structure and Dynamics (4 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Gözde Eskici collaborates with scholars based in United States, Türkiye and Italy. Gözde Eskici's co-authors include Paul H. Axelsen, Mert Gür, Georgios Skiniotis, Brian K. Kobilka, Daniel Hilger, Lise Giehm, Asuka Inoue, Evan S. O’Brien, Ouliana Panova and Kaavya Krishna Kumar and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Gözde Eskici

12 papers receiving 566 citations

Hit Papers

Time-resolved cryo-EM of ... 2024 2026 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gözde Eskici United States 8 268 158 100 88 84 13 572
Michael C. Owen Hungary 13 433 1.6× 308 1.9× 74 0.7× 73 0.8× 58 0.7× 35 707
Velia Minicozzi Italy 15 355 1.3× 319 2.0× 24 0.2× 45 0.5× 143 1.7× 52 723
Jorge Alí‐Torres Colombia 14 145 0.5× 199 1.3× 133 1.3× 18 0.2× 42 0.5× 43 523
Olivia Berthoumieu United Kingdom 8 305 1.1× 430 2.7× 27 0.3× 78 0.9× 94 1.1× 9 650
Chanki Ha United States 8 330 1.2× 400 2.5× 77 0.8× 41 0.5× 100 1.2× 10 749
Michael R. Jones Canada 10 135 0.5× 179 1.1× 129 1.3× 31 0.4× 49 0.6× 14 461
Dahabada H. J. Lopes United States 13 581 2.2× 564 3.6× 67 0.7× 56 0.6× 31 0.4× 19 1.0k
Kristine Prendergast United States 12 333 1.2× 58 0.4× 209 2.1× 86 1.0× 58 0.7× 14 750
Ying‐Chieh Sun Taiwan 17 274 1.0× 101 0.6× 105 1.1× 75 0.9× 11 0.1× 47 718
Ashim Paul India 16 425 1.6× 376 2.4× 117 1.2× 49 0.6× 16 0.2× 38 814

Countries citing papers authored by Gözde Eskici

Since Specialization
Citations

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

Fields of papers citing papers by Gözde Eskici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gözde Eskici

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

All Works

13 of 13 papers shown
1.
Papasergi-Scott, Makaía M., Guillermo Pérez‐Hernández, Hossein Batebi, et al.. (2024). Time-resolved cryo-EM of G-protein activation by a GPCR. Nature. 629(8014). 1182–1191. 53 indexed citations breakdown →
2.
Gao, Yang, Gözde Eskici, Sekar Ramachandran, et al.. (2021). Structure of the visual signaling complex between transducin and phosphodiesterase 6. Molecular Cell. 81(11). 2496–2496. 3 indexed citations
3.
Hilger, Daniel, Kaavya Krishna Kumar, Hongli Hu, et al.. (2020). Structural insights into differences in G protein activation by family A and family B GPCRs. Science. 369(6503). 96 indexed citations
4.
Gao, Yang, Gözde Eskici, Sekar Ramachandran, et al.. (2020). Structure of the Visual Signaling Complex between Transducin and Phosphodiesterase 6. Molecular Cell. 80(2). 237–245.e4. 25 indexed citations
5.
Palmer, Nicholas J., Gözde Eskici, & Paul H. Axelsen. (2019). Non-Equilibrium Mass Exchange in AOT Reverse Micelles. The Journal of Physical Chemistry B. 124(1). 144–148. 3 indexed citations
6.
Eskici, Gözde & Paul H. Axelsen. (2018). Mass Exchange and Equilibration Processes in AOT Reverse Micelles. Langmuir. 34(7). 2522–2530. 4 indexed citations
7.
Eskici, Gözde & Paul H. Axelsen. (2017). Amyloid Beta Peptide Folding in Reverse Micelles. Journal of the American Chemical Society. 139(28). 9566–9575. 19 indexed citations
8.
Eskici, Gözde & Paul H. Axelsen. (2016). The Size of a Reverse Micelle. Biophysical Journal. 110(3). 571a–571a. 1 indexed citations
9.
Eskici, Gözde & Paul H. Axelsen. (2016). The Size of AOT Reverse Micelles. The Journal of Physical Chemistry B. 120(44). 11337–11347. 52 indexed citations
10.
Eskici, Gözde & Paul H. Axelsen. (2014). Molecular Modeling and Simulations of Reverse Micelles. Biophysical Journal. 106(2). 291a–291a.
11.
12.
Yeung, Priscilla S.-W., Gözde Eskici, & Paul H. Axelsen. (2012). Infrared spectroscopy of proteins in reverse micelles. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(10). 2314–2318. 18 indexed citations
13.
Eskici, Gözde & Paul H. Axelsen. (2012). Copper and Oxidative Stress in the Pathogenesis of Alzheimer’s Disease. Biochemistry. 51(32). 6289–6311. 258 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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