Ayşegül Güvenek

1.0k total citations
9 papers, 417 citations indexed

About

Ayşegül Güvenek is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Ayşegül Güvenek has authored 9 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Pharmacology. Recurrent topics in Ayşegül Güvenek's work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (4 papers). Ayşegül Güvenek is often cited by papers focused on RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (4 papers). Ayşegül Güvenek collaborates with scholars based in United States, Türkiye and Canada. Ayşegül Güvenek's co-authors include Erdal Toprak, Bin Tian, Murat Cokol, Yusuf Talha Tamer, Pamela J. Yeh, Tobias Bollenbach, Guillaume Chevereau, Dilay Hazal Ayhan, Dinghai Zheng and Larry C. Cheng and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and PLoS Biology.

In The Last Decade

Ayşegül Güvenek

9 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayşegül Güvenek United States 8 207 166 121 43 37 9 417
Amanda N. Samuels United States 7 166 0.8× 92 0.6× 101 0.8× 18 0.4× 39 1.1× 10 328
Guillaume Chevereau France 7 251 1.2× 102 0.6× 52 0.4× 14 0.3× 14 0.4× 8 374
Antoine Frénoy France 7 113 0.5× 119 0.7× 67 0.6× 29 0.7× 13 0.4× 10 241
David C. Marciano United States 11 219 1.1× 104 0.6× 110 0.9× 23 0.5× 27 0.7× 14 364
Devon M. Fitzgerald United States 12 463 2.2× 390 2.3× 124 1.0× 27 0.6× 108 2.9× 19 697
Anu Raghunathan India 11 541 2.6× 251 1.5× 37 0.3× 12 0.3× 55 1.5× 18 687
Charlie Y. Mo United States 10 335 1.6× 153 0.9× 125 1.0× 26 0.6× 64 1.7× 13 461
Kayoko Takashima Japan 6 254 1.2× 98 0.6× 59 0.5× 14 0.3× 174 4.7× 7 444
Arvi Jõers Estonia 10 361 1.7× 316 1.9× 158 1.3× 25 0.6× 78 2.1× 15 600
Katarzyna Węgrzyn Poland 11 236 1.1× 172 1.0× 98 0.8× 10 0.2× 73 2.0× 31 419

Countries citing papers authored by Ayşegül Güvenek

Since Specialization
Citations

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

Fields of papers citing papers by Ayşegül Güvenek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayşegül Güvenek

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

All Works

9 of 9 papers shown
1.
Lee, Eliza S., et al.. (2022). ZFC3H1 and U1-70K promote the nuclear retention of mRNAs with 5′ splice site motifs within nuclear speckles. RNA. 28(6). 878–894. 14 indexed citations
2.
Güvenek, Ayşegül, Jihae Shin, Lidia De Filippis, et al.. (2022). Neuronal Cells Display Distinct Stability Controls of Alternative Polyadenylation mRNA Isoforms, Long Non-Coding RNAs, and Mitochondrial RNAs. Frontiers in Genetics. 13. 840369–840369. 5 indexed citations
3.
Shin, Jihae, Qingbao Ding, Luyang Wang, et al.. (2021). CRISPRpas: programmable regulation of alternative polyadenylation by dCas9. Nucleic Acids Research. 50(5). e25–e25. 12 indexed citations
4.
Cheng, Larry C., Dinghai Zheng, Qiang Zhang, et al.. (2021). Alternative 3′ UTRs play a widespread role in translation-independent mRNA association with the endoplasmic reticulum. Cell Reports. 36(3). 109407–109407. 19 indexed citations
5.
Güvenek, Ayşegül & Bin Tian. (2018). Analysis of alternative cleavage and polyadenylation in mature and differentiating neurons using RNA‐seq data. Quantitative Biology. 6(3). 253–266. 27 indexed citations
6.
Güvenek, Ayşegül, Riki Kawaguchi, Dinghai Zheng, et al.. (2017). Activity-Dependent Regulation of Alternative Cleavage and Polyadenylation During Hippocampal Long-Term Potentiation. Scientific Reports. 7(1). 17377–17377. 34 indexed citations
7.
Chevereau, Guillaume, et al.. (2015). Quantifying the Determinants of Evolutionary Dynamics Leading to Drug Resistance. PLoS Biology. 13(11). e1002299–e1002299. 78 indexed citations
8.
Cokol, Murat, Zohar Weinstein, Kaan Yılancıoğlu, et al.. (2014). Large-Scale Identification and Analysis of Suppressive Drug Interactions. Chemistry & Biology. 21(4). 541–551. 23 indexed citations
9.
Güvenek, Ayşegül, et al.. (2014). Strength of Selection Pressure Is an Important Parameter Contributing to the Complexity of Antibiotic Resistance Evolution. Molecular Biology and Evolution. 31(9). 2387–2401. 205 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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