D. Dewran Koçak

2.3k total citations · 1 hit paper
9 papers, 1.6k citations indexed

About

D. Dewran Koçak is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, D. Dewran Koçak has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in D. Dewran Koçak's work include CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (5 papers) and Advanced biosensing and bioanalysis techniques (2 papers). D. Dewran Koçak is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (5 papers) and Advanced biosensing and bioanalysis techniques (2 papers). D. Dewran Koçak collaborates with scholars based in United States, Australia and Saudi Arabia. D. Dewran Koçak's co-authors include Charles A. Gersbach, Timothy E. Reddy, Gregory E. Crawford, Christopher M. Vockley, Lauren R. Polstein, Pablo Pérez‐Piñera, Kam W. Leong, Ami M. Kabadi, Farshid Guilak and Katherine A. Glass and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

D. Dewran Koçak

9 papers receiving 1.6k citations

Hit Papers

RNA-guided gene activation by CRISPR-Cas9–based transcrip... 2013 2026 2017 2021 2013 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RNA-guided gene activation by CRISPR-Cas9–based transcription factors
    2013 1.0k citations Pablo Pérez‐Piñera, D. Dewran Koçak et al. Nature Methods profile →

Peers

D. Dewran Koçak
Marcello Maresca Sweden
Elizabeth Frias Switzerland
Qunshan Huang China
Tanglong Yuan China
Erwei Zuo China
Eunji Kim South Korea
Kayeong Lim South Korea
Ronghao Zhou United States
Louis Y. Tee Singapore
Julian Grünewald United States
Marcello Maresca Sweden
D. Dewran Koçak
Citations per year, relative to D. Dewran Koçak D. Dewran Koçak (= 1×) peers Marcello Maresca

Countries citing papers authored by D. Dewran Koçak

Since Specialization
Citations

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

Fields of papers citing papers by D. Dewran Koçak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Dewran Koçak. 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 D. Dewran Koçak. The network helps show where D. Dewran Koçak may publish in the future.

Co-authorship network of co-authors of D. Dewran Koçak

This figure shows the co-authorship network connecting the top 25 collaborators of D. Dewran Koçak. A scholar is included among the top collaborators of D. Dewran Koçak 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 D. Dewran Koçak. D. Dewran Koçak 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.
Gumpper, Ryan H., Yongfeng Liu, D. Dewran Koçak, et al.. (2024). Bitter taste receptor activation by cholesterol and an intracellular tastant. Nature. 628(8008). 664–671. 43 indexed citations
2.
Kang, Hye Jin, B. Krumm, Matan Geron, et al.. (2024). Structure-guided design of a peripherally restricted chemogenetic system. Cell. 187(26). 7433–7449.e20. 5 indexed citations
3.
Murthy, Preetish Kadur Lakshminarasimha, Rui Xi, Jeffrey I. Everitt, et al.. (2022). Epigenetic basis of oncogenic-Kras-mediated epithelial-cellular proliferation and plasticity. Developmental Cell. 57(3). 310–328.e9. 14 indexed citations
4.
Koçak, D. Dewran, et al.. (2021). AP-1 subunits converge promiscuously at enhancers to potentiate transcription. Genome Research. 31(4). 538–550. 19 indexed citations
5.
Koçak, D. Dewran, Eric A. Josephs, Vidit Bhandarkar, et al.. (2019). Increasing the specificity of CRISPR systems with engineered RNA secondary structures. Nature Biotechnology. 37(6). 657–666. 260 indexed citations
6.
McDowell, Ian C., Alejandro Barrera, Anthony D’Ippolito, et al.. (2018). Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding. Genome Research. 28(9). 1272–1284. 79 indexed citations
7.
Polstein, Lauren R., Pablo Pérez‐Piñera, D. Dewran Koçak, et al.. (2015). Genome-wide specificity of DNA binding, gene regulation, and chromatin remodeling by TALE- and CRISPR/Cas9-based transcriptional activators. Genome Research. 25(8). 1158–1169. 105 indexed citations
8.
Josephs, Eric A., et al.. (2015). Structure and specificity of the RNA-guided endonuclease Cas9 during DNA interrogation, target binding and cleavage. Nucleic Acids Research. 43(18). 8924–8941. 101 indexed citations
9.
Pérez‐Piñera, Pablo, D. Dewran Koçak, Christopher M. Vockley, et al.. (2013). RNA-guided gene activation by CRISPR-Cas9–based transcription factors. Nature Methods. 10(10). 973–976. 1005 indexed citations breakdown →

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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