Ipek Tasan

751 total citations
13 papers, 503 citations indexed

About

Ipek Tasan is a scholar working on Molecular Biology, Plant Science and Business and International Management. According to data from OpenAlex, Ipek Tasan has authored 13 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Business and International Management. Recurrent topics in Ipek Tasan's work include CRISPR and Genetic Engineering (11 papers), Genomics and Chromatin Dynamics (5 papers) and Innovation and Socioeconomic Development (2 papers). Ipek Tasan is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Genomics and Chromatin Dynamics (5 papers) and Innovation and Socioeconomic Development (2 papers). Ipek Tasan collaborates with scholars based in United States, China and Hong Kong. Ipek Tasan's co-authors include Huimin Zhao, Jing Liang, Ran Chao, Mohammad HamediRad, Pu Xue, Han Xiao, Zehua Bao, Meng Zhang, Surbhi Jain and Tong Si and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ipek Tasan

13 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ipek Tasan United States 11 467 73 46 44 27 13 503
Alexander Brown United States 10 384 0.8× 102 1.4× 19 0.4× 28 0.6× 20 0.7× 16 433
Namjin Cho South Korea 8 404 0.9× 119 1.6× 13 0.3× 49 1.1× 26 1.0× 10 436
Marena Trinidad United States 11 381 0.8× 92 1.3× 27 0.6× 23 0.5× 45 1.7× 21 457
Nathan H. Kipniss United States 4 408 0.9× 42 0.6× 79 1.7× 29 0.7× 47 1.7× 4 464
Carmen Adriaens United States 5 446 1.0× 86 1.2× 8 0.2× 40 0.9× 32 1.2× 5 495
Elliot O. Eton United States 4 659 1.4× 189 2.6× 21 0.5× 85 1.9× 56 2.1× 6 720
Jonathan T. Vu United States 8 440 0.9× 109 1.5× 12 0.3× 40 0.9× 39 1.4× 14 473
Miriam Horovitz‐Fried Israel 9 237 0.5× 92 1.3× 16 0.3× 10 0.2× 108 4.0× 12 335

Countries citing papers authored by Ipek Tasan

Since Specialization
Citations

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

Fields of papers citing papers by Ipek Tasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ipek Tasan

This figure shows the co-authorship network connecting the top 25 collaborators of Ipek Tasan. A scholar is included among the top collaborators of Ipek Tasan 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 Ipek Tasan. Ipek Tasan 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.
Xiong, Xiong, Ipek Tasan, Meng Zhang, et al.. (2023). Imaging Method Using CRISPR/dCas9 and Engineered gRNA Scaffolds Can Perturb Replication Timing at the HSPA1 Locus. ACS Synthetic Biology. 12(5). 1424–1436. 3 indexed citations
2.
Qin, Peng, Ziliang Huang, Kun Sun, et al.. (2022). Engineering inducible biomolecular assemblies for genome imaging and manipulation in living cells. Nature Communications. 13(1). 7933–7933. 14 indexed citations
3.
Klein, Kyle N., Peiyao A Zhao, Xiaowen Lyu, et al.. (2021). Replication timing maintains the global epigenetic state in human cells. Science. 372(6540). 371–378. 101 indexed citations
4.
Zhang, Meng, et al.. (2021). Expanding the Potential of Mammalian Genome Engineering via Targeted DNA Integration. ACS Synthetic Biology. 10(3). 429–446. 12 indexed citations
5.
Jain, Surbhi, et al.. (2021). Precise Regulation of Cas9-Mediated Genome Engineering by Anti-CRISPR-Based Inducible CRISPR Controllers. ACS Synthetic Biology. 10(6). 1320–1327. 14 indexed citations
6.
Tasan, Ipek, et al.. (2020). Two-Color Imaging of Nonrepetitive Endogenous Loci in Human Cells. ACS Synthetic Biology. 9(9). 2502–2514. 5 indexed citations
7.
Yu, Yi, Yijun Guo, Y.H. LAN, et al.. (2019). An efficient gene knock-in strategy using 5′-modified double-stranded DNA donors with short homology arms. Nature Chemical Biology. 16(4). 387–390. 49 indexed citations
8.
Bao, Zehua, Mohammad HamediRad, Pu Xue, et al.. (2018). Genome-scale engineering of Saccharomyces cerevisiae with single-nucleotide precision. Nature Biotechnology. 36(6). 505–508. 146 indexed citations
9.
Tasan, Ipek, Liguo Zhang, Jiah Kim, et al.. (2018). CRISPR/Cas9-mediated knock-in of an optimized TetO repeat for live cell imaging of endogenous loci. Nucleic Acids Research. 46(17). e100–e100. 42 indexed citations
10.
Chao, Ran, et al.. (2017). Fully Automated One-Step Synthesis of Single-Transcript TALEN Pairs Using a Biological Foundry. ACS Synthetic Biology. 6(4). 678–685. 52 indexed citations
11.
Tasan, Ipek & Huimin Zhao. (2017). Targeting Specificity of the CRISPR/Cas9 System. ACS Synthetic Biology. 6(9). 1609–1613. 21 indexed citations
12.
Tasan, Ipek, Surbhi Jain, & Huimin Zhao. (2016). Use of genome-editing tools to treat sickle cell disease. Human Genetics. 135(9). 1011–1028. 22 indexed citations
13.
Cokol, Murat, et al.. (2012). Novel anti-HER2 monoclonal antibodies: synergy and antagonism with tumor necrosis factor-α. BMC Cancer. 12(1). 450–450. 22 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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