Cyd Khayter

9.8k total citations · 4 hit papers
11 papers, 6.5k citations indexed

About

Cyd Khayter is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Cyd Khayter has authored 11 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Plant Science and 0 papers in Infectious Diseases. Recurrent topics in Cyd Khayter's work include CRISPR and Genetic Engineering (11 papers), Advanced biosensing and bioanalysis techniques (9 papers) and RNA Interference and Gene Delivery (5 papers). Cyd Khayter is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Advanced biosensing and bioanalysis techniques (9 papers) and RNA Interference and Gene Delivery (5 papers). Cyd Khayter collaborates with scholars based in United States, Switzerland and Sweden. Cyd Khayter's co-authors include J. Keith Joung, Deepak Reyon, Jeffry D. Sander, Shengdar Q. Tsai, Morgan L. Maeder, Yanfang Fu, Nicolas Wyvekens, Martin J. Aryee, Vishal Thapar and Ved V. Topkar and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and PLoS ONE.

In The Last Decade

Cyd Khayter

11 papers receiving 6.4k citations

Hit Papers

High-frequency off-target mutagenesis induced by CRISPR-C... 2012 2026 2016 2021 2013 2014 2012 2014 500 1000 1.5k 2.0k
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. High-frequency off-target mutagenesis induced by CRISPR-Cas nucleases in human cells
    2013 2.5k citations Yanfang Fu, Cyd Khayter et al. Nature Biotechnology profile →
  2. GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases
    2014 1.6k citations Shengdar Q. Tsai, Zongli Zheng et al. Nature Biotechnology profile →
  3. FLASH assembly of TALENs for high-throughput genome editing
    2012 928 citations Deepak Reyon, Shengdar Q. Tsai et al. Nature Biotechnology profile →
  4. Dimeric CRISPR RNA-guided FokI nucleases for highly specific genome editing
    2014 749 citations Shengdar Q. Tsai, Nicolas Wyvekens et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cyd Khayter United States 11 6.1k 1.4k 771 719 486 11 6.5k
Thomas J. Cradick United States 20 5.9k 1.0× 1.4k 1.0× 721 0.9× 648 0.9× 501 1.0× 33 6.4k
Nathalie T. Nguyen United States 17 6.3k 1.0× 1.4k 1.0× 703 0.9× 853 1.2× 563 1.2× 27 6.8k
Sangsu Bae South Korea 34 6.5k 1.1× 1.4k 1.0× 1.2k 1.6× 664 0.9× 430 0.9× 112 7.1k
Alexander A. Sousa United States 11 5.1k 0.8× 1.4k 1.0× 763 1.0× 568 0.8× 375 0.8× 13 5.4k
Seung Woo Cho South Korea 16 6.5k 1.1× 1.3k 0.9× 1.2k 1.6× 642 0.9× 498 1.0× 25 7.0k
Luhan Yang United States 6 7.3k 1.2× 1.7k 1.2× 804 1.0× 556 0.8× 567 1.2× 8 8.0k
Luke W. Koblan United States 15 7.5k 1.2× 2.3k 1.6× 1.1k 1.4× 626 0.9× 428 0.9× 19 8.0k
Benjamin P. Kleinstiver United States 28 8.4k 1.4× 1.9k 1.3× 1.0k 1.3× 1.0k 1.4× 663 1.4× 66 8.7k
Winston X. Yan United States 16 8.2k 1.3× 2.0k 1.4× 769 1.0× 1.1k 1.5× 622 1.3× 31 8.6k
Gang Bao United States 9 4.1k 0.7× 895 0.6× 520 0.7× 406 0.6× 375 0.8× 11 4.5k

Countries citing papers authored by Cyd Khayter

Since Specialization
Citations

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

Fields of papers citing papers by Cyd Khayter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyd Khayter

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

All Works

11 of 11 papers shown
1.
Wyvekens, Nicolas, Ved V. Topkar, Cyd Khayter, J. Keith Joung, & Shengdar Q. Tsai. (2015). Dimeric CRISPR RNA-Guided FokI-dCas9 Nucleases Directed by Truncated gRNAs for Highly Specific Genome Editing. Human Gene Therapy. 26(7). 425–431. 121 indexed citations
2.
Tsai, Shengdar Q., Nicolas Wyvekens, Cyd Khayter, et al.. (2014). Dimeric CRISPR RNA-guided FokI nucleases for highly specific genome editing. Nature Biotechnology. 32(6). 569–576. 749 indexed citations breakdown →
3.
Tsai, Shengdar Q., Zongli Zheng, Nathalie T. Nguyen, et al.. (2014). GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases. Nature Biotechnology. 33(2). 187–197. 1582 indexed citations breakdown →
4.
Fu, Yanfang, Cyd Khayter, Morgan L. Maeder, et al.. (2013). High-frequency off-target mutagenesis induced by CRISPR-Cas nucleases in human cells. Nature Biotechnology. 31(9). 822–826. 2476 indexed citations breakdown →
5.
Reyon, Deepak, Morgan L. Maeder, Cyd Khayter, et al.. (2013). Engineering Customized TALE Nucleases (TALENs) and TALE Transcription Factors by Fast Ligation‐Based Automatable Solid‐Phase High‐Throughput (FLASH) Assembly. Current Protocols in Molecular Biology. 103(1). Unit 12.16–Unit 12.16. 27 indexed citations
6.
Cade, Lindsay, Deepak Reyon, Woong Y. Hwang, et al.. (2012). Highly efficient generation of heritable zebrafish gene mutations using homo- and heterodimeric TALENs. Nucleic Acids Research. 40(16). 8001–8010. 194 indexed citations
7.
Reyon, Deepak, et al.. (2012). FLASH assembly of TALENs for high-throughput genome editing. Nature Biotechnology. 30(5). 460–465. 928 indexed citations breakdown →
8.
Hermann, Mario, Morgan L. Maeder, Burkhard Becher, et al.. (2012). Evaluation of OPEN Zinc Finger Nucleases for Direct Gene Targeting of the ROSA26 Locus in Mouse Embryos. PLoS ONE. 7(9). e41796–e41796. 33 indexed citations
9.
Moore, Finola E., Deepak Reyon, Jeffry D. Sander, et al.. (2012). Improved Somatic Mutagenesis in Zebrafish Using Transcription Activator-Like Effector Nucleases (TALENs). PLoS ONE. 7(5). e37877–e37877. 128 indexed citations
10.
Reyon, Deepak, Cyd Khayter, Maureen Regan, J. Keith Joung, & Jeffry D. Sander. (2012). Engineering Designer Transcription Activator‐‐Like Effector Nucleases (TALENs) by REAL or REAL‐Fast Assembly. Current Protocols in Molecular Biology. 100(1). Unit 12.15–Unit 12.15. 61 indexed citations
11.
Sebastiano, Vittorio, Morgan L. Maeder, Cyd Khayter, et al.. (2011). In Situ Genetic Correction of the Sickle Cell Anemia Mutation in Human Induced Pluripotent Stem Cells Using Engineered Zinc Finger Nucleases. Stem Cells. 29(11). 1717–1726. 242 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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2026