Keiko Akagi

7.1k total citations
54 papers, 3.8k citations indexed

About

Keiko Akagi is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Keiko Akagi has authored 54 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 16 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Keiko Akagi's work include CRISPR and Genetic Engineering (20 papers), Virus-based gene therapy research (8 papers) and Chromosomal and Genetic Variations (7 papers). Keiko Akagi is often cited by papers focused on CRISPR and Genetic Engineering (20 papers), Virus-based gene therapy research (8 papers) and Chromosomal and Genetic Variations (7 papers). Keiko Akagi collaborates with scholars based in United States, Japan and Singapore. Keiko Akagi's co-authors include Neal G. Copeland, Nancy A. Jenkins, David E. Symer, David A. Largaespada, Adam J. Dupuy, Takeshi Suzuki, Jingfeng Li, Maura L. Gillison, Haifa Shen and Herbert C. Morse and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Keiko Akagi

53 papers receiving 3.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Keiko Akagi	2.9k	1.1k	698	612	423	54	3.8k
Erik C. Thorland	1.8k 0.6×	2.1k 2.0×	542 0.8×	360 0.6×	284 0.7×	61	4.2k
Pamela Rabbitts	1.8k 0.6×	644 0.6×	682 1.0×	752 1.2×	212 0.5×	84	2.9k
Pedro A. Lazo	3.1k 1.1×	611 0.6×	1.1k 1.6×	450 0.7×	105 0.2×	144	4.6k
Cynthia Helms	2.5k 0.9×	1.1k 1.0×	671 1.0×	359 0.6×	360 0.9×	49	4.7k
Pino J. Poddighe	1.0k 0.4×	623 0.6×	323 0.5×	267 0.4×	184 0.4×	58	2.1k
William C. Vass	3.1k 1.1×	1.1k 1.0×	1.2k 1.7×	368 0.6×	124 0.3×	65	5.2k
Daoud Sie	1.6k 0.5×	314 0.3×	451 0.6×	1.2k 2.0×	77 0.2×	55	2.6k
E Harlow	4.6k 1.6×	1.4k 1.3×	4.7k 6.7×	804 1.3×	149 0.4×	29	7.1k
Sara A. Grimm	2.4k 0.9×	635 0.6×	538 0.8×	1.0k 1.7×	132 0.3×	61	3.6k
Francisco Martı́n	1.7k 0.6×	713 0.7×	554 0.8×	284 0.5×	274 0.6×	119	3.0k

Countries citing papers authored by Keiko Akagi

Since Specialization

Citations

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

Fields of papers citing papers by Keiko Akagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Akagi

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

All Works

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20 of 20 papers shown

Akagi, Keiko, Shiming Jiang, Joe Dan Dunn, et al.. (2025). Human Papillomavirus Integration Induces Oncogenic Host Gene Fusions in Oropharyngeal Cancers. Cancer Discovery. 15(9). 1927–1948.

Akagi, Keiko, David E. Symer, Medhat Mahmoud, et al.. (2023). Intratumoral Heterogeneity and Clonal Evolution Induced by HPV Integration. Cancer Discovery. 13(4). 910–927. 33 indexed citations

Xi, Yuanxin, Marcelo V. Negrão, Keiko Akagi, et al.. (2023). Noninvasive genomic profiling of somatic mutations in oral cavity cancers. Oral Oncology. 140. 106372–106372. 4 indexed citations

Wang, Yanqiang, Sandya Liyanarachchi, Katherine E. Miller, et al.. (2019). Identification of Rare Variants Predisposing to Thyroid Cancer. Thyroid. 29(7). 946–955. 35 indexed citations

Gillison, Maura L., Keiko Akagi, Weihong Xiao, et al.. (2018). Human papillomavirus and the landscape of secondary genetic alterations in oral cancers. Genome Research. 29(1). 1–17. 155 indexed citations

Starrett, Gabriel J., Paul G. Cantalupo, Joshua P. Katz, et al.. (2017). Merkel Cell Polyomavirus Exhibits Dominant Control of the Tumor Genome and Transcriptome in Virus-Associated Merkel Cell Carcinoma. mBio. 8(1). 93 indexed citations

Akagi, Keiko, Jingfeng Li, Tatevik Broutian, et al.. (2013). Genome-wide analysis of HPV integration in human cancers reveals recurrent, focal genomic instability. Genome Research. 24(2). 185–199. 329 indexed citations

Li, Jingfeng, Keiko Akagi, Yongjun Hu, et al.. (2012). Mouse endogenous retroviruses can trigger premature transcriptional termination at a distance. Genome Research. 22(5). 870–884. 38 indexed citations

Bender, Aaron M., Lara S. Collier, Fausto J. Rodríguez, et al.. (2010). Sleeping Beauty –Mediated Somatic Mutagenesis Implicates CSF1 in the Formation of High-Grade Astrocytomas. Cancer Research. 70(9). 3557–3565. 52 indexed citations

10.

Rahrmann, Eric P., Lara S. Collier, Todd P. Knutson, et al.. (2009). Identification of PDE4D as a Proliferation Promoting Factor in Prostate Cancer Using a Sleeping Beauty Transposon-Based Somatic Mutagenesis Screen. Cancer Research. 69(10). 4388–4397. 74 indexed citations

11.

Collier, Lara S., David J. Adams, Christopher S. Hackett, et al.. (2009). Whole-Body Sleeping Beauty Mutagenesis Can Cause Penetrant Leukemia/Lymphoma and Rare High-Grade Glioma without Associated Embryonic Lethality. Cancer Research. 69(21). 8429–8437. 59 indexed citations

12.

Tessarollo, Lino, Mary Ellen Palko, Keiko Akagi, & Vincenzo Coppola. (2009). Gene Targeting in Mouse Embryonic Stem Cells. Methods in molecular biology. 530. 141–164. 19 indexed citations

13.

Ishimura, Akihiko, Minoru Terashima, Hiroshi Kimurâ, et al.. (2009). Jmjd2c histone demethylase enhances the expression of Mdm2 oncogene. Biochemical and Biophysical Research Communications. 389(2). 366–371. 43 indexed citations

14.

Davé, Utpal P., Keiko Akagi, Susan M. Cleveland, et al.. (2009). Murine Leukemias with Retroviral Insertions at Lmo2 Are Predictive of the Leukemias Induced in SCID-X1 Patients Following Retroviral Gene Therapy. PLoS Genetics. 5(5). e1000491–e1000491. 55 indexed citations

15.

Akagi, Keiko, Jingfeng Li, Robert M. Stephens, Natalia Volfovsky, & David E. Symer. (2008). Extensive variation between inbred mouse strains due to endogenous L1 retrotransposition. Genome Research. 18(6). 869–880. 69 indexed citations

16.

Dupuy, Adam J., Keiko Akagi, David A. Largaespada, Neal G. Copeland, & Nancy A. Jenkins. (2005). Mammalian mutagenesis using a highly mobile somatic Sleeping Beauty transposon system. Nature. 436(7048). 221–226. 381 indexed citations

17.

Keng, Vincent W., Kojiro Yae, Tomoko Hayakawa, et al.. (2005). Region-specific saturation germline mutagenesis in mice using the Sleeping Beauty transposon system. Nature Methods. 2(10). 763–769. 100 indexed citations

18.

Akagi, Keiko. (2003). RTCGD: retroviral tagged cancer gene database. Nucleic Acids Research. 32(90001). 523D–527. 264 indexed citations

19.

Suzuki, Takeshi, Haifa Shen, Keiko Akagi, et al.. (2002). New genes involved in cancer identified by retroviral tagging. Nature Genetics. 32(1). 166–174. 349 indexed citations

20.

Akagi, Keiko, Marc Vooijs, Marco Giovannini, et al.. (1997). Cre-mediated somatic site-specific recombination in mice. Nucleic Acids Research. 25(9). 1766–1773. 204 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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