Azusa Inoue

8.0k total citations · 3 hit papers
46 papers, 5.9k citations indexed

About

Azusa Inoue is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Azusa Inoue has authored 46 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 18 papers in Pediatrics, Perinatology and Child Health and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Azusa Inoue's work include Epigenetics and DNA Methylation (25 papers), Reproductive Biology and Fertility (16 papers) and Prenatal Screening and Diagnostics (15 papers). Azusa Inoue is often cited by papers focused on Epigenetics and DNA Methylation (25 papers), Reproductive Biology and Fertility (16 papers) and Prenatal Screening and Diagnostics (15 papers). Azusa Inoue collaborates with scholars based in Japan, United States and France. Azusa Inoue's co-authors include Yi Zhang, Shogo Matoba, Feng Zhang, Jonathan S. Gootenberg, Patrick D. Hsu, Silvana Konermann, Alexandro E. Trevino, David Scott, F. Ann Ran and Falong Lu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Azusa Inoue

44 papers receiving 5.8k citations

Hit Papers

Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Gen... 2013 2026 2017 2021 2013 2014 2017 500 1000 1.5k 2.0k 2.5k
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. Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity
    2013 2.6k citations Azusa Inoue, Shogo Matoba et al. Cell profile →
  2. Embryonic Development following Somatic Cell Nuclear Transfer Impeded by Persisting Histone Methylation
    2014 356 citations Shogo Matoba, Yuting Liu et al. Cell profile →
  3. Maternal H3K27me3 controls DNA methylation-independent imprinting
    2017 323 citations Azusa Inoue, Lan Jiang et al. Nature profile →

Peers

Azusa Inoue
Shogo Matoba Japan
Linyu Shi China
Thomas J. Cradick United States
Liangxue Lai China
Rasmus O. Bak Denmark
Gregory A. Newby United States
Cesare Galli Italy
Bruce Whitelaw United Kingdom
Cyd Khayter United States
Shogo Matoba Japan
Azusa Inoue
Citations per year, relative to Azusa Inoue Azusa Inoue (= 1×) peers Shogo Matoba

Countries citing papers authored by Azusa Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Azusa Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azusa Inoue

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

All Works

20 of 20 papers shown
1.
Takao, T., Chie Kikutake, Keiko Kan‐o, et al.. (2025). Maternal asthma imprints fetal lung ILC2s via glucocorticoid signaling leading to worsened allergic airway inflammation in murine adult offspring. Nature Communications. 16(1). 631–631. 3 indexed citations
2.
Morita, Sumiyo, et al.. (2025). Germline epigenome editing identifies H3K9me3 as a mediator of intergenerational DNA methylation recovery in mice. Nature Communications. 16(1). 11200–11200.
3.
Nagano, Masahiro, Yukihiro Yabuta, So I Nagaoka, et al.. (2025). Generation of germinal-vesicle oocytes from mouse embryonic stem cells under an ovarian soma-free condition. Developmental Cell. 60(21). 2976–2994.e13. 2 indexed citations
4.
Fukuda, Kei, Takeshi Shimi, Takao Ono, et al.. (2023). Epigenetic plasticity safeguards heterochromatin configuration in mammals. Nucleic Acids Research. 51(12). 6190–6207. 17 indexed citations
5.
Kobayashi, Toshihiro, Azusa Inoue, Ana Monteagudo, et al.. (2023). Conservation and divergence of canonical and non-canonical imprinting in murids. Genome biology. 24(1). 48–48. 12 indexed citations
6.
Matoba, Shogo, Chisayo Kozuka, Kento Miura, et al.. (2022). Noncanonical imprinting sustains embryonic development and restrains placental overgrowth. Genes & Development. 36(7-8). 483–494. 22 indexed citations
7.
8.
Mei, Hailiang, et al.. (2021). H2AK119ub1 guides maternal inheritance and zygotic deposition of H3K27me3 in mouse embryos. Nature Genetics. 53(4). 539–550. 85 indexed citations
9.
10.
Inoue, Azusa, Zhiyuan Chen, Qiangzong Yin, & Yi Zhang. (2018). Maternal Eed knockout causes loss of H3K27me3 imprinting and random X inactivation in the extraembryonic cells. Genes & Development. 32(23-24). 1525–1536. 86 indexed citations
11.
Wu, Xiaoji, Azusa Inoue, Tsukasa Suzuki, & Yi Zhang. (2017). Simultaneous mapping of active DNA demethylation and sister chromatid exchange in single cells. Genes & Development. 31(5). 511–523. 38 indexed citations
12.
Inoue, Azusa, Lan Jiang, Falong Lu, & Yi Zhang. (2017). Genomic imprinting of Xist by maternal H3K27me3. Genes & Development. 31(19). 1927–1932. 105 indexed citations
13.
Inoue, Azusa, Lan Jiang, Falong Lu, Tsukasa Suzuki, & Yi Zhang. (2017). Maternal H3K27me3 controls DNA methylation-independent imprinting. Nature. 547(7664). 419–424. 323 indexed citations breakdown →
14.
Lu, Falong, Yuting Liu, Azusa Inoue, et al.. (2016). Establishing Chromatin Regulatory Landscape during Mouse Preimplantation Development. Cell. 165(6). 1375–1388. 242 indexed citations
15.
Matoba, Shogo, Yuting Liu, Falong Lu, et al.. (2014). Embryonic Development following Somatic Cell Nuclear Transfer Impeded by Persisting Histone Methylation. Cell. 159(4). 884–895. 356 indexed citations breakdown →
16.
Shen, Li, Azusa Inoue, Jin He, et al.. (2014). Tet3 and DNA Replication Mediate Demethylation of Both the Maternal and Paternal Genomes in Mouse Zygotes. Cell stem cell. 15(4). 459–471. 187 indexed citations
17.
Yamaguchi, Shinpei, Kwonho Hong, Rui Liu, et al.. (2013). Dynamics of 5-methylcytosine and 5-hydroxymethylcytosine during germ cell reprogramming. Cell Research. 23(3). 329–339. 138 indexed citations
18.
Inoue, Azusa, Shogo Matoba, & Yi Zhang. (2012). Transcriptional activation of transposable elements in mouse zygotes is independent of Tet3-mediated 5-methylcytosine oxidation. Cell Research. 22(12). 1640–1649. 44 indexed citations
19.
Inoue, Azusa, Li Shen, Qing Dai, Chuan He, & Yi Zhang. (2011). Generation and replication-dependent dilution of 5fC and 5caC during mouse preimplantation development. Cell Research. 21(12). 1670–1676. 214 indexed citations
20.
Ooga, Masatoshi, et al.. (2007). Changes in H3K79 Methylation During Preimplantation Development in Mice. Biology of Reproduction. 78(3). 413–424. 78 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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