Azusa Inoue

8.0k citations
46 papers · 5.9k indexed · 3 hit papers · h-index 26

Azusa Inoue

44 papers receiving 5.8k citations

Hit Papers

Maternal H3K27me3 controls DNA methylation-independent im...323201320262017202150010001.5k2.0k2.5k

Peers

Azusa Inoue
Comparison fields: 5 of 119
  • Aging 255
  • Business and International Management 272
  • Molecular Biology 5.5k
  • Genetics 1.5k
  • Pediatrics, Perinatology and Child Health 587
Replace Shogo Matoba with:
Shogo Matoba Japan
Linyu Shi China
Liangxue Lai China
Bruce Whitelaw United Kingdom
Scott C. Fahrenkrug United States
Ji‐Long Liu China
Thomas J. Cradick United States
Rasmus O. Bak Denmark
Daniel F. Carlson United States
Azusa Inoue relative to Shogo Matoba Japan Shogo Matoba's profile →
Citations per field
00.5×1.5×
Shogo Matoba · 1×
Citations per year

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

The 25 scholars most cited alongside Azusa Inoue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Azusa Inoue Line = papers co-authored together Azusa Inoue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20252
4 202317
5 202312
6 202222
7 20227
8 202185
9 20199
10 201886
11 201738
12 2017105
13
Maternal H3K27me3 controls DNA methylation-independent imprintingbreakdown →
2017323
14 2016242
15
Embryonic Development following Somatic Cell Nuclear Transfer Impeded by Persisting Histone Methylationbreakdown →
2014356
16 2014187
17 2013138
18 201244
19 2011214
20 200778

About Azusa Inoue

Azusa Inoue is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics, having authored 46 papers that have together received 5.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (25 papers), Reproductive Biology and Fertility (16 papers), Prenatal Screening and Diagnostics (15 papers), Genetic Syndromes and Imprinting (11 papers), Genomics and Chromatin Dynamics (8 papers), Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Aging (255 citations), Business and International Management (272 citations) and Molecular Biology (5.5k citations). Azusa Inoue has collaborated with scholars based in Japan, United States and France. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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