Fugaku Aoki

5.1k total citations
119 papers, 4.0k citations indexed

About

Fugaku Aoki is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Fugaku Aoki has authored 119 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 48 papers in Public Health, Environmental and Occupational Health and 29 papers in Genetics. Recurrent topics in Fugaku Aoki's work include Reproductive Biology and Fertility (48 papers), Epigenetics and DNA Methylation (23 papers) and Genomics and Chromatin Dynamics (22 papers). Fugaku Aoki is often cited by papers focused on Reproductive Biology and Fertility (48 papers), Epigenetics and DNA Methylation (23 papers) and Genomics and Chromatin Dynamics (22 papers). Fugaku Aoki collaborates with scholars based in Japan, United States and Czechia. Fugaku Aoki's co-authors include Masao Nagata, Honglin Liu, Jin‐Moon Kim, Masataka G. Suzuki, Tomohiko Akiyama, Azusa Inoue, Shun‐Ichiro Kageyama, Kaoru Kohmoto, Masatoshi Ooga and Richard M. Schultz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Fugaku Aoki

118 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fugaku Aoki Japan 34 3.0k 1.9k 746 563 331 119 4.0k
Willy M. Baarends Netherlands 33 3.1k 1.0× 1.2k 0.6× 1.6k 2.1× 1.3k 2.4× 204 0.6× 75 4.5k
Debra J. Wolgemuth United States 33 3.3k 1.1× 666 0.3× 1.3k 1.7× 749 1.3× 87 0.3× 75 4.3k
Kunihiko Naito Japan 31 2.0k 0.7× 1.4k 0.7× 805 1.1× 688 1.2× 85 0.3× 155 3.1k
Koji Sugiura Japan 28 2.1k 0.7× 2.6k 1.4× 580 0.8× 1.3k 2.3× 285 0.9× 72 3.8k
Stuart B. Moss United States 36 1.9k 0.6× 2.1k 1.1× 1.3k 1.8× 2.4k 4.2× 324 1.0× 60 4.5k
W.A. King Canada 32 1.3k 0.4× 1.6k 0.8× 1.2k 1.6× 711 1.3× 233 0.7× 115 3.0k
Stéphane Fabre France 37 1.5k 0.5× 2.4k 1.2× 1.9k 2.5× 1.2k 2.1× 213 0.6× 90 4.4k
Robert M. Petters United States 26 2.0k 0.7× 1.3k 0.7× 948 1.3× 695 1.2× 153 0.5× 77 3.2k
Anthony R. Bellvé United States 27 1.9k 0.6× 1.4k 0.7× 1.2k 1.6× 1.9k 3.3× 120 0.4× 49 3.8k
Manabu Ozawa Japan 29 1.2k 0.4× 1.4k 0.7× 602 0.8× 907 1.6× 184 0.6× 100 2.6k

Countries citing papers authored by Fugaku Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Fugaku Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fugaku Aoki

This figure shows the co-authorship network connecting the top 25 collaborators of Fugaku Aoki. A scholar is included among the top collaborators of Fugaku Aoki 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 Fugaku Aoki. Fugaku Aoki 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.
Fujii, Takeshi, et al.. (2021). dmrt11E ortholog is a crucial factor for oogenesis of the domesticated silkworm, Bombyx mori. Insect Biochemistry and Molecular Biology. 129. 103517–103517. 6 indexed citations
2.
3.
Suzuki, Masataka G., et al.. (2019). Involvement of ecdysone signaling in the expression of the doublesex gene during embryonic development in the silkworm, Bombyx mori. 2 indexed citations
4.
Ooga, Masatoshi, et al.. (2018). Zygotic Fluorescence Recovery After Photo-bleaching Analysis for Chromatin Looseness That Allows Full-term Development. Journal of Visualized Experiments. 2 indexed citations
5.
Franke, Vedran, Rosa Karlić, Radek Malı́k, et al.. (2017). Long terminal repeats power evolution of genes and gene expression programs in mammalian oocytes and zygotes. Genome Research. 27(8). 1384–1394. 98 indexed citations
6.
7.
Sakai, Hiroki, Megumi Sumitani, Keiro Uchino, et al.. (2016). Transgenic Expression of the piRNA-Resistant Masculinizer Gene Induces Female-Specific Lethality and Partial Female-to-Male Sex Reversal in the Silkworm, Bombyx mori. PLoS Genetics. 12(8). e1006203–e1006203. 33 indexed citations
8.
Abe, Ken‐ichiro, Vedran Franke, Yutaka Suzuki, et al.. (2015). The first murine zygotic transcription is promiscuous and uncoupled from splicing and 3′ processing. The EMBO Journal. 34(11). 1523–1537. 121 indexed citations
9.
Suzuki, Masataka G., Sayaka Kobayashi, & Fugaku Aoki. (2013). Male-specific splicing of the silkworm Imp gene is maintained by an autoregulatory mechanism. Mechanisms of Development. 131. 47–56. 11 indexed citations
10.
Aoki, Fugaku, et al.. (2008). Gene expression and lysosomal content of silkworm peritracheal athrocytes. Journal of Insect Physiology. 54(8). 1286–1292. 9 indexed citations
11.
Ooga, Masatoshi, et al.. (2007). Changes in H3K79 Methylation During Preimplantation Development in Mice. Biology of Reproduction. 78(3). 413–424. 78 indexed citations
12.
Kinukawa, Masashi, et al.. (2006). Roles of cAMP in regulating microtubule sliding and flagellar bending in demembranated hamster spermatozoa. FEBS Letters. 580(5). 1515–1520. 25 indexed citations
13.
Nakasato, Makoto, Masatoshi Ooga, Masato Iwatsuki, et al.. (2006). Involvement of the STAT5 Signaling Pathway in the Regulation of Mouse Preimplantation Development. Biology of Reproduction. 75(4). 508–517. 20 indexed citations
14.
Katebi, Majid, Mansoureh Movahedin, Mohammad Taghi Akbari, et al.. (2005). CHANGES IN MOTILITY PARAMETERS OF MOUSE SPERMATOZOA IN RESPONSE TO DIFFERENT DOSES OF PROGESTERONE DURING COURSE OF HYPERACTIVATION. 9(2). 73–79. 3 indexed citations
15.
Sun, Youping, et al.. (2001). Hormonal regulation of mitochondrial Tim23 gene expression in the mouse mammary gland. Molecular and Cellular Endocrinology. 172(1-2). 177–184. 3 indexed citations
16.
Fuchimoto, Daiichiro, et al.. (2001). Posttranscriptional Regulation of Cyclin A1 and Cyclin A2 During Mouse Oocyte Meiotic Maturation and Preimplantation Development1. Biology of Reproduction. 65(4). 986–993. 51 indexed citations
17.
Sun, Youping, et al.. (2000). The poly(A) tail length of casein mRNA in the lactating mammary gland changes depending upon the accumulation and removal of milk. Biochemical Journal. 347(2). 579–579. 18 indexed citations
18.
Mizoguchi, Y., Hirohito Yamaguchi, Fugaku Aoki, Jumpei Enami, & Senkiti Sakai. (1997). Corticosterone is required for the prolactin receptor gene expression in the late pregnant mouse mammary gland. Molecular and Cellular Endocrinology. 132(1-2). 177–183. 41 indexed citations
19.
Naito, Ken, Masakane Yamashita, Yoshitaka Nagahama, et al.. (1995). Association of p34cdc2 and Cyclin B1 during Meiotic Maturation in Porcine Oocytes. Developmental Biology. 168(2). 627–634. 64 indexed citations
20.
Inoue, Maki N., Kunihiko Naito, Fugaku Aoki, Yutaka Toyoda, & Eimei Sato. (1995). Activation of mitogen-activated protein kinase during meiotic maturation in porcine oocytes. Zygote. 3(3). 265–271. 90 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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