Yuuki Imai

5.5k total citations · 1 hit paper
125 papers, 4.0k citations indexed

About

Yuuki Imai is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Yuuki Imai has authored 125 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 26 papers in Oncology and 20 papers in Genetics. Recurrent topics in Yuuki Imai's work include Bone Metabolism and Diseases (36 papers), Bone health and treatments (20 papers) and Bone Tissue Engineering Materials (14 papers). Yuuki Imai is often cited by papers focused on Bone Metabolism and Diseases (36 papers), Bone health and treatments (20 papers) and Bone Tissue Engineering Materials (14 papers). Yuuki Imai collaborates with scholars based in Japan, United States and China. Yuuki Imai's co-authors include Kunio Takaoka, Shigeaki Kato, Jun Kanno, Katsuhide Igarashi, Kazuki Inoue, Takahiro Μatsumoto, Myles Brown, Hiroshi Takayanagi, Takashi Nakamura and Shu Takeda and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yuuki Imai

118 papers receiving 4.0k citations

Hit Papers

Estrogen Prevents Bone Loss via Estrogen Receptor α and I... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuuki Imai Japan 32 2.5k 1.1k 677 511 500 125 4.0k
Baruch Frenkel United States 41 3.1k 1.2× 1.2k 1.2× 851 1.3× 611 1.2× 522 1.0× 89 4.9k
Edith Bonnelye France 32 1.9k 0.8× 1.2k 1.1× 742 1.1× 540 1.1× 420 0.8× 58 3.8k
Ryoko Okamoto United States 20 3.8k 1.5× 1.5k 1.4× 660 1.0× 745 1.5× 374 0.7× 33 5.4k
Baojie Li China 39 2.9k 1.2× 1.1k 1.0× 386 0.6× 573 1.1× 222 0.4× 121 4.4k
Zhenqiang Yao United States 30 2.6k 1.1× 1.4k 1.4× 507 0.7× 759 1.5× 679 1.4× 48 4.0k
Malayannan Subramaniam United States 43 3.5k 1.4× 1.2k 1.1× 1.4k 2.1× 618 1.2× 462 0.9× 124 6.0k
Florian Otto Germany 24 3.1k 1.3× 1.4k 1.3× 581 0.9× 814 1.6× 260 0.5× 35 4.9k
Gabriel Mbalaviele United States 35 2.7k 1.1× 816 0.8× 302 0.4× 499 1.0× 287 0.6× 78 4.2k
Su‐Li Cheng United States 32 2.4k 1.0× 682 0.6× 732 1.1× 274 0.5× 351 0.7× 53 4.4k
Jae‐Hyuck Shim United States 34 3.0k 1.2× 1.0k 1.0× 447 0.7× 1.1k 2.2× 328 0.7× 77 5.3k

Countries citing papers authored by Yuuki Imai

Since Specialization
Citations

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

Fields of papers citing papers by Yuuki Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuuki Imai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuuki Imai. A scholar is included among the top collaborators of Yuuki Imai 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 Yuuki Imai. Yuuki Imai 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.
Yamashita, Michiko, et al.. (2025). Aromatase in adipose tissue exerts an osteoprotective function in male mice via phosphate regulation. Journal of Bone and Mineral Research. 41(3). 324–335.
2.
Takahashi, Masatomo, et al.. (2025). Dnmt1 determines bone length by regulating energy metabolism of growth plate chondrocytes. Nature Communications. 16(1). 9492–9492.
3.
Sakai, Hiroshi, Iori Sakakibara, Akiyoshi Uezumi, et al.. (2024). Epidermal growth factor receptor contributes to indirect regulation of skeletal muscle mass by androgen. Endocrine Journal. 72(3). 259–272.
4.
Yoshida, Shuhei, et al.. (2024). Bub1 suppresses inflammatory arthritis–associated bone loss in mice through inhibition of TNFα–mediated osteoclastogenesis. Journal of Bone and Mineral Research. 39(3). 341–356. 6 indexed citations
5.
Tano, Y., Yuuki Imai, Yoshiaki Norimatsu, et al.. (2024). The H3K9 demethylase plant homeodomain finger protein 2 regulates interleukin 4 production in CD4+ T cells. Cytokine. 175. 156506–156506. 2 indexed citations
6.
Nakata, Takahiro, et al.. (2022). Effect of hormonal therapy on the otoconial changes caused by estrogen deficiency. Scientific Reports. 12(1). 22596–22596. 2 indexed citations
7.
Haraguchi, Ryuma, Riko Kitazawa, Yukihiro Kohara, Yuuki Imai, & Sohei Kitazawa. (2022). Novel animal model of soft tissue tumor due to aberrant hedgehog signaling activation in pericyte lineage. Cell and Tissue Research. 388(1). 63–73. 2 indexed citations
8.
Xia, Yuhan, et al.. (2021). Histone H3K27 demethylase, Utx, regulates osteoblast-to-osteocyte differentiation. Biochemical and Biophysical Research Communications. 590. 132–138. 9 indexed citations
9.
Yamada, Takeshi, Junpei Suzuki, Kazuki Inoue, et al.. (2019). Histone H3K27 Demethylase Negatively Controls the Memory Formation of Antigen-Stimulated CD8+ T Cells. The Journal of Immunology. 202(4). 1088–1098. 13 indexed citations
10.
Takahashi, Hirotaka, Chikako Takahashi, Shuhei Yoshida, et al.. (2019). The E3 ubiquitin ligase MIB2 enhances inflammation by degrading the deubiquitinating enzyme CYLD. Journal of Biological Chemistry. 294(38). 14135–14148. 24 indexed citations
11.
Suzuki, Junpei, Takeshi Yamada, Kazuki Inoue, et al.. (2018). The tumor suppressor menin prevents effector CD8 T-cell dysfunction by targeting mTORC1-dependent metabolic activation. Nature Communications. 9(1). 3296–3296. 64 indexed citations
12.
Oshima, Yusuke, et al.. (2018). Raman Spectroscopic Analysis to Detect Reduced Bone Quality after Sciatic Neurectomy in Mice. Molecules. 23(12). 3081–3081. 40 indexed citations
13.
Omata, Yasunori, Shinya Nakamura, Takuma Koyama, et al.. (2016). Identification of Nedd9 as a TGF-β-Smad2/3 Target Gene Involved in RANKL-Induced Osteoclastogenesis by Comprehensive Analysis. PLoS ONE. 11(6). e0157992–e0157992. 7 indexed citations
14.
Imai, Yuuki. (2014). [Bone metabolism by sex hormones and gonadotropins].. PubMed. 24(6). 815–9. 5 indexed citations
15.
Imai, Yuuki. (2010). Osteoprotective action of estrogens is mediated by osteoclastic estrogen receptor α.. Molecular Endocrinology. 24. 1 indexed citations
16.
Imai, Yuuki, Shino Kondoh, Takashi Nakamura, et al.. (2009). Estrogens Maintain Bone Mass by Regulating Expression of Genes Controlling Function and Life Span in Mature Osteoclasts. Annals of the New York Academy of Sciences. 1173(s1). E31–9. 77 indexed citations
17.
Asagiri, Masataka, Toshitake Hirai, Toshihiro Kunigami, et al.. (2008). Cathepsin K-Dependent Toll-Like Receptor 9 Signaling Revealed in Experimental Arthritis. Science. 319(5863). 624–627. 290 indexed citations
18.
Ohta, Yoichi, Keisuke Nakagawa, Yuuki Imai, et al.. (2008). Cyclic AMP enhances Smad-mediated BMP signaling through PKA-CREB pathway. Journal of Bone and Mineral Metabolism. 26(5). 478–484. 39 indexed citations
19.
Nakagawa, Keisuke, Yuuki Imai, Yoichi Ohta, & Kunio Takaoka. (2007). Prostaglandin E2 EP4 agonist (ONO-4819) accelerates BMP-induced osteoblastic differentiation. Bone. 41(4). 543–548. 38 indexed citations
20.
Imai, Yuuki & Kunio Takaoka. (2005). [BMP (bone morphogenetic protein)].. PubMed. 63 Suppl 8. 815–7. 1 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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