Aki Hanyu

5.6k total citations · 2 hit papers
26 papers, 4.2k citations indexed

About

Aki Hanyu is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Aki Hanyu has authored 26 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Aki Hanyu's work include TGF-β signaling in diseases (12 papers), Kruppel-like factors research (4 papers) and Epigenetics and DNA Methylation (3 papers). Aki Hanyu is often cited by papers focused on TGF-β signaling in diseases (12 papers), Kruppel-like factors research (4 papers) and Epigenetics and DNA Methylation (3 papers). Aki Hanyu collaborates with scholars based in Japan, United States and China. Aki Hanyu's co-authors include Takeshi Imamura, Kohei Miyazono, Atsushi Miyawaki, Asako Sakaue‐Sawano, Toshifumi Morimura, Hiroyuki Miyoshi, Kiyoko Fukami, Hiroshi Kurokawa, Saori Kashiwagi and Masaharu Ogawa and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Aki Hanyu

26 papers receiving 4.2k citations

Hit Papers

align trajectories

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.

Visualizing Spatiotemporal Dynamics of Multicellular Cell-Cycle Progression

2008 1.6k citations Asako Sakaue‐Sawano, Hiroshi Kurokawa et al. Cell profile →
Exosomes maintain cellular homeostasis by excreting harmful DNA from cells

2017 610 citations Akiko Takahashi, Ryo Okada et al. Nature Communications profile →

Peers

Countries citing papers authored by Aki Hanyu

Since Specialization

Citations

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

Fields of papers citing papers by Aki Hanyu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aki Hanyu

This figure shows the co-authorship network connecting the top 25 collaborators of Aki Hanyu. A scholar is included among the top collaborators of Aki Hanyu 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 Aki Hanyu. Aki Hanyu 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

#	Work	Indexed citations
1	Identification of Novel Senescent Markers in Small Extracellular Vesicles 2023 ·International Journal of Molecular Sciences ·(unknown), (unknown), Kenichi Miyata, Yôko Tanaka, Risa Fujii, (unknown), Tze Mun Loo, Aki Hanyu, (unknown), Hisaya Kato, Yoshiro Maezawa, Koutaro Yokote, Asako Nakamura, Koji Ueda, Nobuo Yaegashi, Akiko Takahashi	9
2	Hepatocyte growth factor derived from senescent cells attenuates cell competition-induced apical elimination of oncogenic cells 2022 ·Nature Communications ·(unknown), Kenichi Miyata, Tze Mun Loo, (unknown), Aki Hanyu, (unknown), (unknown), Hao Zheng, Shinya Toyokuni, Shunsuke Kon, Keiji Moriyama, Yasuyuki Fujita, Akiko Takahashi	20
3	p16Ink4a and p21Cip1/Waf1 promote tumour growth by enhancing myeloid-derived suppressor cells chemotaxis 2017 ·Nature Communications ·Atsushi Okuma, Aki Hanyu, Sugiko Watanabe, Eiji Hara	56
4	Exosomes maintain cellular homeostasis by excreting harmful DNA from cells breakdown → 2017 ·Nature Communications ·Akiko Takahashi, Ryo Okada, Koji Nagao, (unknown), Aki Hanyu, Shin Yoshimoto, Masaki Takasugi, Sugiko Watanabe, Masato T. Kanemaki, Chikashi Obuse, Eiji Hara	610
5	Ablation of the p16INK4a tumour suppressor reverses ageing phenotypes of klotho mice 2015 ·Nature Communications ·Seidai Sato, (unknown), Akiko Takahashi, Yoshinori Imai, Aki Hanyu, Atsushi Okuma, Masaki Takasugi, Kimi Yamakoshi, Hiroyuki Sorimachi, Hiroaki Kanda, Yuichi Ishikawa, Saburo Sone, Yasuhiko Nishioka, Naoko Ohtani, Eiji Hara	60
6	Bioluminescent system for dynamic imaging of cell and animal behavior 2012 ·Biochemical and Biophysical Research Communications ·(unknown), Osahiko Tsuji, Aki Hanyu, Seiji Okada, Akimasa Yasuda, Takashi Fukano, Chihiro Akazawa, Masaya Nakamura, Takeshi Imamura, Yumi Matsuzaki, Hirotaka James Okano, Atsushi Miyawaki, Hideyuki Okano	52
7	ZSTK474, a specific phosphatidylinositol 3-kinase inhibitor, induces G1 arrest of the cell cycle in vivo 2011 ·European Journal of Cancer ·Shingo Dan, Mutsumi Okamura, (unknown), Hisashi Yoshimi, Yasumichi Inoue, Aki Hanyu, Asako Sakaue‐Sawano, Takeshi Imamura, Atsushi Miyawaki, Takao Yamori	29
8	Functional in vivo optical imaging of tumor angiogenesis, growth, and metastasis prevented by administration of anti‐human VEGF antibody in xenograft model of human fibrosarcoma HT1080 cells 2009 ·Cancer Science ·Aki Hanyu, Kiyotsugu Kojima, Kiyohiko Hatake, Kimie Nomura, (unknown), Yuichi Ishikawa, Satoshi Miyata, Masaru Ushijima, Masaaki Matsuura, Etsuro Ogata, Keiji Miyazawa, Takeshi Imamura	24
9	SKI and MEL1 Cooperate to Inhibit Transforming Growth Factor-β Signal in Gastric Cancer Cells 2008 ·Journal of Biological Chemistry ·(unknown), Yasumichi Inoue, Hitoshi Tsuda, Issei Imoto, Daizo Koinuma, Makoto Hayashi, Takashi Ichikura, Takao Yamori, Koichi Nagasaki, Mika Yoshida, Masao Matsuoka, Kazuhiro Morishita, Keiko Yuki, Aki Hanyu, Keiji Miyazawa, Johji Inazawa, Kohei Miyazono, Takeshi Imamura	72
10	Smurf2 Induces Ubiquitin-dependent Degradation of Smurf1 to Prevent Migration of Breast Cancer Cells 2008 ·Journal of Biological Chemistry ·(unknown), Yasumichi Inoue, Setsuro Komiya, Kana Horiguchi, Kouichiro Goto, Masao Saitoh, Keiji Miyazawa, Daizo Koinuma, Aki Hanyu, Takeshi Imamura	74
11	Visualizing Spatiotemporal Dynamics of Multicellular Cell-Cycle Progression breakdown → 2008 ·Cell ·Asako Sakaue‐Sawano, Hiroshi Kurokawa, Toshifumi Morimura, Aki Hanyu, Hiroshi Hama, (unknown), Saori Kashiwagi, Kiyoko Fukami, Takaki Miyata, Hiroyuki Miyoshi, Takeshi Imamura, Masaharu Ogawa, Hisao Masai, Atsushi Miyawaki	1590
12	Bone morphogenetic protein signaling enhances invasion and bone metastasis of breast cancer cells through Smad pathway 2008 ·Oncogene ·Yoko Katsuno, Aki Hanyu, Hiroaki Kanda, Yuichi Ishikawa, Futoshi Akiyama, (unknown), Etsuro Ogata, Shogo Ehata, Kohei Miyazono, Takeshi Imamura	191
13	Transforming Growth Factor-β Promotes Survival of Mammary Carcinoma Cells through Induction of Antiapoptotic Transcription Factor DEC1 2007 ·Cancer Research ·Shogo Ehata, Aki Hanyu, Makoto Hayashi, Hiroyuki Aburatani, Yukio Kato, Μakoto Fujime, Masao Saitoh, Keiji Miyazawa, Takeshi Imamura, Kohei Miyazono	76
14	Ki26894, a novel transforming growth factor‐β type I receptor kinase inhibitor, inhibits in vitro invasion and in vivo bone metastasis of a human breast cancer cell line 2006 ·Cancer Science ·Shogo Ehata, Aki Hanyu, Μakoto Fujime, Yoko Katsuno, (unknown), Kouichiro Goto, Yuichi Ishikawa, Kimie Nomura, (unknown), Toshiyuki Shimizu, Etsuro Ogata, Kohei Miyazono, Kiyoshí Shimizu, Takeshi Imamura	146
15	The ALK‐5 inhibitor A‐83‐01 inhibits Smad signaling and epithelial‐to‐mesenchymal transition by transforming growth factor‐β 2005 ·Cancer Science ·Masayoshi Tojo, Yoshio Hamashima, Aki Hanyu, Tetsuya Kajimoto, Masao Saitoh, Kohei Miyazono, Manabu Node, Takeshi Imamura	257
16	The N domain of Smad7 is essential for specific inhibition of transforming growth factor-β signaling 2001 ·The Journal of Cell Biology ·Aki Hanyu, Yasuhiro Ishidou, Takanori Ebisawa, Tomomasa Shimanuki, Takeshi Imamura, Kohei Miyazono	186
17	Intracellular Signaling of the TGF‐β Superfamily by Smad Proteins 1999 ·Annals of the New York Academy of Sciences ·Masahiro Kawabata, Takeshi Imamura, Hirofumi Inoue, Jun‐ichi Hanai, Ayako Nishihara, Aki Hanyu, Masao Takase, Yasuhiro Ishidou, (unknown), Eiichi Oeda, Daisuke Goto, Ken Yagi, Mitsuyasu Kato, Kohei Miyazono	41
18	Smad proteins exist as monomers in vivo and undergo homo- and hetero-oligomerization upon activation by serine/threonine kinase receptors 1998 ·The EMBO Journal ·Masahiro Kawabata, Hirofumi Inoue, Aki Hanyu, Takeshi Imamura, Kohei Miyazono	241
19	Characterization of theMADH2/Smad2Gene, a HumanMadHomolog Responsible for the Transforming Growth Factor-β and Activin Signal Transduction Pathway 1998 ·Genomics ·Seiichi Takenoshita, Akira Mogi, Makoto Nagashima, Yang Ke, Ken Yagi, Aki Hanyu, Yukio Nagamachi, Kohei Miyazono, Koichi Hagiwara	48
20	Growth/Differentiation Factor-5 Induces Angiogenesisin Vivo 1997 ·Experimental Cell Research ·Hidetoshi Yamashita, Akira Shimizu, Mitsuyasu Kato, Hideki Nishitoh, Hidenori Ichijo, Aki Hanyu, Ikuo Morita, Michio Kimura, Fusao Makishima, Kohei Miyazono	90

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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