Ayako Nakano

1.1k total citations
21 papers, 927 citations indexed

About

Ayako Nakano is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Ayako Nakano has authored 21 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Hematology. Recurrent topics in Ayako Nakano's work include Multiple Myeloma Research and Treatments (7 papers), Drug Transport and Resistance Mechanisms (3 papers) and TGF-β signaling in diseases (3 papers). Ayako Nakano is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Drug Transport and Resistance Mechanisms (3 papers) and TGF-β signaling in diseases (3 papers). Ayako Nakano collaborates with scholars based in Japan. Ayako Nakano's co-authors include Toshio Matsumoto, Masahiro Abe, Takeshi Imamura, Masao Saitoh, Kohei Miyazono, Hiroe Amou, Kyoko Takeuchi, Asuka Oda, Shuji Ozaki and Takuya Shirakihara and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Ayako Nakano

20 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayako Nakano Japan 13 557 421 214 164 141 21 927
Sylvia Fong United States 19 817 1.5× 344 0.8× 152 0.7× 154 0.9× 67 0.5× 40 1.2k
Miriam Canavese United States 10 674 1.2× 398 0.9× 168 0.8× 62 0.4× 125 0.9× 21 923
Yuhui Liu China 10 496 0.9× 232 0.6× 186 0.9× 151 0.9× 115 0.8× 18 811
Guangxun Gao China 17 463 0.8× 192 0.5× 149 0.7× 113 0.7× 89 0.6× 65 802
Yiqing Chi United States 13 555 1.0× 103 0.2× 280 1.3× 139 0.8× 137 1.0× 16 933
Yukihiko Kato Japan 17 764 1.4× 232 0.6× 53 0.2× 132 0.8× 161 1.1× 55 1.2k
Lihua Zhuang Canada 11 398 0.7× 136 0.3× 220 1.0× 61 0.4× 276 2.0× 18 827
Jolanta Niewiarowska Poland 18 493 0.9× 208 0.5× 83 0.4× 228 1.4× 123 0.9× 39 947
Byung‐Gyu Kim United States 15 711 1.3× 517 1.2× 87 0.4× 138 0.8× 428 3.0× 27 1.4k
Pu Zhang China 13 450 0.8× 199 0.5× 304 1.4× 112 0.7× 99 0.7× 19 876

Countries citing papers authored by Ayako Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayako Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Ayako Nakano. A scholar is included among the top collaborators of Ayako Nakano 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 Ayako Nakano. Ayako Nakano 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.
Nakamura, Shingen, Hirokazu Miki, Shinsuke Kido, et al.. (2013). Activating transcription factor 4, an ER stress mediator, is required for, but excessive ER stress suppresses osteoblastogenesis by bortezomib. International Journal of Hematology. 98(1). 66–73. 13 indexed citations
2.
Nakano, Ayako, Hirokazu Miki, Shingen Nakamura, et al.. (2012). Up-regulation of hexokinaseII in myeloma cells: targeting myeloma cells with 3-bromopyruvate. Journal of Bioenergetics and Biomembranes. 44(1). 31–38. 36 indexed citations
3.
Kagawa, Kumiko, Ayako Nakano, Hirokazu Miki, et al.. (2012). Inhibition of TACE Activity Enhances the Susceptibility of Myeloma Cells to TRAIL. PLoS ONE. 7(2). e31594–e31594. 10 indexed citations
4.
Miki, Hirokazu, Shuji Ozaki, Shingen Nakamura, et al.. (2011). KRN5500, a spicamycin derivative, exerts anti‐myeloma effects through impairing both myeloma cells and osteoclasts. British Journal of Haematology. 155(3). 328–339. 4 indexed citations
5.
Nakano, Ayako, Masahiro Abe, Asuka Oda, et al.. (2011). Delayed treatment with vitamin C and N-acetyl-l-cysteine protects Schwann cells without compromising the anti-myeloma activity of bortezomib. International Journal of Hematology. 93(6). 727–735. 22 indexed citations
6.
Cui, Qu, Hironobu Shibata, Asuka Oda, et al.. (2011). Targeting myeloma–osteoclast interaction with Vγ9Vδ2 T cells. International Journal of Hematology. 94(1). 63–70. 12 indexed citations
7.
Nakano, Ayako, Daisuke Tsuji, Hirokazu Miki, et al.. (2011). Glycolysis Inhibition Inactivates ABC Transporters to Restore Drug Sensitivity in Malignant Cells. PLoS ONE. 6(11). e27222–e27222. 90 indexed citations
8.
Nakano, Ayako, Masahiro Abe, Daisuke Tsuji, et al.. (2011). Inhibition of Hexokinase II Inactivates ABC Transporters and Restores Drug Sensitivity in Myeloma Cells. Blood. 118(21). 135–135. 1 indexed citations
9.
10.
Takeuchi, Kyoko, Masahiro Abe, Masahiro Hiasa, et al.. (2010). TGF-β Inhibition Restores Terminal Osteoblast Differentiation to Suppress Myeloma Growth. PLoS ONE. 5(3). e9870–e9870. 108 indexed citations
11.
12.
Nakano, Ayako, Daizo Koinuma, Keiji Miyazawa, et al.. (2009). Pin1 Down-regulates Transforming Growth Factor-β (TGF-β) Signaling by Inducing Degradation of Smad Proteins. Journal of Biological Chemistry. 284(10). 6109–6115. 92 indexed citations
13.
Hiasa, Masahiro, Masahiro Abe, Ayako Nakano, et al.. (2009). GM-CSF and IL-4 induce dendritic cell differentiation and disrupt osteoclastogenesis through M-CSF receptor shedding by up-regulation of TNF-α converting enzyme (TACE). Blood. 114(20). 4517–4526. 95 indexed citations
14.
Horiguchi, Kana, Takuya Shirakihara, Ayako Nakano, et al.. (2008). Role of Ras Signaling in the Induction of Snail by Transforming Growth Factor-β. Journal of Biological Chemistry. 284(1). 245–253. 187 indexed citations
15.
Kitazoe, Ken-ichi, Masahiro Abe, Masahiro Hiasa, et al.. (2008). Valproic acid exerts anti-tumor as well as anti-angiogenic effects on myeloma. International Journal of Hematology. 89(1). 45–57. 25 indexed citations
16.
Tanaka, Yoïchi, Masahiro Abe, Masahiro Hiasa, et al.. (2007). Myeloma Cell-Osteoclast Interaction Enhances Angiogenesis Together with Bone Resorption: A Role for Vascular Endothelial Cell Growth Factor and Osteopontin. Clinical Cancer Research. 13(3). 816–823. 129 indexed citations
17.
Morimoto, Masanori, et al.. (2002). Insect Antifeedant Activity of Flavones and Chromones against Spodoptera litura. Journal of Agricultural and Food Chemistry. 51(2). 389–393. 64 indexed citations
18.
Kido, Hiroshi, Ayako Nakano, Hideki Wakabayashi, et al.. (1998). Human Chymase, an Enzyme Forming Novel Bioactive 31-Amino Acid Length Endothelins. Biological Chemistry. 379(7). 885–892. 31 indexed citations
19.
Kobayashi, Yoshiro, Takashi Yamashiro, Ayako Nakano, et al.. (1997). Target Cell-Induced Calcium Signals in Human Natural Killer Leukemia Cells as Revealed by Confocal Fluorescence Microscopy. Experimental Cell Research. 232(1). 42–46. 4 indexed citations
20.
Fujiwara, Katsuo, et al.. (1988). CHANGE OF POSTURAL CONTROL WHILE REPEATEDLY IMPOSING HORIZONTAL FLOOR VIBRATION IN UPRIGHT STANCE. Japanese Journal of Physical Fitness and Sports Medicine. 37(1). 25–36. 2 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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