Keiko Yuki

507 total citations
10 papers, 409 citations indexed

About

Keiko Yuki is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Keiko Yuki has authored 10 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Keiko Yuki's work include TGF-β signaling in diseases (3 papers), Lanthanide and Transition Metal Complexes (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). Keiko Yuki is often cited by papers focused on TGF-β signaling in diseases (3 papers), Lanthanide and Transition Metal Complexes (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). Keiko Yuki collaborates with scholars based in Japan, Sweden and Germany. Keiko Yuki's co-authors include Kohei Miyazono, Keiji Miyazawa, Daizo Koinuma, Takeshi Imamura, Hitoshi Sase, Masao Saitoh, Kazunobu Isogaya, Konstantinos J. Mavrakis, Yoshiko Nagano and Kian Leong Lee and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Journal of Cell Science.

In The Last Decade

Keiko Yuki

10 papers receiving 404 citations

Peers

Countries citing papers authored by Keiko Yuki

Since Specialization

Citations

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

Fields of papers citing papers by Keiko Yuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Yuki

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Yuki. A scholar is included among the top collaborators of Keiko Yuki 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 Keiko Yuki. Keiko Yuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	MAB21L4 regulates the TGF-β-induced expression of target genes in epidermal keratinocytes 2021 ·The Journal of Biochemistry ·(unknown), Yusuke Tamura, (unknown), Keiko Yuki, Masato Morikawa, Shuichi Tsutsumi, Hiroyuki Aburatani, Keiji Miyazawa, Kohei Miyazono, Daizo Koinuma	4
2	Identification of a novel fusion gene HMGA2‐EGFR in glioblastoma 2017 ·International Journal of Cancer ·Akiyoshi Komuro, Erna Raja, Caname Iwata, Manabu Soda, Kazunobu Isogaya, Keiko Yuki, Yasushi Ino, Masato Morikawa, Tomoki Todo, Hiroyuki Aburatani, Hiromichi Suzuki, Melissa Ranjit, Atsushi Natsume, Akitake Mukasa, Nobuhito Saito, Hitoshi Okada, Hiroyuki Mano, Kohei Miyazono, Daizo Koinuma	12
3	Ets family members induce lymphangiogenesis through physical and functional interaction with Prox1 2011 ·Journal of Cell Science ·Yasuhiro Yoshimatsu, Tomoko Yamazaki, (unknown), Taichi Q. Itoh, Jun‐ichi Suehiro, Keiko Yuki, Kaori Harada, Masato Morikawa, Caname Iwata, Takashi Minami, Yasuyuki Morishita, Tatsuhiko Kodama, Kohei Miyazono, Tetsuro Watabe	48
4	Identification of a phosphorylation site in c-Ski as serine 515 2010 ·The Journal of Biochemistry ·(unknown), Shinji Nagata, Keiko Yuki, Kazunobu Isogaya, Masao Saitoh, Kohei Miyazono, Keiji Miyazawa	8
5	Binding Properties of Hydrophobic Molecules to Human Serum Albumin Studied by Fluorescence Titration 2009 ·Analytical Sciences ·Kô Takehara, Keiko Yuki, (unknown), Shinya Yamasaki, Shuto Yamada	32
6	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
7	Crystallization and preliminary X-ray diffraction analysis of GCIP/HHM transcriptional regulator 2008 ·Acta Crystallographica Section F Structural Biology and Crystallization Communications ·Azusa Seto, Hiroaki Ikushima, Toshiyasu Suzuki, Yusuke Sato, Shuya Fukai, Keiko Yuki, Keiji Miyazawa, Kohei Miyazono, Ryuichiro Ishitani, Osamu Nureki	8
8	Ras signaling directs endothelial specification of VEGFR2+ vascular progenitor cells 2008 ·The Journal of Cell Biology ·(unknown), Tetsuro Watabe, Hitoshi Sase, Masanori Hirashima, Hiroshi Koide, Yasuyuki Morishita, Keiko Yuki, Toshikuni Sasaoka, Toshio Suda, Motoya Katsuki, Kohei Miyazono, Keiji Miyazawa	43
9	Arkadia Induces Degradation of SnoN and c-Ski to Enhance Transforming Growth Factor-β Signaling 2007 ·Journal of Biological Chemistry ·Yoshiko Nagano, Konstantinos J. Mavrakis, Kian Leong Lee, Tomoko Fujii, Daizo Koinuma, Hitoshi Sase, Keiko Yuki, Kazunobu Isogaya, Masao Saitoh, Takeshi Imamura, Vasso Episkopou, Kohei Miyazono, Keiji Miyazawa	136
10	Latent Forms of TGF‐β: Structure and Biology 1990 ·Annals of the New York Academy of Sciences ·Kohei Miyazono, Keiko Yuki, Fumimaro Takaku, Christer Wernstedt, Tetsuto Kanzaki, Anders Olofsson, Ulf Hellman, Carl‐Henrik Heldin	46

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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