Kanako Yuki

1.5k total citations · 1 hit paper
15 papers, 629 citations indexed

About

Kanako Yuki is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kanako Yuki has authored 15 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Kanako Yuki's work include Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). Kanako Yuki is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). Kanako Yuki collaborates with scholars based in Japan, United States and Australia. Kanako Yuki's co-authors include Calvin J. Kuo, Michitaka Nakano, Ning Cheng, Makoto Noda, Takenori Kato, Toshihiko Wakabayashi, Atsushi Natsume, Masasuke Ohno, Mario Vallon and Yi Miao and has published in prestigious journals such as Nature Communications, Scientific Reports and Nature Structural & Molecular Biology.

In The Last Decade

Kanako Yuki

15 papers receiving 622 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.

Organoid Models of Tumor Immunology

2020 278 citations Kanako Yuki, Ning Cheng et al. Trends in Immunology profile →

Peers

Countries citing papers authored by Kanako Yuki

Since Specialization

Citations

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

Fields of papers citing papers by Kanako Yuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanako Yuki

This figure shows the co-authorship network connecting the top 25 collaborators of Kanako Yuki. A scholar is included among the top collaborators of Kanako 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 Kanako Yuki. Kanako 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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15 of 15 papers shown

#	Work	Indexed citations
1	Microdissection tools to generate organoids for modeling the tumor immune microenvironment 2024 ·Microsystems & Nanoengineering ·(unknown), Kanako Yuki, (unknown), Balasubramanian Narasimhan, Calvin J. Kuo, Sindy K. Y. Tang	4
2	IL36G-producing neutrophil-like monocytes promote cachexia in cancer 2024 ·Nature Communications ·Yoshihiro Hayashi, (unknown), (unknown), (unknown), Rika Iwata, (unknown), (unknown), (unknown), Kanako Yuki, Hiroki Kobayashi, Yuka Harada, Hironori Harada	6
3	Regulation of the Blood–Brain Barrier in Health and Disease 2023 ·Cold Spring Harbor Perspectives in Medicine ·(unknown), Kanako Yuki, Jie Ding, Calvin J. Kuo	3
4	Functional screening of amplification outlier oncogenes in organoid models of early tumorigenesis 2023 ·Cell Reports ·Ameen A. Salahudeen, José A. Seoane, Kanako Yuki, Amanda T. Mah, Amber R. Smith, Kevin S. Kolahi, Sean de la O, Daniel J. Hart, Jie Ding, Zhicheng Ma, (unknown), Navika Shukla, (unknown), Michael A. Cantrell, Arpit Batish, Tatsuya Usui, David E. Root, William C. Hahn, Christina Curtis, Calvin J. Kuo	8
5	Immune organoids: from tumor modeling to precision oncology 2022 ·Trends in cancer ·(unknown), Kanako Yuki, Yuan‐Hung Lo, Michitaka Nakano, Calvin J. Kuo	45
6	Suppression of tumor metastasis by a RECK-activating small molecule 2022 ·Scientific Reports ·Yoko Yoshida, Kanako Yuki, Shingo Dan, Kanami Yamazaki, Makoto Noda	4
7	Organoid Models of Tumor Immunology breakdown → 2020 ·Trends in Immunology ·Kanako Yuki, Ning Cheng, Michitaka Nakano, Calvin J. Kuo	278
8	Receptor subtype discrimination using extensive shape complementary designed interfaces 2019 ·Nature Structural & Molecular Biology ·Luke T. Dang, Yi Miao, Andrew Ha, Kanako Yuki, Keunwan Park, Claudia Y. Janda, Kevin M. Jude, Kritika Mohan, (unknown), Mario Vallon, Jenny Yuan, José G. Vilches-Moure, Calvin J. Kuo, K. Christopher García, David Baker	34
9	A RECK-WNT7 Receptor-Ligand Interaction Enables Isoform-Specific Regulation of Wnt Bioavailability 2018 ·Cell Reports ·Mario Vallon, Kanako Yuki, Thi D. Nguyen, Junlei Chang, Jenny Yuan, Dirk H. Siepe, Yi Miao, Markus Essler, Makoto Noda, K. Christopher García, Calvin J. Kuo	76
10	Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from epithelial–mesenchymal Transition in Cancer Cells 2016 ·Cancer Informatics ·Zhipeng Wang, Ryusuke Murakami, Kanako Yuki, Yoko Yoshida, Makoto Noda	2
11	Pattern of RECK CpG methylation as a potential marker for predicting breast cancer prognosis and drug-sensitivity 2016 ·Oncotarget ·(unknown), Yoko Yoshida, Kanako Yuki, T Nishimura, (unknown), Masahiro Kawashima, Keiko Iwaisako, Kiyotsugu Yoshikawa, Junichi Kurebayashi, Masakazu Toi, Makoto Noda	6
12	E-cadherin–downregulation and RECK-upregulation are coupled in the non-malignant epithelial cell line MCF10A but not in multiple carcinoma-derived cell lines 2014 ·Scientific Reports ·Kanako Yuki, Yoko Yoshida, (unknown), Hiroshi Hiai, Makoto Noda	23
13	Glioma-initiating cells and molecular pathology: implications for therapy 2011 ·Brain Tumor Pathology ·Atsushi Natsume, (unknown), Kanako Yuki, Takenori Kato, Masasuke Ohno, Kazuya Motomura, Kenichiro Iwami, Toshihiko Wakabayashi	49
14	Induction of oligodendrogenesis in glioblastoma-initiating cells by IFN-mediated activation of STAT3 signaling 2009 ·Cancer Letters ·Kanako Yuki, Atsushi Natsume, (unknown), Yutaka Kondo, Masasuke Ohno, Takenori Kato, (unknown), Motokazu Ito, Seung Up Kim, Toshihiko Wakabayashi	38
15	Osteopontin-derived Peptide SVVYGLR Induces Angiogenesis In Vivo 2004 ·Dental Materials Journal ·Yoshinosuke Hamada, Kanako Yuki, Masayuki Okazaki, Wataru Fujitani, Takuya Matsumoto, (unknown), (unknown), Kiyoshi Nokihara, Michiharu Daito, Nariaki Matsuura∥, Junzo Takahashi	53

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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