Keiko Kano

508 total citations
25 papers, 351 citations indexed

About

Keiko Kano is a scholar working on Molecular Biology, Oncology and Biochemistry. According to data from OpenAlex, Keiko Kano has authored 25 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Biochemistry. Recurrent topics in Keiko Kano's work include Lipid metabolism and biosynthesis (3 papers), RNA modifications and cancer (3 papers) and Click Chemistry and Applications (2 papers). Keiko Kano is often cited by papers focused on Lipid metabolism and biosynthesis (3 papers), RNA modifications and cancer (3 papers) and Click Chemistry and Applications (2 papers). Keiko Kano collaborates with scholars based in Japan, United States and China. Keiko Kano's co-authors include Douglas Osei‐Hyiaman, Hideto Takahashi, Lifang Hou, Takashi Takahashi, Kentaro Semba, Takaki Yamamoto, K Toyoshima, Satoshi Toyokawa, Yuji Yamanashi and Tokiharu Takahashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Keiko Kano

23 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiko Kano Japan 10 143 57 55 44 43 25 351
Patrick Beaulieu Canada 13 343 2.4× 45 0.8× 41 0.7× 11 0.3× 70 1.6× 27 594
Cristiana Godeas Italy 10 142 1.0× 56 1.0× 116 2.1× 5 0.1× 12 0.3× 13 443
Cristina Ramondetti Italy 9 136 1.0× 27 0.5× 37 0.7× 5 0.1× 25 0.6× 17 297
Xue Cai China 8 276 1.9× 23 0.4× 27 0.5× 10 0.2× 37 0.9× 24 437
Corrina M. de Ridder Netherlands 12 203 1.4× 39 0.7× 129 2.3× 6 0.1× 81 1.9× 12 557
Renius Owen United States 12 130 0.9× 11 0.2× 24 0.4× 5 0.1× 16 0.4× 23 329
Xiufei Chen China 7 433 3.0× 44 0.8× 41 0.7× 4 0.1× 124 2.9× 8 607
Tyrell N. Cartwright United Kingdom 6 157 1.1× 83 1.5× 45 0.8× 4 0.1× 74 1.7× 10 316
Yun He China 11 199 1.4× 94 1.6× 53 1.0× 2 0.0× 54 1.3× 25 487
Luciana Costa Portugal 10 81 0.6× 49 0.9× 23 0.4× 3 0.1× 28 0.7× 26 375

Countries citing papers authored by Keiko Kano

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Kano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Kano

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Kano. A scholar is included among the top collaborators of Keiko Kano 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 Kano. Keiko Kano 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.
Kano, Keiko, et al.. (2025). Identification of barley-derived peptides with angiotensin converting enzyme inhibitory activity. International Journal of Food Engineering. 21(2). 87–95.
2.
Yamaguchi, Masashi, Shuji Shigenobu, Katsushi Yamaguchi, et al.. (2025). LIPID RICH 1 modulates allocation of carbon between starch and triacylglycerol in Arabidopsis leaves. Journal of Experimental Botany. 76(8). 2144–2161. 1 indexed citations
3.
Watanabe, Shunsuke, Keisuke Tokunaga, Yudai Tanaka, et al.. (2025). β-Fluorovinylsulfonamide as a Highly Reactivity- and Structure-Tunable Electrophile for Covalent Targeting of Proteins. Journal of the American Chemical Society. 147(41). 37065–37078. 1 indexed citations
4.
5.
Shi, Yue, Hong Li, Hiroyuki Ozeki, et al.. (2024). Ultrafast 2D Nanosheet Assembly via Spontaneous Spreading Phenomenon. Small. 20(36). e2403915–e2403915. 7 indexed citations
6.
Kamiya, Kohei, Fumie Nakashima, Jun Yoshitake, et al.. (2024). Isocitrate dehydrogenase 1 upregulation in urinary extracellular vesicles from proximal tubules of type 2 diabetic rats. The FASEB Journal. 38(10). e23688–e23688. 1 indexed citations
7.
Mishiro‐Sato, Emi, et al.. (2024). Lipid droplets in Arabidopsis thaliana leaves contain myosin-binding proteins and enzymes associated with furan-containing fatty acid biosynthesis. Frontiers in Plant Science. 15. 1331479–1331479. 4 indexed citations
8.
Fujino, Tomoshige, et al.. (2024). Ser/Leu-swapped cell-free translation system constructed with natural/in vitro transcribed-hybrid tRNA set. Nature Communications. 15(1). 4143–4143. 2 indexed citations
9.
Nakamura, Akinobu, Xiaotong Wang, K Mitamura, et al.. (2024). γ-Secretase Cleaves Bifunctional Fatty Acid-Conjugated Small Molecules with Amide Bonds in Mammalian Cells. ACS Chemical Biology. 19(12). 2438–2450. 2 indexed citations
10.
Niimi, Atsuko, Siripan Limsirichaikul, Keiko Kano, et al.. (2023). LASP1, CERS6, and Actin Form a Ternary Complex That Promotes Cancer Cell Migration. Cancers. 15(10). 2781–2781. 5 indexed citations
11.
Aihara, Yusuke, Shinya Sato, Keiko Kano, et al.. (2023). Discovery of 2,6-Dihalopurines as Stomata Opening Inhibitors: Implication of an LRX-Mediated H + -ATPase Phosphorylation Pathway. ACS Chemical Biology. 18(2). 347–355. 6 indexed citations
12.
Kajino, Taisuke, Teppei Shimamura, Kiyoshi Yanagisawa, et al.. (2019). Divergent lnc RNA MYMLR regulates MYC by eliciting DNA looping and promoter‐enhancer interaction. The EMBO Journal. 38(17). e98441–e98441. 26 indexed citations
13.
Yanagisawa, K, et al.. (2017). TTF-1/NKX2-1 binds to DDB1 and confers replication stress resistance to lung adenocarcinomas. Oncogene. 36(26). 3740–3748. 20 indexed citations
14.
15.
Tamiya, Nanako, Yasuki Kobayashi, Shigeki Murakami, et al.. (2001). Factors related to home discharge of cerebrovascular disease patients: 1-year follow-up interview survey of caregivers of hospitalized patients in 53 acute care hospitals in Japan. Archives of Gerontology and Geriatrics. 33(2). 109–121. 5 indexed citations
16.
Osei‐Hyiaman, Douglas, et al.. (2001). Coronary artery disease risk in Chinese type 2 diabetics: is there a role for paraxonase 1 gene (Q192R) polymorphism?. European Journal of Endocrinology. 144(6). 639–644. 29 indexed citations
17.
Hou, Lifang, et al.. (2000). Molecular characterization of pncA gene mutations in Mycobacterium tuberculosis clinical isolates from China. Epidemiology and Infection. 124(2). 227–232. 39 indexed citations
18.
Osei‐Hyiaman, Douglas, et al.. (1999). Influence of Grip Strength on Metacarpal Bone Mineral Density in Postmenopausal Japanese Women: A Cross-Sectional Study. Calcified Tissue International. 64(3). 263–266. 38 indexed citations
19.
Osei‐Hyiaman, Douglas, et al.. (1998). Timing of Menopause, Reproductive Years, and Bone Mineral Density: A Cross-Sectional Study of Postmenopausal Japanese Women. American Journal of Epidemiology. 148(11). 1055–1061. 46 indexed citations
20.
Katagiri, Takuya, Yuji Yamanashi, Kentaro Semba, et al.. (1989). Overexpression of src family gene for tyrosine-kinase p59fyn in CD4-CD8- T cells of mice with a lymphoproliferative disorder.. Proceedings of the National Academy of Sciences. 86(24). 10064–10068. 65 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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