Masayo Sakabe

1.7k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

Masayo Sakabe is a scholar working on Oncology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Masayo Sakabe has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Biotechnology and 3 papers in Biomedical Engineering. Recurrent topics in Masayo Sakabe's work include Cancer Research and Treatments (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Masayo Sakabe is often cited by papers focused on Cancer Research and Treatments (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Masayo Sakabe collaborates with scholars based in Japan and United States. Masayo Sakabe's co-authors include Yasuteru Urano, Daisuke Asanuma, Tetsuo Nagano, Mako Kamiya, Hisataka Kobayashi, Nobuyuki Kosaka, Peter L. Choyke, Mikako Ogawa, Makoto Mitsunaga and Matthew R. Young and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Gut.

In The Last Decade

Masayo Sakabe

7 papers receiving 1.3k citations

Hit Papers

Sensitive β-galactosidase-targeting fluorescence probe fo... 2015 2026 2018 2022 2015 100 200 300
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.

  1. Sensitive β-galactosidase-targeting fluorescence probe for visualizing small peritoneal metastatic tumours in vivo
    2015 357 citations Daisuke Asanuma, Masayo Sakabe et al. Nature Communications profile →

Peers

Masayo Sakabe
Si Si Liew Singapore
Hongbao Fang China
Syed Muhammad Usama United States
Ruibing An China
Richard Ting United States
Shaorui Jia China
Roger R. Nani United States
Jonathan F. Arambula United States
Xu Tan China
Lili Teng China
Si Si Liew Singapore
Masayo Sakabe
Citations per year, relative to Masayo Sakabe Masayo Sakabe (= 1×) peers Si Si Liew

Countries citing papers authored by Masayo Sakabe

Since Specialization
Citations

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

Fields of papers citing papers by Masayo Sakabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayo Sakabe

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

All Works

7 of 7 papers shown
1.
Komori, Takashi, Yuta Yoshino, Kohei Ono, et al.. (2021). A Liposomal Gemcitabine, FF-10832, Improves Plasma Stability, Tumor Targeting, and Antitumor Efficacy of Gemcitabine in Pancreatic Cancer Xenograft Models. Pharmaceutical Research. 38(6). 1093–1106. 14 indexed citations
2.
Asanuma, Daisuke, Masayo Sakabe, Mako Kamiya, et al.. (2015). Sensitive β-galactosidase-targeting fluorescence probe for visualizing small peritoneal metastatic tumours in vivo. Nature Communications. 6(1). 6463–6463. 357 indexed citations breakdown →
3.
Yamashita, Shingo, Masayo Sakabe, Takeaki Ishizawa, et al.. (2013). Visualization of the leakage of pancreatic juice using a chymotrypsin-activated fluorescent probe. British journal of surgery. 100(9). 1220–1228. 45 indexed citations
4.
Sakabe, Masayo, Daisuke Asanuma, Mako Kamiya, et al.. (2012). Rational Design of Highly Sensitive Fluorescence Probes for Protease and Glycosidase Based on Precisely Controlled Spirocyclization. Journal of the American Chemical Society. 135(1). 409–414. 225 indexed citations
5.
Mitsunaga, Makoto, Nobuyuki Kosaka, Peter L. Choyke, et al.. (2012). Fluorescence endoscopic detection of murine colitis-associated colon cancer by topically applied enzymatically rapid-activatable probe. Gut. 62(8). 1179–1186. 85 indexed citations
6.
Kamiya, Mako, Daisuke Asanuma, Erina Kuranaga, et al.. (2011). β-Galactosidase Fluorescence Probe with Improved Cellular Accumulation Based on a Spirocyclized Rhodol Scaffold. Journal of the American Chemical Society. 133(33). 12960–12963. 216 indexed citations
7.
Urano, Yasuteru, Masayo Sakabe, Nobuyuki Kosaka, et al.. (2011). Rapid Cancer Detection by Topically Spraying a γ-Glutamyltranspeptidase–Activated Fluorescent Probe. Science Translational Medicine. 3(110). 110ra119–110ra119. 386 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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