Sayuri Masuda

1.3k total citations
9 papers, 971 citations indexed

About

Sayuri Masuda is a scholar working on Molecular Biology, Neurology and Immunology and Allergy. According to data from OpenAlex, Sayuri Masuda has authored 9 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Immunology and Allergy. Recurrent topics in Sayuri Masuda's work include Barrier Structure and Function Studies (4 papers), Cell Adhesion Molecules Research (4 papers) and Connexins and lens biology (3 papers). Sayuri Masuda is often cited by papers focused on Barrier Structure and Function Studies (4 papers), Cell Adhesion Molecules Research (4 papers) and Connexins and lens biology (3 papers). Sayuri Masuda collaborates with scholars based in Japan, United States and Italy. Sayuri Masuda's co-authors include Mikio Furuse, Tomohito Higashi, Yukako Oda, Shinsaku Tokuda, Shin‐ichiro Kitajiri, Masaya Akashi, Eiichiro Nishi, Junichi Ikenouchi, Hiroyuki Sasaki and Tran C. Thai and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Sayuri Masuda

9 papers receiving 969 citations

Peers

Sayuri Masuda

MB

IMMUN

NEURO

ONCOL

CR

Lianne van de Laar Netherlands

Noushin Mossadegh‐Keller France

Weiwei Deng China

Amir Ben‐Shmuel Israel

Stacey C. Yang United States

Maria Rosaria Italy

Sigal B. Kofman United States

Anke Zobywalski Germany

Patrick Raber United States

Glen C. MacDonald United States

Lianne van de Laar Netherlands

Sayuri Masuda

387 ×0.8

MB

805 ×2.3

IMMUN

102 ×0.4

NEURO

187 ×0.7

ONCOL

72 ×0.4

CR

Citations per year, relative to Sayuri Masuda Sayuri Masuda (= 1×) peers Lianne van de Laar

Countries citing papers authored by Sayuri Masuda

Since Specialization

Citations

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

Fields of papers citing papers by Sayuri Masuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayuri Masuda

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

All Works

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9 of 9 papers shown

1.

Li, Fengkai, Shunsuke Kitajima, Susumu Kohno, et al.. (2019). Retinoblastoma Inactivation Induces a Protumoral Microenvironment via Enhanced CCL2 Secretion. Cancer Research. 79(15). 3903–3915. 67 indexed citations

2.

Kitajima, Shunsuke, Elena V. Ivanova, Sujuan Guo, et al.. (2018). Suppression of STING Associated with LKB1 Loss in KRAS-Driven Lung Cancer. Cancer Discovery. 9(1). 34–45. 348 indexed citations

3.

Higashi, Tomohito, Shinsaku Tokuda, Shin‐ichiro Kitajiri, et al.. (2013). Analysis of the ‘angulin’ proteins LSR, ILDR1 and ILDR2 – tricellulin recruitment, epithelial barrier function and implication in deafness pathogenesis. Journal of Cell Science. 126(16). 3797–3797. 82 indexed citations

4.

Higashi, Tomohito, Shinsaku Tokuda, Shin‐ichiro Kitajiri, et al.. (2012). Analysis of the angulin family consisting of LSR, ILDR1 and ILDR2: tricellulin recruitment, epithelial barrier function and implication in deafness pathogenesis. Journal of Cell Science. 126(Pt 4). 966–77. 159 indexed citations

5.

Furuse, Mikio, Yukako Oda, Tomohito Higashi, Noriko Iwamoto, & Sayuri Masuda. (2012). Lipolysis‐stimulated lipoprotein receptor: a novel membrane protein of tricellular tight junctions. Annals of the New York Academy of Sciences. 1257(1). 54–58. 27 indexed citations

6.

Masuda, Sayuri, Yukako Oda, Hiroyuki Sasaki, et al.. (2011). LSR defines cell corners for tricellular tight junction formation in epithelial cells. Journal of Cell Science. 124(4). 548–555. 198 indexed citations

7.

Akashi, Masaya, Tomohito Higashi, Sayuri Masuda, Takahide Komori, & Mikio Furuse. (2011). A coronary artery disease-associated gene product, JCAD/KIAA1462, is a novel component of endothelial cell–cell junctions. Biochemical and Biophysical Research Communications. 413(2). 224–229. 36 indexed citations

8.

Matsuda, Miho, Yuka Kobayashi, Sayuri Masuda, et al.. (2007). Identification of adherens junction-associated GTPase activating proteins by the fluorescence localization-based expression cloning. Experimental Cell Research. 314(5). 939–949. 21 indexed citations

9.

Kato, Takayuki, Sayuri Masuda, Erina Sakamoto, et al.. (2006). Enhanced neutrophil motility by granulocyte colony‐stimulating factor: the role of extracellular signal‐regulated kinase and phosphatidylinositol 3‐kinase. Immunology. 119(3). 393–403. 33 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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