Masako Ayaki

572 citations
15 papers · 501 indexed · h-index 10
Topics
Protein Kinase Regulation and GTPase Signaling (4 papers)Liver physiology and pathology (3 papers)Cellular Mechanics and Interactions (3 papers)
Partner nations
JapanUnited States

In The Last Decade

Masako Ayaki

15 papers receiving 494 citations

Peers

Masako Ayaki
Comparison fields: 5 of 73
  • Molecular Biology 294
  • Cell Biology 119
  • Immunology and Allergy 87
  • Oncology 85
  • Immunology 79
Replace Hai-Su Yang with:
Hai-Su Yang United States
Tilahun Jiffar United States
Zhiping Wang United States
T Kano Japan
B. M. T. Burgering Netherlands
Puneeta Arora United States
Emily C. Brantley United States
Mahn Joon Ha South Korea
An Rykx Belgium
Thomas K. Schlesinger United States
Masako Ayaki relative to Hai-Su Yang United States Hai-Su Yang's profile →
Citations per field
00.5×1.5×2.2×
Hai-Su Yang · 1×
Citations per year

Countries citing papers authored by Masako Ayaki

Since Specialization
Citations

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

Fields of papers citing papers by Masako Ayaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Ayaki

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 7
2
A Case of Brain Abscess caused by Nocardia asiatica
2
3 20
4
Sustained tyrosine-phosphorylation of FAK through Rho-dependent adhesion to fibronectin is essential for cancer cell migration.
14
5 54
6 53
7
Reduced expression of focal adhesion kinase in liver metastases compared with matched primary human colorectal adenocarcinomas.
68
8 91
9 20
10 68
11 29
12 71
13 1
14 1
15 2

About Masako Ayaki

Masako Ayaki is a scholar working on Microbiology, Hepatology and Immunology and Allergy, having authored 15 papers that have together received 501 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Liver physiology and pathology (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Immunology and Allergy (87 citations), Cell Biology (119 citations) and Developmental Neuroscience (22 citations). Masako Ayaki has collaborated with scholars based in Japan and United States. Frequent co-authors include Mutsuko Mukai, Fumio Imamura, Hiroyuki Nakamura, Masaharu Tatsuta, Kiyoko Shinkai, Hitoshi Akedo, Masao Kameyama, Jun Miyoshi, Teruo Iwasaki and Keiko Komatsu. Their work appears in journals such as Journal of Allergy and Clinical Immunology, International Journal of Cancer and Journal of Cellular Physiology.

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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