Ayaka Matsumoto

1.7k total citations
76 papers, 961 citations indexed

About

Ayaka Matsumoto is a scholar working on Physiology, Rehabilitation and Geriatrics and Gerontology. According to data from OpenAlex, Ayaka Matsumoto has authored 76 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Physiology, 15 papers in Rehabilitation and 14 papers in Geriatrics and Gerontology. Recurrent topics in Ayaka Matsumoto's work include Nutrition and Health in Aging (38 papers), Stroke Rehabilitation and Recovery (15 papers) and Dysphagia Assessment and Management (12 papers). Ayaka Matsumoto is often cited by papers focused on Nutrition and Health in Aging (38 papers), Stroke Rehabilitation and Recovery (15 papers) and Dysphagia Assessment and Management (12 papers). Ayaka Matsumoto collaborates with scholars based in Japan, Taiwan and Germany. Ayaka Matsumoto's co-authors include Yoshihiro Yoshimura, Fumihiko Nagano, Nariaki Matsuura∥, Miki Hieda, Ai Shiraishi, Yuhki Yokoyama, Yoshifumi Kido, Sayuri Shimazu, Yu Nishioka and Takahiro Bise and has published in prestigious journals such as Journal of the American Chemical Society, Current Biology and Scientific Reports.

In The Last Decade

Ayaka Matsumoto

67 papers receiving 896 citations

Peers

Ayaka Matsumoto
Comparison fields: 5 of 107
  • Molecular Biology 377
  • Physiology 357
  • Geriatrics and Gerontology 116
  • Speech and Hearing 114
  • Rehabilitation 106
Replace Laura Vitiello with:
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Jean‐Baptiste Watelet Belgium
Mats I. Nilsson Canada
Heidi B. IglayReger United States
M. Braga Italy
Osamu Yamamura Japan
Xinyuan Yu China
Yu‐Wen Cheng Taiwan
Laura Vitiello Italy View profile →
Citations per field, relative to Ayaka Matsumoto
Ayaka Matsumoto · 1×
Citations per year, relative to Ayaka Matsumoto
Ayaka Matsumoto · 1×

Countries citing papers authored by Ayaka Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Ayaka Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayaka Matsumoto

This figure shows the co-authorship network connecting the top 25 collaborators of Ayaka Matsumoto. A scholar is included among the top collaborators of Ayaka Matsumoto 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 Ayaka Matsumoto. Ayaka Matsumoto 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
# Work Indexed citations
1 0
2 1
3 0
4 0
5 2
6 2
7 2
8 3
9 4
10 4
11 4
12 4
13 2
14 13
15 2
16 7
17 6
18 21
19 28
20 13

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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