Ayaka Saito

28 papers receiving 371 citations

Peers

Ayaka Saito
Comparison fields: 5 of 85
  • Microbiology 62
  • Insect Science 54
  • Molecular Biology 148
  • Immunology 41
  • Clinical Biochemistry 10
Replace R. Hashimoto with:
R. Hashimoto Japan
Yufei Wang China
Yi‐Pin Chang Taiwan
Bingbing Feng China
Klas Broo Sweden
Oleg Klykov United States
Bethany A. Buck‐Koehntop United States
Rakesh Kumar Harishchandra Germany
Marie A. Squire New Zealand
W. Wang United States
Ayaka Saito relative to R. Hashimoto Japan R. Hashimoto's profile →
Citations per field
00.5×10×16×
R. Hashimoto · 1×
Citations per year

Countries citing papers authored by Ayaka Saito

Since Specialization
Citations

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

Fields of papers citing papers by Ayaka Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ayaka Saito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ayaka Saito Line = papers co-authored together Ayaka Saito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018118
2 201567
3 200532
4 202027
5 201721
6 200315
7 200515
8 200914
9 200412
10 20227
11 20206
12 20235
13 20175
14 20185
15
Altered cerebral vessel innervation in spontaneously hypertensive and renal hypertensive rats.
19865
16 20224
17 20223
18
Panel conference. Adsorbent hemoperfusion for blood purification.
19803
19 20242
20 20142

About Ayaka Saito

Ayaka Saito is a scholar working on Microbiology, Molecular Biology, Nature and Landscape Conservation, Ecology and Genetics, having authored 29 papers that have together received 378 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Turtle Biology and Conservation (4 papers), Insect and Pesticide Research (4 papers), Physiological and biochemical adaptations (4 papers), Organic Electronics and Photovoltaics (3 papers), Organic Light-Emitting Diodes Research (3 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Bird parasitology and diseases (2 papers). The work is most often cited by research in Microbiology (62 citations), Insect Science (54 citations), Molecular Biology (148 citations), Immunology (41 citations) and Clinical Biochemistry (10 citations). Ayaka Saito has collaborated with scholars based in Japan and Australia. Frequent co-authors include Ryoichi Sato, Kenjiro Ueda, Morikazu Imamura, Yong‐Jin Pu, Hiroshi Katagiri, So Kawata, Yuki Kurashige, Teruo Beppu, Masaki Hada and Junji Kido. Their work appears in journals such as Journal of Experimental Biology, Advanced Materials, Frontiers in Physiology, International Journal of Urology and PLoS ONE.

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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