Aiko Ishida

516 citations
43 papers · 380 · h-index 11

Impact in

Papers in

    • Muscle Physiology and Disorders 17
    • Ubiquitin and proteasome pathways 6
    • Adipose Tissue and Metabolism 16

Aiko Ishida

39 papers receiving 363 citations

Peers

Aiko Ishida
Comparison fields: 5 of 65
  • Animal Science and Zoology 116
  • Cell Biology 107
  • Rehabilitation 28
  • Aquatic Science 34
  • Physiology 107
Replace Sophie Duchêne with:
Sophie Duchêne France
V.V.A.M. Schreurs Netherlands
Mika Oe Japan
F.J. Verburg Netherlands
Annie Vincent France
Qinyang Jiang China
Carmen Rodríguez Spain
Estelle Godet France
Brigitte Picard France
Kimiaki Maruyama Japan
Aiko Ishida relative to Sophie Duchêne France Sophie Duchêne's profile →
Citations per field
00.5×4.7×
Sophie Duchêne · 1×
Citations per year

Countries citing papers authored by Aiko Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Aiko Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aiko Ishida, 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 Aiko Ishida Line = papers co-authored together Aiko Ishida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200578
2 200432
3 201127
4 200627
5 201226
6 200915
7 201813
8 201713
9 201612
10 200710
11 202110
12 20129
13 20129
14 20128
15 20188
16 20067
17 20157
18 20156
19 20196
20 20115

About Aiko Ishida

Aiko Ishida is a scholar working on Molecular Biology, Physiology, Cell Biology, Animal Science and Zoology and Epidemiology, having authored 43 papers that have together received 380 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (17 papers), Adipose Tissue and Metabolism (16 papers), Muscle metabolism and nutrition (12 papers), Animal Nutrition and Physiology (7 papers), Ubiquitin and proteasome pathways (6 papers), Meat and Animal Product Quality (6 papers), GABA and Rice Research (3 papers) and Rabbits: Nutrition, Reproduction, Health (3 papers). The work is most often cited by research in Animal Science and Zoology (116 citations), Cell Biology (107 citations), Rehabilitation (28 citations), Aquatic Science (34 citations) and Physiology (107 citations). Aiko Ishida has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Kazuki Nakashima, Masaya KATSUMATA, Makoto Yamazaki, Hiroyuki Abé, Hiroyuki Kobayashi, Daichi Ijiri, Akira Ohtsuka, Yutaka Nakamura, Mitsuto MATSUMOTO and Hitoshi Murakami. Their work appears in journals such as Animal Science Journal, Bioscience Biotechnology and Biochemistry, Amino Acids, Alzheimer s & Dementia and Biochemical and Biophysical Research Communications.

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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