Kazuko Aoki

1.4k citations
79 papers · 1.2k · h-index 19

Impact in

  • Physiology top 5%
    • Pain Mechanisms and Treatments
    • Reproductive biology and impacts on aquatic species
    • Alzheimer's disease research and treatments
    • Neuropeptides and Animal Physiology

Papers in

Kazuko Aoki

68 papers receiving 1.1k citations

Peers

Kazuko Aoki
Comparison fields: 5 of 129
  • Physiology 87
  • Cellular and Molecular Neuroscience 192
  • Physiology 173
  • Molecular Biology 408
  • Health, Toxicology and Mutagenesis 81
Replace Tomoko Kanno with:
Tomoko Kanno Japan
Július Brtko Slovakia
Herman G.P. Swarts Netherlands
Cláudia Bincoletto Brazil
Per Amstrup Pedersen Denmark
Keiko Watanabe Japan
Georgios Scheiner‐Bobis Germany
Roberto Sánchez‐Olea Mexico
Paola Arslan Italy
A. K. Sen Canada
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Citations per field
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Citations per year

Countries citing papers authored by Kazuko Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Kazuko Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003118
2 2003117
3 200390
4 199759
5 200451
6 198449
7 200647
8 198945
9 197744
10 198639
11 198332
12 198630
13 200627
14 201027
15 200725
16 196825
17 198122
18 199321
19 198920
20 198618

About Kazuko Aoki

Kazuko Aoki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Oncology and Physiology, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Reproductive biology and impacts on aquatic species (7 papers), Peptidase Inhibition and Analysis (5 papers), Aquaculture disease management and microbiota (4 papers), RNA Research and Splicing (4 papers), Infective Endocarditis Diagnosis and Management (4 papers), Radioactive element chemistry and processing (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). The work is most often cited by research in Physiology (87 citations), Cellular and Molecular Neuroscience (192 citations), Physiology (173 citations), Molecular Biology (408 citations) and Health, Toxicology and Mutagenesis (81 citations). Kazuko Aoki has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Tetsuo Oka, Ayako Nakamura, Toshiki Uchihara, Toyoshi Shimada, Tamio Hayashi, Kuniaki Tsuchiya, Kenji Ikeda, Yoshihiro Wakayama, Hiromichi Matsudaira and Yuji Ishikawa. Their work appears in journals such as Acta Neuropathologica, Journal of Radiation Research, American Heart Journal, Chemical and Pharmaceutical Bulletin and Mutation Research/DNA Repair.

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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