Junko Aoki

881 citations
18 papers · 741 · h-index 12

Impact in

    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Axon Guidance and Neuronal Signaling
    • Neuroscience and Neuropharmacology Research
    • Nerve injury and regeneration

Papers in

    • Protein Kinase Regulation and GTPase Signaling 8
    • Receptor Mechanisms and Signaling 6
    • Connexins and lens biology 3
    • Cellular Mechanics and Interactions 3

Junko Aoki

17 papers receiving 731 citations

Peers

Junko Aoki
Comparison fields: 5 of 79
  • Cell Biology 243
  • Cellular and Molecular Neuroscience 222
  • Developmental Neuroscience 47
  • Neurology 71
  • Immunology and Allergy 50
Replace Takaaki Hirai with:
Takaaki Hirai Japan
Sophie Gomez France
C A Ohmstede United States
Mark I. Mosevitsky Russia
Susan Skuntz United States
Pierre-Alain Fernandez United States
Insil Joung South Korea
Richard I. Tuxworth United Kingdom
Merran C. Derby Australia
Kumi Ozaki Japan
Junko Aoki relative to Takaaki Hirai Japan Takaaki Hirai's profile →
Citations per field
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Takaaki Hirai · 1×
Citations per year

Countries citing papers authored by Junko Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Junko Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Junko 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 Junko Aoki Line = papers co-authored together Junko Aoki links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1998160
2 1998157
3 2000120
4 200159
5 199958
6 200034
7 200030
8 199929
9 200023
10 199918
11 202112
12 202111
13 199911
14 20157
15 20205
16 20204
17 20003
18 20190

About Junko Aoki

Junko Aoki is a scholar working on Molecular Biology, Cell Biology, Parasitology, Neurology and Infectious Diseases, having authored 18 papers that have together received 741 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Receptor Mechanisms and Signaling (6 papers), Cellular Mechanics and Interactions (3 papers), Connexins and lens biology (3 papers), Barrier Structure and Function Studies (3 papers), Cell Adhesion Molecules Research (2 papers), Vector-Borne Animal Diseases (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Cell Biology (243 citations), Cellular and Molecular Neuroscience (222 citations), Developmental Neuroscience (47 citations), Neurology (71 citations) and Immunology and Allergy (50 citations). Junko Aoki has collaborated with scholars based in Japan and Bulgaria. Frequent co-authors include Hironori Katoh, Masahiko Negishi, Atsushi Ichikawa, Yoshiaki Yamaguchi, Hirotada Fujita, Hidekazu Yasui, Kazutoshi Mori, Kazuhiro Nakamura, Hiroshi Hasegawa and Hiroshi Hasegawa. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Biochemical and Biophysical Research Communications, Molecular and Cellular Biology and Scientific Reports.

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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