Kazuko Fujimoto

785 citations
48 papers · 660 indexed · h-index 14
Topics
Neuroscience and Neuropharmacology Research (13 papers)Receptor Mechanisms and Signaling (10 papers)Cholinesterase and Neurodegenerative Diseases (8 papers)
Partner nations
JapanIndiaUnited States

In The Last Decade

Kazuko Fujimoto

47 papers receiving 638 citations

Peers

Kazuko Fujimoto
Comparison fields: 5 of 84
  • Molecular Biology 350
  • Cellular and Molecular Neuroscience 230
  • Pharmacology 157
  • Physiology 95
  • Neurology 76
Replace Akihiro Tobe with:
Akihiro Tobe Japan
Imad Damaj United States
Milan Stoiljković United States
Giorgio Marchese Italy
Silvio Calcagnini Italy
Linda D. Mercer Australia
Banu Cahide Tel Türkiye
Takayoshi Masuoka Japan
Siegfried Hoyer Germany
Kayoko Uezu Japan
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Citations per field
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Akihiro Tobe · 1×
Citations per year

Countries citing papers authored by Kazuko Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by Kazuko Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuko Fujimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuko Fujimoto. A scholar is included among the top collaborators of Kazuko Fujimoto 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 Kazuko Fujimoto. Kazuko Fujimoto 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
#WorkIndexed citations
1 0
2 13
3 18
4 3
5 4
6 19
7 48
8
Phorbol ester enhances choline uptake in cultured porcine brain endothelial cells
2
9 50
10 5
11 53
12 12
13 1
14 10
15 27
16 8
17 1
18 52
19 15
20
IMPROVED SENSITIVITY OF RADIOIMMUNOASSAY FOR MELATONIN BY USING A TRITIATED COMPOUND OF A HIGH SPECIFIC ACTIVITY
2

About Kazuko Fujimoto

Kazuko Fujimoto is a scholar working on Cellular and Molecular Neuroscience, Geriatrics and Gerontology and Pharmacology, having authored 48 papers that have together received 660 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Receptor Mechanisms and Signaling (10 papers) and Cholinesterase and Neurodegenerative Diseases (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (230 citations), Endocrine and Autonomic Systems (73 citations) and Pharmacology (157 citations). Kazuko Fujimoto has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Koichiro Kawashima, Takeshi Suzuki, Hisayo Oohata, Takeshi Fujii, Takeshi Suzuki, Takeshi Fujii, Yuko Miwa, Katsuhiko Nakai, Shin Yamada and Takeshi Suzuki. Their work appears in journals such as Nucleic Acids Research, Brain Research and Journal of Neurochemistry.

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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