Rie Kanki

704 citations
13 papers · 508 · h-index 9

Impact in

    • Neuroscience and Neuropharmacology Research
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Amyotrophic Lateral Sclerosis Research

Papers in

    • Nicotinic Acetylcholine Receptors Study 2
    • Lipid Membrane Structure and Behavior 1
    • Cholinesterase and Neurodegenerative Diseases 5

Rie Kanki

13 papers receiving 491 citations

Peers

Rie Kanki
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 174
  • Neurology 65
  • Pharmacology 118
  • Neurology 98
  • Biological Psychiatry 13
Replace Sandeep Kumar Barodia with:
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Pedro Garção Portugal
Guozhao Ma China
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Douglas E. McBean United Kingdom
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Rie Kanki relative to Sandeep Kumar Barodia United States Sandeep Kumar Barodia's profile →
Citations per field
00.5×1.6×
Sandeep Kumar Barodia · 1×
Citations per year

Countries citing papers authored by Rie Kanki

Since Specialization
Citations

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

Fields of papers citing papers by Rie Kanki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2002100
2 200499
3 200283
4 200253
5 200450
6 200744
7 200539
8 200818
9 200511
10 19856
11 20213
12 20181
13 20171

About Rie Kanki

Rie Kanki is a scholar working on Molecular Biology, Pharmacology, Neurology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 13 papers that have together received 508 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Mast cells and histamine (1 paper), Lipid Membrane Structure and Behavior (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Migraine and Headache Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (174 citations), Neurology (65 citations), Pharmacology (118 citations), Neurology (98 citations) and Biological Psychiatry (13 citations). Rie Kanki has collaborated with scholars based in Japan and United States. Frequent co-authors include Shun Shimohama, Tomoki Nakamizo, Hideyuki Sawada, Takeshi Kihara, Akinori Akaike, Hirofumi Yamashita, Kazuhiro Honda, Jun Kawamata, Alfred Maelicke and Masakazu Ibi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Neuropharmacology, Brain Research, Cephalalgia 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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