Hideyuki Uchimura

2.0k citations
93 papers · 1.8k · h-index 23

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 37
    • Neurotransmitter Receptor Influence on Behavior 25
    • Neuropeptides and Animal Physiology 11
    • Receptor Mechanisms and Signaling 12
    • Metabolomics and Mass Spectrometry Studies 5

Hideyuki Uchimura

92 papers receiving 1.7k citations

Peers

Hideyuki Uchimura
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 963
  • Biological Psychiatry 70
  • Neurology 186
  • Developmental Neuroscience 84
  • Behavioral Neuroscience 38
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Gene C. Palmer United States
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Citations per field
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Citations per year

Countries citing papers authored by Hideyuki Uchimura

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Uchimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994116
2 1998112
3 1976104
4 200096
5 198376
6 199569
7 200161
8 200361
9 199157
10 200047
11 198146
12 199841
13 197937
14 199236
15 199834
16 197534
17 198434
18 198830
19 200027
20 199524

About Hideyuki Uchimura

Hideyuki Uchimura is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Neurology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (37 papers), Neurotransmitter Receptor Influence on Behavior (25 papers), Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (11 papers), Biochemical effects in animals (7 papers), Biochemical Analysis and Sensing Techniques (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (963 citations), Biological Psychiatry (70 citations), Neurology (186 citations), Developmental Neuroscience (84 citations) and Behavioral Neuroscience (38 citations). Hideyuki Uchimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tatsuo Nakahara, Hiroshi Yao, Masatoshi Fujishima, Makoto Hirano, Setsuro Ibayashi, Nobutada Tashiro, Toshihide Kuroki, Kaoru Nakamura, Mariko Saito and Hiroaki Ooboshi. Their work appears in journals such as Brain Research, Journal of Neurochemistry, Neurochemical Research, Cellular and Molecular Life Sciences and Stroke.

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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