Ran Inoue

1.4k citations
30 papers · 1.1k indexed · h-index 17

Impact in

Papers in

Ran Inoue

30 papers receiving 1.1k citations

Peers

Ran Inoue
Comparison fields: 5 of 88
  • Biochemistry 653
  • Biological Psychiatry 161
  • Cellular and Molecular Neuroscience 474
  • Clinical Biochemistry 169
  • Developmental Neuroscience 43
Replace Jeffrey T. Ehmsen with:
Jeffrey T. Ehmsen United States
Tommaso Nuzzo Italy
Inmaculada M. González‐González Spain
S. Rasika Wickramasinghe United States
Jojanneke H.J. Huck Netherlands
Carolina Maestre Spain
D. Z. Gerhart United States
P. Shashidharan United States
Anna Maio Italy
Carmen R. Sunico Spain
Ran Inoue relative to Jeffrey T. Ehmsen United States Jeffrey T. Ehmsen's profile →
Citations per field
00.5×3.3×
Jeffrey T. Ehmsen · 1×
Citations per year

Countries citing papers authored by Ran Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Ran Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20233
3 20188
4 201817
5 201814
6 201820
7 201611
8 20167
9 20156
10 201562
11 201553
12 201431
13 201325
14 2013181
15 201218
16 201220
17 20121
18 201182
19 201024
20 2008196

About Ran Inoue

Ran Inoue is a scholar working on Biochemistry, Biological Psychiatry, Cellular and Molecular Neuroscience, Clinical Biochemistry and Toxicology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (16 papers), Epigenetics and DNA Methylation (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Metabolism and Genetic Disorders (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Memory and Neural Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biochemistry (653 citations), Biological Psychiatry (161 citations), Cellular and Molecular Neuroscience (474 citations), Clinical Biochemistry (169 citations) and Developmental Neuroscience (43 citations). Ran Inoue has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Hisashi Mori, Kenji Hashimoto, Toshio Miyawaki, Kazuhisa Hongou, Manabu Abe, Yoshimi Takata, Kenji Sakimura, Kazushi Miya, Rie Natsume and Yūkō Fujita. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, Scientific Reports, Frontiers in Aging Neuroscience and Epilepsy Research.

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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