Ran Inoue
Impact in
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
Papers in
- Biochemistry 17
- Amino Acid Enzymes and Metabolism 17
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- Epigenetics and DNA Methylation 8
- Co-authors
- Hisashi Mori (27 shared papers)Kenji Hashimoto (5 shared papers)Toshio Miyawaki (4 shared papers)Kazuhisa Hongou (2 shared papers)Kenji Sakimura (1 shared paper)Manabu Abe (1 shared paper)Kazushi Miya (1 shared paper)Yoshimi Takata (1 shared paper)
- Journals
- Journal of Neuroscience (3 papers)PLoS ONE (3 papers)Epilepsy Research (1 paper)Neurobiology of Learning and Memory (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Ran Inoue
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Biochemistry 683
- Biological Psychiatry 148
- Cellular and Molecular Neuroscience 471
- Clinical Biochemistry 165
- Developmental Neuroscience 46
Countries citing papers authored by Ran Inoue
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
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.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 205 | |
| 2 | 2013 | 191 | |
| 3 | 2008 | 148 | |
| 4 | 2011 | 85 | |
| 5 | 2015 | 70 | |
| 6 | 2015 | 55 | |
| 7 | 2017 | 45 | |
| 8 | 2014 | 37 | |
| 9 | 2014 | 33 | |
| 10 | 2013 | 27 | |
| 11 | 2010 | 25 | |
| 12 | 2018 | 23 | |
| 13 | 2011 | 22 | |
| 14 | 2012 | 22 | |
| 15 | 2018 | 20 | |
| 16 | 2012 | 20 | |
| 17 | 2014 | 18 | |
| 18 | 2011 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2016 | 11 |
About Ran Inoue
Ran Inoue is a scholar working on Biochemistry, Molecular Biology, Cellular and Molecular Neuroscience, Clinical Biochemistry and Physiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (17 papers), Neuroscience and Neuropharmacology Research (11 papers), Epigenetics and DNA Methylation (8 papers), Metabolism and Genetic Disorders (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune cells in cancer (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Biochemistry (683 citations), Biological Psychiatry (148 citations), Cellular and Molecular Neuroscience (471 citations), Clinical Biochemistry (165 citations) and Developmental Neuroscience (46 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, Kenji Sakimura, Manabu Abe, Kazushi Miya, Yoshimi Takata, Rie Natsume and Yūkō Fujita. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, Epilepsy Research, Neurobiology of Learning and Memory and Frontiers in Neuroscience.
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.