Daiki Setoyama
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Tryptophan and brain disorders 7
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- Mitochondrial Function and Pathology 11
- Metabolomics and Mass Spectrometry Studies 8
- RNA Research and Splicing 4
- Co-authors
- Dongchon Kang (35 shared papers)Takahiro A. Kato (20 shared papers)Daisuke Miura (7 shared papers)Takeshi Uchiumi (17 shared papers)Shigenobu Kanba (8 shared papers)Masahiro Ohgidani (7 shared papers)Mikako Yagi (13 shared papers)Yoshinori Fujimura (5 shared papers)
- Journals
- Scientific Reports (7 papers)The Journal of Biochemistry (4 papers)Cell Reports (3 papers)PLoS ONE (2 papers)Cellular and Molecular Life Sciences (2 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Daiki Setoyama
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Biological Psychiatry 225
- Behavioral Neuroscience 98
- Neurology 156
- Molecular Biology 799
- Developmental Neuroscience 42
Countries citing papers authored by Daiki Setoyama
This map shows the geographic impact of Daiki Setoyama'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 Daiki Setoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiki Setoyama more than expected).
Fields of papers citing papers by Daiki Setoyama
This network shows the impact of papers produced by Daiki Setoyama. 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 Daiki Setoyama. The network helps show where Daiki Setoyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Daiki Setoyama, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 177 | |
| 2 | 2015 | 118 | |
| 3 | 2016 | 111 | |
| 4 | 2014 | 110 | |
| 5 | 2012 | 91 | |
| 6 | 2007 | 66 | |
| 7 | 2020 | 60 | |
| 8 | 2017 | 58 | |
| 9 | 2018 | 55 | |
| 10 | 2018 | 53 | |
| 11 | 2021 | 53 | |
| 12 | 2022 | 49 | |
| 13 | 2013 | 48 | |
| 14 | 2017 | 48 | |
| 15 | 2021 | 47 | |
| 16 | 2017 | 41 | |
| 17 | 2019 | 40 | |
| 18 | 2019 | 39 | |
| 19 | 2020 | 39 | |
| 20 | 2023 | 35 |
About Daiki Setoyama
Daiki Setoyama is a scholar working on Biological Psychiatry, Molecular Biology, Cancer Research, Physiology and Oncology, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Tryptophan and brain disorders (7 papers), Adipose Tissue and Metabolism (5 papers), Cancer Cells and Metastasis (4 papers), RNA Research and Splicing (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Biological Psychiatry (225 citations), Behavioral Neuroscience (98 citations), Neurology (156 citations), Molecular Biology (799 citations) and Developmental Neuroscience (42 citations). Daiki Setoyama has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Dongchon Kang, Takahiro A. Kato, Daisuke Miura, Takeshi Uchiumi, Shigenobu Kanba, Masahiro Ohgidani, Mikako Yagi, Yoshinori Fujimura, Kohei Hayakawa and Nobuki Kuwano. Their work appears in journals such as Scientific Reports, The Journal of Biochemistry, Cell Reports, PLoS ONE and Cellular and Molecular Life Sciences.
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.