Daiki Setoyama

2.2k total citations
64 papers, 1.5k citations indexed

About

Daiki Setoyama is a scholar working on Molecular Biology, Physiology and Biological Psychiatry. According to data from OpenAlex, Daiki Setoyama has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Physiology and 8 papers in Biological Psychiatry. Recurrent topics in Daiki Setoyama's work include Mitochondrial Function and Pathology (12 papers), Tryptophan and brain disorders (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Daiki Setoyama is often cited by papers focused on Mitochondrial Function and Pathology (12 papers), Tryptophan and brain disorders (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Daiki Setoyama collaborates with scholars based in Japan, United States and South Korea. Daiki Setoyama's co-authors include Dongchon Kang, Takahiro A. Kato, Daisuke Miura, Masahiro Ohgidani, Takeshi Uchiumi, Shigenobu Kanba, Mikako Yagi, Yoshinori Fujimura, Kohei Hayakawa and Nobuki Kuwano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Daiki Setoyama

62 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daiki Setoyama Japan 22 724 246 243 161 155 64 1.5k
Yiming Sun China 18 815 1.1× 294 1.2× 133 0.5× 173 1.1× 247 1.6× 60 1.6k
Y Liu China 21 497 0.7× 132 0.5× 159 0.7× 132 0.8× 137 0.9× 75 1.3k
Zhiguang Huo United States 23 1.0k 1.4× 272 1.1× 410 1.7× 90 0.6× 93 0.6× 105 2.2k
Gábor Szénási Hungary 22 630 0.9× 166 0.7× 179 0.7× 112 0.7× 167 1.1× 114 2.0k
Jie Ma China 22 451 0.6× 178 0.7× 125 0.5× 69 0.4× 191 1.2× 97 1.3k
Xue Gong China 25 920 1.3× 327 1.3× 173 0.7× 64 0.4× 92 0.6× 89 1.6k
Yang Du China 25 680 0.9× 223 0.9× 121 0.5× 122 0.8× 195 1.3× 69 1.5k
Xiangdong Sun China 24 830 1.1× 162 0.7× 428 1.8× 137 0.9× 204 1.3× 72 1.9k
Xiaojie Zhang China 24 648 0.9× 163 0.7× 235 1.0× 216 1.3× 149 1.0× 88 1.5k
Tao Xue China 21 390 0.5× 192 0.8× 124 0.5× 66 0.4× 198 1.3× 102 1.3k

Countries citing papers authored by Daiki Setoyama

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daiki Setoyama

This figure shows the co-authorship network connecting the top 25 collaborators of Daiki Setoyama. A scholar is included among the top collaborators of Daiki Setoyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daiki Setoyama. Daiki Setoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kajiwara, Kenta, Daiki Setoyama, Satoshi Akamine, et al.. (2025). Glutamate in cerebrospinal fluid as a diagnostic marker for acute encephalopathy in childhood. Brain and Development. 47(5). 104448–104448. 1 indexed citations
3.
Song, Xiaoyu, Yukiko Imai, Nobuhito Mori, et al.. (2024). Collagen Lattice Model, Populated with Heterogeneous Cancer-Associated Fibroblasts, Facilitates Advanced Reconstruction of Pancreatic Cancer Microenvironment. International Journal of Molecular Sciences. 25(7). 3740–3740. 1 indexed citations
4.
Fujii, Fumihiko, Daiki Setoyama, Yoshitomo Motomura, et al.. (2024). ATP1A3 regulates protein synthesis for mitochondrial stability under heat stress. Disease Models & Mechanisms. 17(6). 2 indexed citations
5.
Yagi, Mikako, Kenji Miki, Daiki Setoyama, et al.. (2024). Cardiomyocyte-specific deletion of the mitochondrial transporter Abcb10 causes cardiac dysfunction via lysosomal-mediated ferroptosis. Bioscience Reports. 44(5). 2 indexed citations
6.
Takenaka, T, Yu‐ichiro Ohnishi, Masamichi Yamamoto, Daiki Setoyama, & Haruhiko Kishima. (2023). Glycolytic System in Axons Supplement Decreased ATP Levels after Axotomy of the Peripheral Nerve. eNeuro. 10(3). ENEURO.0353–22.2023. 3 indexed citations
7.
Song, Xiaoyu, et al.. (2023). Exploring the Role of Desmoplastic Physical Stroma in Pancreatic Cancer Progression Using a Three-Dimensional Collagen Matrix Model. Bioengineering. 10(12). 1437–1437. 2 indexed citations
8.
Song, Xiaoyu, et al.. (2023). Decoding Metabolic Symbiosis between Pancreatic Cancer Cells and Cancer-Associated Fibroblasts Using Cultured Tumor Microenvironment. International Journal of Molecular Sciences. 24(13). 11015–11015. 5 indexed citations
9.
Yagi, Mikako, Shinya Matsumoto, Daiki Setoyama, et al.. (2023). Mitochondrial haplotype mutation alleviates respiratory defect of MELAS by restoring taurine modification in tRNA with 3243A > G mutation. Nucleic Acids Research. 51(14). 7480–7495. 4 indexed citations
10.
Miki, Kenji, Daiki Setoyama, Chiaki Abe, et al.. (2023). Improving lysosomal ferroptosis with NMN administration protects against heart failure. Life Science Alliance. 6(12). e202302116–e202302116. 20 indexed citations
11.
Setoyama, Daiki, Takahiro A. Kato, Dongchon Kang, et al.. (2022). Changes in the metabolites of cerebrospinal fluid induced by rTMS in treatment-resistant depression: A pilot study. Psychiatry Research. 313. 114636–114636. 5 indexed citations
12.
13.
Yagi, Mikako, et al.. (2021). Mitochondrial translation deficiency impairs NAD + ‐mediated lysosomal acidification. The EMBO Journal. 40(8). e105268–e105268. 40 indexed citations
14.
Nakashima, Yuya, et al.. (2021). Attenuating Effect of Chlorella Extract on NLRP3 Inflammasome Activation by Mitochondrial Reactive Oxygen Species. Frontiers in Nutrition. 8. 763492–763492. 5 indexed citations
15.
Kato, Takahiro A., Ryoko Katsuki, Hiroaki Kubo, et al.. (2019). Development and validation of the 22‐item Tarumi's Modern‐Type Depression Trait Scale: Avoidance of Social Roles, Complaint, and Low Self‐Esteem (TACS‐22). Psychiatry and Clinical Neurosciences. 73(8). 448–457. 32 indexed citations
16.
Suzuki, Hisaomi, Masahiro Ohgidani, Nobuki Kuwano, et al.. (2019). Suicide and Microglia: Recent Findings and Future Perspectives Based on Human Studies. Frontiers in Cellular Neuroscience. 13. 31–31. 165 indexed citations
17.
Maekawa, Satoshi, Shingo Takada, Hideo Nambu, et al.. (2019). Linoleic acid improves assembly of the CII subunit and CIII2/CIV complex of the mitochondrial oxidative phosphorylation system in heart failure. Cell Communication and Signaling. 17(1). 128–128. 36 indexed citations
18.
Gotoh, Kazuhito, Takafumi Morisaki, Daiki Setoyama, et al.. (2018). Mitochondrial p32/C1qbp Is a Critical Regulator of Dendritic Cell Metabolism and Maturation. Cell Reports. 25(7). 1800–1815.e4. 50 indexed citations
19.
Matsumoto, Takashi, Takeshi Uchiumi, Mikako Yagi, et al.. (2017). Doxycycline induces apoptosis via ER stress selectively to cells with a cancer stem cell-like properties: importance of stem cell plasticity. Oncogenesis. 6(11). 397–397. 37 indexed citations
20.
Setoyama, Daiki, et al.. (2010). Molecular actions of Escherichia coli MutT for control of spontaneous mutagenesis. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 707(1-2). 9–14. 19 indexed citations

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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