S. Koshiba

7.2k total citations
79 papers, 2.2k citations indexed

About

S. Koshiba is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, S. Koshiba has authored 79 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 12 papers in Physiology and 11 papers in Cell Biology. Recurrent topics in S. Koshiba's work include Metabolomics and Mass Spectrometry Studies (12 papers), RNA and protein synthesis mechanisms (9 papers) and Protein Structure and Dynamics (8 papers). S. Koshiba is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (12 papers), RNA and protein synthesis mechanisms (9 papers) and Protein Structure and Dynamics (8 papers). S. Koshiba collaborates with scholars based in Japan, United States and Italy. S. Koshiba's co-authors include T. Kigawa, Shigeyuki Yokoyama, Akira Kikuchi, N. Tochio, Tadaomi Takenawa, Toshiki Itoh, Daisuke Saigusa, Masayuki Yamamoto, Satoru Watanabe and Peter Güntert and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

S. Koshiba

74 papers receiving 2.2k citations

Peers

S. Koshiba

GENET

PHYSI

Sang Hoon Ha South Korea

Xinjiao Gao China

Barbara Spolaore Italy

Yue‐He Ding China

Frank Stein Germany

Ulrich Stelzl Germany

Sarah Cohen United States

Attila Reményi Hungary

Chang‐Deng Hu United States

Simon A. Rudge United Kingdom

Sang Hoon Ha South Korea

S. Koshiba

1.8k ×1.1

439 ×0.8

149 ×0.8

GENET

120 ×0.6

253 ×1.7

PHYSI

Citations per year, relative to S. Koshiba S. Koshiba (= 1×) peers Sang Hoon Ha

Countries citing papers authored by S. Koshiba

Since Specialization

Citations

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

Fields of papers citing papers by S. Koshiba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Koshiba

This figure shows the co-authorship network connecting the top 25 collaborators of S. Koshiba. A scholar is included among the top collaborators of S. Koshiba 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 S. Koshiba. S. Koshiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hishinuma, Eiji, Risa Ebina‐Shibuya, Eisaku Miyauchi, et al.. (2025). Histological and genetic features and therapeutic responses of lung cancers explored via the global analysis of their metabolome profile. Lung Cancer. 200. 108082–108082. 1 indexed citations

Kiuchi, Sakura, Kumi Nakaya, Upul Cooray, et al.. (2024). A Principal Component Analysis of Metabolome and Cognitive Decline Among Japanese Older Adults: Cross-sectional Analysis Using Tohoku Medical Megabank Cohort Study Data. Journal of Epidemiology. 35(1). 39–46.

Fuse, Nobuo, S. Koshiba, Teruhiko Hamanaka, et al.. (2024). Mutations of CYP1B1 and FOXC1 genes for childhood glaucoma in Japanese individuals. Japanese Journal of Ophthalmology. 68(6). 688–701. 1 indexed citations

Motoike, Ikuko N., Eiji Hishinuma, Yuichi Aoki, et al.. (2024). Identifying critical age and gender-based metabolomic shifts in a Japanese population of the Tohoku Medical Megabank cohort. Scientific Reports. 14(1). 15681–15681.

Sato, Shiho, Zhiqian Yu, Mai Sakai, et al.. (2023). Decreased β‐hydroxybutyrate and ketogenic amino acid levels in depressed human adults. European Journal of Neuroscience. 57(6). 1018–1032. 2 indexed citations

Morito, Naoki, Masami Ojima, Shun Ishibashi, et al.. (2023). Transcription factor c-Maf deletion improves streptozotocin-induced diabetic nephropathy by directly regulating Sglt2 and Glut2. JCI Insight. 8(6). 6 indexed citations

Hishinuma, Eiji, Yoshitaka Shirasago, Masahiro Watanabe, et al.. (2023). Global Proteomics for Identifying the Alteration Pathway of Niemann–Pick Disease Type C Using Hepatic Cell Models. International Journal of Molecular Sciences. 24(21). 15642–15642. 5 indexed citations

Hishinuma, Eiji, Muneaki Shimada, Бин Ли, et al.. (2023). Identification of predictive biomarkers for diagnosis and radiation sensitivity of uterine cervical cancer using wide‐targeted metabolomics. Journal of obstetrics and gynaecology research. 49(8). 2109–2117. 6 indexed citations

Sugawara, Yuka, Yosuke Hirakawa, Hajime Nagasu, et al.. (2022). Genome-wide association study of the risk of chronic kidney disease and kidney-related traits in the Japanese population: J-Kidney-Biobank. Journal of Human Genetics. 68(2). 55–64. 1 indexed citations

10.

Saigusa, Daisuke, Yotaro Matsumoto, Koichiro Kato, et al.. (2022). Esterification promotes the intracellular accumulation of roxadustat, an activator of hypoxia-inducible factors, to extend its effective duration. Biochemical Pharmacology. 197. 114939–114939. 5 indexed citations

11.

Suzuki, Takafumi, Jin Inoue, Tatsuro Iso, et al.. (2021). Molecular basis for the disruption of Keap1–Nrf2 interaction via Hinge & Latch mechanism. Communications Biology. 4(1). 576–576. 135 indexed citations

12.

Saigusa, Daisuke, Mami Ishikuro, Taku Obara, et al.. (2021). Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis. Scientific Reports. 11(1). 17777–17777. 8 indexed citations

13.

Takahashi, Yuta, Masao Ueki, Makoto Yamada, et al.. (2020). Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection. Translational Psychiatry. 10(1). 157–157. 27 indexed citations

14.

Ono, Shunsuke, S. Koshiba, Masayuki Yamamoto, et al.. (2020). Amino-acid selective isotope labeling enables simultaneous overlapping signal decomposition and information extraction from NMR spectra. Journal of Biomolecular NMR. 74(2-3). 125–137. 1 indexed citations

15.

Koshiba, S., Ikuko N. Motoike, Daisuke Saigusa, et al.. (2017). Japanese Multi Omics Reference Panel 2017 (jMorp2017). 1 indexed citations

16.

Koshiba, S., Yasutake Katoh, Daisuke Saigusa, et al.. (2015). Japanese Multi Omics Reference Panel.

17.

Terada, Tohru, Ken‐ichiro Nakajima, Masaki Kojima, et al.. (2015). Identification of key neoculin residues responsible for the binding and activation of the sweet taste receptor. Scientific Reports. 5(1). 12947–12947. 6 indexed citations

18.

Nagano, Makoto, Daisuke Hoshino, S. Koshiba, et al.. (2011). ZF21 Protein, a Regulator of the Disassembly of Focal Adhesions and Cancer Metastasis, Contains a Novel Noncanonical Pleckstrin Homology Domain. Journal of Biological Chemistry. 286(36). 31598–31609. 13 indexed citations

19.

Goroncy, Alexander K., S. Koshiba, N. Tochio, et al.. (2009). NMR solution structures of actin depolymerizing factor homology domains. Protein Science. 18(11). 2384–2392. 42 indexed citations

20.

Tochio, N., S. Koshiba, Naohiro Kobayashi, et al.. (2006). Solution structure of the kinase‐associated domain 1 of mouse microtubule‐associated protein/microtubule affinity‐regulating kinase 3. Protein Science. 15(11). 2534–2543. 33 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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