Koji Nagao

8.5k total citations · 2 hit papers
172 papers, 6.7k citations indexed

About

Koji Nagao is a scholar working on Molecular Biology, Nutrition and Dietetics and Surgery. According to data from OpenAlex, Koji Nagao has authored 172 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 55 papers in Nutrition and Dietetics and 44 papers in Surgery. Recurrent topics in Koji Nagao's work include Fatty Acid Research and Health (49 papers), Cholesterol and Lipid Metabolism (31 papers) and Peroxisome Proliferator-Activated Receptors (17 papers). Koji Nagao is often cited by papers focused on Fatty Acid Research and Health (49 papers), Cholesterol and Lipid Metabolism (31 papers) and Peroxisome Proliferator-Activated Receptors (17 papers). Koji Nagao collaborates with scholars based in Japan, United States and United Kingdom. Koji Nagao's co-authors include Teruyoshi Yanagita, Mitsuhiro Yanagida, Nao Inoue, Chikashi Obuse, Yuming Wang, Hironori Funabiki, Bungo Shirouchi, Kazuki Kumada, Tim Hunt and Hiroyuki Yamano and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Koji Nagao

167 papers receiving 6.5k citations

Hit Papers

Exosomes maintain cellul... 1996 2026 2006 2016 2017 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koji Nagao Japan 44 4.0k 1.2k 1.2k 848 777 172 6.7k
Mary Pat Moyer United States 57 4.4k 1.1× 691 0.6× 583 0.5× 591 0.7× 440 0.6× 181 8.6k
Han Geuk Seo South Korea 48 3.3k 0.8× 474 0.4× 455 0.4× 968 1.1× 534 0.7× 214 7.1k
Rolf Gebhardt Germany 55 4.0k 1.0× 735 0.6× 586 0.5× 1.0k 1.2× 1.1k 1.4× 248 10.4k
Joohun Ha South Korea 58 6.2k 1.5× 424 0.4× 734 0.6× 1.6k 1.9× 584 0.8× 173 10.4k
Dong‐Soon Im South Korea 45 4.5k 1.1× 393 0.3× 817 0.7× 1.1k 1.3× 185 0.2× 207 6.8k
Guowen Liu China 44 2.9k 0.7× 467 0.4× 330 0.3× 808 1.0× 458 0.6× 281 7.1k
Yasushi Tamura Japan 45 4.8k 1.2× 1.1k 0.9× 884 0.8× 952 1.1× 129 0.2× 226 8.0k
Ken‐ichi Yoshida Japan 43 3.2k 0.8× 326 0.3× 483 0.4× 382 0.5× 726 0.9× 215 5.9k
Ryuichiro Sato Japan 39 3.4k 0.8× 309 0.3× 824 0.7× 954 1.1× 230 0.3× 152 6.1k
Tsuyoshi Goto Japan 46 2.6k 0.6× 672 0.6× 315 0.3× 2.4k 2.8× 404 0.5× 240 6.8k

Countries citing papers authored by Koji Nagao

Since Specialization
Citations

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

Fields of papers citing papers by Koji Nagao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Nagao

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Nagao. A scholar is included among the top collaborators of Koji Nagao 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 Koji Nagao. Koji Nagao 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.
Nagai, Toshiharu, Akihiko Yoshida, Hideaki Ishida, et al.. (2024). Ozonated Olive Oil Intake Attenuates Hepatic Steatosis in Obese <i>db</i>/<i>db</i> Mice. Journal of Oleo Science. 73(2). 231–237. 1 indexed citations
2.
Inoue, Nao, Keisuke Tsuge, Teruyoshi Yanagita, Akira Oikawa, & Koji Nagao. (2024). Time-Course Metabolomic Analysis: Production of Betaine Structural Analogs by Fungal Fermentation of Seaweed. Metabolites. 14(4). 201–201. 1 indexed citations
3.
Ariyoshi, Mariko, Ryu‐Suke Nozawa, Sachiko Shibata, et al.. (2023). Structural evidence for protein-protein interaction between the non-canonical methyl-CpG-binding domain of SETDB proteins and C11orf46. Structure. 32(3). 304–315.e5.
4.
Miura, Hisashi, Akie Tanigawa, Koji Nagao, et al.. (2023). Replication dynamics identifies the folding principles of the inactive X chromosome. Nature Structural & Molecular Biology. 30(8). 1224–1237. 9 indexed citations
6.
Nagao, Koji, et al.. (2022). SmcHD1 underlies the formation of H3K9me3 blocks on the inactive X chromosome in mice. Development. 149(15). 12 indexed citations
7.
Nagao, Koji, et al.. (2022). Dried and Fermented Powders of Edible Algae (Neopyropia yezoensis) Attenuate Hepatic Steatosis in Obese Mice. Molecules. 27(9). 2640–2640. 6 indexed citations
8.
Nagao, Koji, Nao Inoue, Kunio Suzuki, Takeshi Shimizu, & Teruyoshi Yanagita. (2021). The Cholesterol Metabolite Cholest-5-en-3-One Alleviates Hyperglycemia and Hyperinsulinemia in Obese (db/db) Mice. Metabolites. 12(1). 26–26. 12 indexed citations
9.
Miura, Hisashi, Saori Takahashi, Koji Nagao, et al.. (2020). Mapping replication timing domains genome wide in single mammalian cells with single-cell DNA replication sequencing. Nature Protocols. 15(12). 4058–4100. 15 indexed citations
10.
Hamanaka, Kohei, Satomi Mitsuhashi, Hiroki Masuda, et al.. (2020). Homozygous nonsense variant in LRIF1 associated with facioscapulohumeral muscular dystrophy. Neurology. 94(23). 88 indexed citations
11.
Wanezaki, Satoshi, et al.. (2020). Hydrophilic β-conglycinin Peptide Reduces Hepatic Triglyceride Accumulation in Obese Model OLETF Rats. Food Science and Technology Research. 26(6). 797–803. 1 indexed citations
12.
Asakawa, Haruhiko, Tomoko Kojidani, Hiroko Osakada, et al.. (2019). Asymmetrical localization of Nup107-160 subcomplex components within the nuclear pore complex in fission yeast. PLoS Genetics. 15(6). e1008061–e1008061. 22 indexed citations
13.
Takahashi, Saori, Hisashi Miura, Koji Nagao, et al.. (2019). Genome-wide stability of the DNA replication program in single mammalian cells. Nature Genetics. 51(3). 529–540. 65 indexed citations
14.
15.
Iwamoto, Masaaki, Hiroko Osakada, Chie Mori, et al.. (2017). Compositionally distinct nuclear pore complexes of functionally distinct dimorphic nuclei in the ciliate Tetrahymena. Journal of Cell Science. 130(10). 1822–1834. 25 indexed citations
16.
Sakata, Yuka, Koji Nagao, Yuko Hoki, et al.. (2017). Defects in dosage compensation impact global gene regulation in the mouse trophoblast. Development. 144(15). 2784–2797. 27 indexed citations
17.
Nagao, Koji. (2010). Prevention of the Metabolic Syndrome with Functional Lipids. Nippon Eiyo Shokuryo Gakkaishi. 63(1). 3–7.
18.
Nagao, Koji, Nao Inoue, Yu‐Ming Wang, Bungo Shirouchi, & Teruyoshi Yanagita. (2005). Dietary Conjugated Linoleic Acid Alleviates Nonalcoholic Fatty Liver Disease in Zucker (fa/fa) Rats. Journal of Nutrition. 135(1). 9–13. 81 indexed citations
19.
Nagao, Koji & Teruyoshi Yanagita. (2004). Physiological Functions of Conjugated Linoleic Acid. Nippon Eiyo Shokuryo Gakkaishi. 57(2). 105–109. 1 indexed citations
20.
Nagao, Koji, et al.. (1996). Carbon dioxide gas embolism in the experimental animal. The Journal of the American Association of Gynecologic Laparoscopists. 3(4). S41–S42. 1 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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