Yuji Ikeno

17.0k total citations · 2 hit papers
97 papers, 6.1k citations indexed

About

Yuji Ikeno is a scholar working on Physiology, Molecular Biology and Aging. According to data from OpenAlex, Yuji Ikeno has authored 97 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Physiology, 39 papers in Molecular Biology and 35 papers in Aging. Recurrent topics in Yuji Ikeno's work include Genetics, Aging, and Longevity in Model Organisms (35 papers), Adipose Tissue and Metabolism (21 papers) and Diet and metabolism studies (14 papers). Yuji Ikeno is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (35 papers), Adipose Tissue and Metabolism (21 papers) and Diet and metabolism studies (14 papers). Yuji Ikeno collaborates with scholars based in United States, China and Japan. Yuji Ikeno's co-authors include Arlan Richardson, Holly Van Remmen, Gene B. Hubbard, Alex Bokov, Viviana Pérez, Seunghyung Lee, James Mele, Randy Strong, Wenbo Qi and James F. Nelson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yuji Ikeno

96 papers receiving 6.0k citations

Hit Papers

Life-long reduction in MnSOD activity results in increase... 2003 2026 2010 2018 2003 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuji Ikeno United States 41 2.8k 2.5k 1.8k 598 596 97 6.1k
Kevin Flurkey United States 29 2.9k 1.0× 2.9k 1.1× 3.1k 1.7× 996 1.7× 495 0.8× 57 7.0k
Adam B. Salmon United States 36 2.5k 0.9× 2.0k 0.8× 1.5k 0.8× 482 0.8× 355 0.6× 91 5.3k
Vladimir N. Anisimov Russia 39 2.5k 0.9× 1.8k 0.7× 1.4k 0.8× 1.3k 2.2× 359 0.6× 235 5.9k
Nancy L. Nadon United States 23 3.1k 1.1× 2.4k 1.0× 2.7k 1.5× 870 1.5× 167 0.3× 43 7.0k
Clinton M. Astle United States 34 3.2k 1.1× 2.6k 1.0× 2.7k 1.5× 879 1.5× 185 0.3× 57 7.6k
Elizabeth Fernández United States 19 2.3k 0.8× 1.9k 0.7× 2.1k 1.2× 713 1.2× 170 0.3× 33 5.2k
Satomi Miwa United Kingdom 35 3.8k 1.3× 3.3k 1.3× 986 0.5× 370 0.6× 156 0.3× 81 7.3k
Alexander A. Soukas United States 22 1.9k 0.7× 1.2k 0.5× 863 0.5× 774 1.3× 462 0.8× 37 4.1k
Warren Ladiges United States 39 3.7k 1.3× 1.7k 0.7× 1.1k 0.6× 293 0.5× 132 0.2× 159 6.5k
William B. Mair United States 35 3.9k 1.4× 2.1k 0.8× 2.7k 1.5× 1.1k 1.9× 171 0.3× 51 7.8k

Countries citing papers authored by Yuji Ikeno

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Ikeno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Ikeno

This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Ikeno. A scholar is included among the top collaborators of Yuji Ikeno 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 Yuji Ikeno. Yuji Ikeno 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
2.
Lee, Hak Joo, Denis Féliers, Yuyang Sun, et al.. (2021). Chloride channel accessory 1 integrates chloride channel activity and mTORC1 in aging‐related kidney injury. Aging Cell. 20(7). e13407–e13407. 11 indexed citations
3.
Hubbard, Gene B., et al.. (2020). Thioredoxin and aging: What have we learned from the survival studies?. PubMed. 2(3). 126–133. 8 indexed citations
4.
Saccon, Tatiana D., Augusto Schneider, Marcelo Borges Cavalcante, et al.. (2019). The enigmatic role of growth hormone in age-related diseases, cognition, and longevity. GeroScience. 41(6). 759–774. 29 indexed citations
5.
Valentine, Joseph M., et al.. (2018). Thioredoxin overexpression in both the cytosol and mitochondria accelerates age-related disease and shortens lifespan in male C57BL/6 mice. GeroScience. 40(5-6). 453–468. 19 indexed citations
6.
Hofmann, Jeffrey W., Xiaoai Zhao, Marco De Cecco, et al.. (2015). Reduced Expression of MYC Increases Longevity and Enhances Healthspan. Cell. 160(3). 477–488. 203 indexed citations
7.
Kennedy, Oran D., Hui Sun, Yingjie Wu, et al.. (2013). Reductions in serum IGF ‐1 during aging impair health span. Aging Cell. 13(3). 408–418. 62 indexed citations
8.
Zhang, Yiqiang, Alex Bokov, Yuji Ikeno, et al.. (2013). Rapamycin Extends Life and Health in C57BL/6 Mice. The Journals of Gerontology Series A. 69A(2). 119–130. 219 indexed citations
9.
Lorenzini, Antonello, Adam B. Salmon, Chad A. Lerner, et al.. (2013). Mice Producing Reduced Levels of Insulin-Like Growth Factor Type 1 Display an Increase in Maximum, but not Mean, Life Span. The Journals of Gerontology Series A. 69(4). 410–419. 38 indexed citations
10.
Ladiges, Warren, Yuji Ikeno, Denny Liggitt, & Piper M. Treuting. (2013). Pathology is a critical aspect of preclinical aging studies. SHILAP Revista de lepidopterología. 3(1). 22451–22451. 9 indexed citations
11.
Ghosh, P., Bing Zhu, Yuji Ikeno, et al.. (2012). Role of β-adrenergic receptors in regulation of hepatic fat accumulation during aging. Journal of Endocrinology. 213(3). 251–261. 54 indexed citations
13.
Bokov, Alex, Neha Garg, Yuji Ikeno, et al.. (2011). Does Reduced IGF-1R Signaling in Igf1r+/− Mice Alter Aging?. PLoS ONE. 6(11). e26891–e26891. 130 indexed citations
14.
Echchgadda, Ibtissam, Ahmed Sabbah, Yuji Ikeno, et al.. (2011). Oncolytic targeting of androgen-sensitive prostate tumor by the respiratory syncytial virus (RSV): consequences of deficient interferon-dependent antiviral defense. BMC Cancer. 11(1). 43–43. 24 indexed citations
15.
Pérez, Viviana, Alex Bokov, Holly Van Remmen, et al.. (2009). Is the oxidative stress theory of aging dead?. Biochimica et Biophysica Acta (BBA) - General Subjects. 1790(10). 1005–1014. 462 indexed citations
16.
Pérez, Viviana, Wook Song, Michael S. Lustgarten, et al.. (2009). Overexpression of Mn Superoxide Dismutase Does Not Increase Life Span in Mice. The Journals of Gerontology Series A. 64A(11). 1114–1125. 166 indexed citations
17.
Ikeno, Yuji, Gene B. Hubbard, Seunghyung Lee, et al.. (2005). Housing Density Does Not Influence the Longevity Effect of Calorie Restriction. The Journals of Gerontology Series A. 60(12). 1510–1517. 70 indexed citations
18.
Kwon, Hyun Joo, Mi Ae Yoo, Kyu Won Kim, et al.. (1999). Regional difference of ROS generation, lipid peroxidaton, and antioxidant enzyme activity in rat brain and their dietary modulation. Archives of Pharmacal Research. 22(4). 361–366. 77 indexed citations
19.
Ikeno, Yuji. (1993). The Properties of An Immature Glial Cell Line (HITS Glioma) Derived from Ethylnitrosourea (ENU)-Induced Rat Glioma. Nagasaki University's Academic Output SITE (Nagasaki University). 38(2). 35–44. 2 indexed citations
20.
Ikeno, Yuji, Isao Shimokawa, Yoshikazu Higami, & Takayoshi Ikeda. (1993). GFAP expression in the subcutaneous tumors of immature glial cell line (HITS glioma) derived from ENU-induced rat glioma. Journal of Neuro-Oncology. 17(3). 191–204. 4 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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