Toyoki Maeda

2.2k total citations
71 papers, 1.3k citations indexed

About

Toyoki Maeda is a scholar working on Physiology, Aging and Molecular Biology. According to data from OpenAlex, Toyoki Maeda has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Physiology, 13 papers in Aging and 12 papers in Molecular Biology. Recurrent topics in Toyoki Maeda's work include Telomeres, Telomerase, and Senescence (37 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers). Toyoki Maeda is often cited by papers focused on Telomeres, Telomerase, and Senescence (37 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers). Toyoki Maeda collaborates with scholars based in Japan, China and United States. Toyoki Maeda's co-authors include Naoki Makino, Jun‐ichi Oyama, Masahiro Sugano, Yoshihiro Higuchi, Koichi Node, Masamichi Koyanagi, Takahiko Horiuchi, Yoshihiro Kudo, Keiko Tsuchida and Jing Guan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Toyoki Maeda

69 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toyoki Maeda Japan 23 627 367 160 124 123 71 1.3k
Aracelie Rivera United States 12 500 0.8× 461 1.3× 106 0.7× 197 1.6× 65 0.5× 15 1.5k
Zsuzsanna Orosz United States 14 561 0.9× 512 1.4× 142 0.9× 203 1.6× 82 0.7× 26 1.6k
Kira Smith United States 12 480 0.8× 531 1.4× 98 0.6× 263 2.1× 78 0.6× 15 1.6k
Outi Saijonmaa Finland 19 824 1.3× 395 1.1× 114 0.7× 154 1.2× 91 0.7× 33 1.6k
Brooke R. Lawson United States 10 473 0.8× 328 0.9× 101 0.6× 157 1.3× 33 0.3× 14 1.3k
Kavithalakshmi Sataranatarajan United States 23 524 0.8× 977 2.7× 69 0.4× 80 0.6× 126 1.0× 33 1.6k
Inés Stella Argentina 18 245 0.4× 363 1.0× 47 0.3× 114 0.9× 74 0.6× 31 1.2k
Betty Pat United States 19 200 0.3× 358 1.0× 49 0.3× 68 0.5× 86 0.7× 39 1.2k
Stefano Di Biase United States 11 701 1.1× 385 1.0× 115 0.7× 121 1.0× 22 0.2× 13 1.3k
R. Garrett Morgan United States 15 375 0.6× 290 0.8× 70 0.4× 196 1.6× 21 0.2× 20 932

Countries citing papers authored by Toyoki Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Toyoki Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toyoki Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Toyoki Maeda. A scholar is included among the top collaborators of Toyoki Maeda 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 Toyoki Maeda. Toyoki Maeda 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.
Choi, Jung-Mi, et al.. (2024). Effects of bathing in different hot spring types on Japanese gut microbiota. Scientific Reports. 14(1). 2316–2316. 5 indexed citations
2.
Nakamura, Hiroki, et al.. (2023). Hot spring bathing practices have a positive effect on mental health in Japan. Heliyon. 9(9). e19631–e19631. 5 indexed citations
3.
Yamasaki, Satoshi, Tomotake Tokunou, Toyoki Maeda, & Takahiko Horiuchi. (2022). Hot spring bathing is associated with a lower prevalence of hypertension among Japanese older adults: a cross-sectional study in Beppu. Scientific Reports. 12(1). 19462–19462. 11 indexed citations
4.
Yamasaki, Satoshi, Toyoki Maeda, & Takahiko Horiuchi. (2022). Association between habitual hot spring bathing and depression in Japanese older adults: A retrospective study in Beppu. Complementary Therapies in Medicine. 72. 102909–102909. 2 indexed citations
5.
Makino, Naoki & Toyoki Maeda. (2020). Calorie restriction delays cardiac senescence and improves cardiac function in obese diabetic rats. Molecular and Cellular Biochemistry. 476(1). 221–229. 15 indexed citations
6.
Maeda, Toyoki, Koshi Mimori, Sadao Suzuki, Takahiko Horiuchi, & Naoki Makino. (2018). Preventive and promotive effects of habitual hot spa-bathing on the elderly in Japan. Scientific Reports. 8(1). 133–133. 12 indexed citations
7.
Maeda, Toyoki, Yoshihiro Kudo, Takahiko Horiuchi, & Naoki Makino. (2017). Clinical and anti-aging effect of mud-bathing therapy for patients with fibromyalgia. Molecular and Cellular Biochemistry. 444(1-2). 87–92. 18 indexed citations
8.
9.
Makino, Naoki, Jun‐ichi Oyama, Toyoki Maeda, et al.. (2015). Calorie restriction increases telomerase activity, enhances autophagy, and improves diastolic dysfunction in diabetic rat hearts. Molecular and Cellular Biochemistry. 403(1-2). 1–11. 21 indexed citations
10.
Maeda, Toyoki, et al.. (2014). Patients with multiple sclerosis show increased oxidative stress markers and somatic telomere length shortening. Molecular and Cellular Biochemistry. 400(1-2). 183–187. 68 indexed citations
11.
12.
Maeda, Toyoki, Jing Guan, Masamichi Koyanagi, Yoshihiro Higuchi, & Naoki Makino. (2012). Aging-Associated Alteration of Telomere Length and Subtelomeric Status in Female Patients With Parkinson's Disease. Journal of Neurogenetics. 26(2). 245–251. 37 indexed citations
13.
Maeda, Toyoki, Jingzhi Guan, Masamichi Koyanagi, & Naoki Makino. (2012). Telomerase activity and telomere length distribution in vascular endothelial cells in a short‐term culture under the presence of hydrogen peroxide. Geriatrics and gerontology international. 13(3). 774–782. 13 indexed citations
14.
Maeda, Toyoki, et al.. (2012). Different levels of hypoxia regulate telomere length and telomerase activity. Aging Clinical and Experimental Research. 24(3). 213–217. 22 indexed citations
15.
16.
Maeda, Toyoki, et al.. (2010). The correlation between the telomeric parameters and the clinical laboratory data in the patients with brain infarct and metabolic disorders. The journal of nutrition health & aging. 14(9). 793–797. 4 indexed citations
17.
Maeda, Toyoki, et al.. (2009). Aging-Associated Alteration of Subtelomeric Methylation in Parkinson's Disease. The Journals of Gerontology Series A. 64A(9). 949–955. 42 indexed citations
18.
Guan, Jian‐Lian, et al.. (2007). An Analysis of Telomere Length in Sarcoidosis. The Journals of Gerontology Series A. 62(11). 1199–1203. 32 indexed citations
19.
Kunisaki, Reiko, Shuntaro Ikawa, Toyoki Maeda, et al.. (2006). p51/p63, a novel p53 homologue, potentiates p53 activity and is a human cancer gene therapy candidate. The Journal of Gene Medicine. 8(9). 1121–1130. 18 indexed citations
20.
Maeda, Toyoki, et al.. (2002). Molecular analysis of the transferrin gene in a patient with hereditary hypotransferrinemia. Journal of Human Genetics. 47(7). 355–359. 15 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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