Tomoki Ikuta

801 total citations
18 papers, 438 citations indexed

About

Tomoki Ikuta is a scholar working on Molecular Biology, Immunology and Allergy and Geriatrics and Gerontology. According to data from OpenAlex, Tomoki Ikuta has authored 18 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and Allergy and 4 papers in Geriatrics and Gerontology. Recurrent topics in Tomoki Ikuta's work include Cell Adhesion Molecules Research (5 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Exercise and Physiological Responses (3 papers). Tomoki Ikuta is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Exercise and Physiological Responses (3 papers). Tomoki Ikuta collaborates with scholars based in Japan, Czechia and Taiwan. Tomoki Ikuta's co-authors include Kenichi Matsumoto, Hiroyoshi Ariga, Takeharu Minamitani, Hiroko Tani, Tomoki Tatefuji, Norio Sogawa, Toshimichi Ikemura, Gen Takebe, Mami Sato and Takanori Nishimura and has published in prestigious journals such as Scientific Reports, The American Journal of Human Genetics and Gene.

In The Last Decade

Tomoki Ikuta

17 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoki Ikuta Japan 11 122 113 105 96 62 18 438
Xiaoling Liu China 12 176 1.4× 24 0.2× 34 0.3× 66 0.7× 39 0.6× 24 369
Yanting Wang China 15 214 1.8× 16 0.1× 121 1.2× 115 1.2× 70 1.1× 33 570
Ekkehard May Germany 5 60 0.5× 41 0.4× 69 0.7× 19 0.2× 19 0.3× 8 431
Seunghyun Bang South Korea 14 298 2.4× 48 0.4× 29 0.3× 203 2.1× 65 1.0× 26 749
Michael T. Sturniolo United States 7 172 1.4× 25 0.2× 18 0.2× 139 1.4× 31 0.5× 7 440
Jang-Hee Hahn South Korea 11 274 2.2× 88 0.8× 13 0.1× 114 1.2× 73 1.2× 20 564
Fatemeh Kooshesh Canada 9 182 1.5× 53 0.5× 43 0.4× 128 1.3× 29 0.5× 9 642
Silke Sulyok Germany 8 242 2.0× 34 0.3× 15 0.1× 41 0.4× 36 0.6× 8 496
Eduardo Castañeda-Saucedo Mexico 15 389 3.2× 24 0.2× 34 0.3× 107 1.1× 205 3.3× 27 672
John A. McLane United States 15 270 2.2× 15 0.1× 115 1.1× 201 2.1× 30 0.5× 21 775

Countries citing papers authored by Tomoki Ikuta

Since Specialization
Citations

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

Fields of papers citing papers by Tomoki Ikuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoki Ikuta

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

All Works

18 of 18 papers shown
1.
Tani, Hiroko, et al.. (2025). Pharmacokinetic Profiles of Melinjo Seed Extract Components in Rats. ACS Food Science & Technology. 5(2). 653–658.
2.
Sultana, Halima, Yusuke Ohsaki, Chiu‐Li Yeh, et al.. (2023). Protective Effects of Gnetin C from Melinjo Seed Extract against High-Fat Diet-Induced Hepatic Steatosis and Liver Fibrosis in NAFLD Mice Model. Nutrients. 15(18). 3888–3888. 8 indexed citations
3.
Ikuta, Tomoki, et al.. (2021). Regimen of 5-Fluorouracil and Cisplatin Increases the Incidence of Extravasation in Patients Undergoing Chemotherapy. In Vivo. 35(2). 1147–1150. 2 indexed citations
4.
Mikami, Norihisa, Hiroko Tani, Ryoji Kawakami, et al.. (2021). Brazilian green propolis promotes TNFR2 expression on regulatory T cells. Food Science & Nutrition. 9(6). 3200–3208. 8 indexed citations
5.
Alauddin, Md., Tomoki Ikuta, Hiroko Tani, et al.. (2020). Resveratrol and its Related Polyphenols Contribute to the Maintenance of Genome Stability. Scientific Reports. 10(1). 5388–5388. 31 indexed citations
6.
Kishimoto, Naoki, Tomoki Ikuta, Tomoki Tatefuji, et al.. (2020). 10-Hydroxydecanoic Acid Potentially Elicits Antigen-Specific IgA Responses. Biological and Pharmaceutical Bulletin. 43(8). 1202–1209. 6 indexed citations
7.
Ikuta, Tomoki, Takeshi Miura, & Kazumasa Shinozuka. (2019). Attitude Survey Data on Interaction between Dietary Supplements and Medicines. YAKUGAKU ZASSHI. 139(11). 1463–1470. 1 indexed citations
8.
Okumura, Nobuaki, Toshihiko Toda, Yusuke Ozawa, et al.. (2018). Royal Jelly Delays Motor Functional Impairment During Aging in Genetically Heterogeneous Male Mice. Nutrients. 10(9). 1191–1191. 25 indexed citations
9.
Ikuta, Tomoki, Shinichiro Saito, Hiroko Tani, Tomoki Tatefuji, & Ken Hashimoto. (2015). Resveratrol derivative-rich melinjo (Gnetum gnemon L.) seed extract improves obesity and survival of C57BL/6 mice fed a high-fat diet. Bioscience Biotechnology and Biochemistry. 79(12). 2044–2049. 20 indexed citations
10.
Konno, Hiroyuki, et al.. (2013). Melinjo (Gnetum gnemonL.) Seed Extract Decreases Serum Uric Acid Levels in Nonobese Japanese Males: A Randomized Controlled Study. Evidence-based Complementary and Alternative Medicine. 2013. 1–9. 35 indexed citations
11.
Ikuta, Tomoki, et al.. (2009). Serum Tenascin-X Strongly Binds to Vascular Endothelial Growth Factor. Biological and Pharmaceutical Bulletin. 32(6). 1004–1011. 13 indexed citations
12.
Minamitani, Takeharu, Tomoki Ikuta, Yoshinari Saito, et al.. (2004). Modulation of collagen fibrillogenesis by tenascin-X and type VI collagen. Experimental Cell Research. 298(1). 305–315. 99 indexed citations
13.
Katoh, Toru, Shuhei Mano, Tomoki Ikuta, et al.. (2002). Genetic Isolates in East Asia: A Study of Linkage Disequilibrium in the X Chromosome. The American Journal of Human Genetics. 71(2). 395–400. 38 indexed citations
14.
Ikuta, Tomoki, Hiroyoshi Ariga, & Kenichi Matsumoto. (2001). Effect of Tenascin-X Together with Vascular Endothelial Growth Factor A on Cell Proliferation in Cultured Embryonic Hearts.. Biological and Pharmaceutical Bulletin. 24(11). 1320–1323. 10 indexed citations
15.
Nakamura, Yuko, et al.. (2000). Primary structure, genomic organization and expression of the major secretory protein of murine epididymis, ME1. Gene. 251(1). 55–62. 28 indexed citations
16.
Ikuta, Tomoki, Hiroyoshi Ariga, & Kenichi Matsumoto. (2000). Extracellular matrix tenascin‐X in combination with vascular endothelial growth factor B enhances endothelial cell proliferation. Genes to Cells. 5(11). 913–927. 59 indexed citations
17.
Ikuta, Tomoki, Norio Sogawa, Hiroyoshi Ariga, Toshimichi Ikemura, & Kenichi Matsumoto. (1998). Structural analysis of mouse tenascin-X: evolutionary aspects of reduplication of FNIII repeats in the tenascin gene family. Gene. 217(1-2). 1–13. 51 indexed citations
18.
Honma, Yoshio, et al.. (1988). Inhibition of proliferation and induction of differentiation of human myeloid leukemia cells by novel nucleoside analogs.. PubMed. 8(4). 695–9. 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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