Ikuo Saiki

14.3k total citations
333 papers, 12.1k citations indexed

About

Ikuo Saiki is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ikuo Saiki has authored 333 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Molecular Biology, 104 papers in Oncology and 75 papers in Immunology. Recurrent topics in Ikuo Saiki's work include Cell Adhesion Molecules Research (46 papers), Peptidase Inhibition and Analysis (40 papers) and Natural product bioactivities and synthesis (28 papers). Ikuo Saiki is often cited by papers focused on Cell Adhesion Molecules Research (46 papers), Peptidase Inhibition and Analysis (40 papers) and Natural product bioactivities and synthesis (28 papers). Ikuo Saiki collaborates with scholars based in Japan, Thailand and United States. Ikuo Saiki's co-authors include Hiroaki Sakurai, Keiichi Koizumi, Yoshihiro Hayakawa, Ichiro Azuma, Jun Murata, Yasuhiro Tezuka, Arjun H. Banskota, Shigetoshi Kadota, Hideo Yagita∥ and Satoru Yokoyama and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Immunology.

In The Last Decade

Ikuo Saiki

330 papers receiving 11.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ikuo Saiki Japan 58 5.5k 3.4k 2.6k 1.6k 1.1k 333 12.1k
Kazuo Umezawa Japan 51 5.3k 1.0× 2.1k 0.6× 2.1k 0.8× 2.4k 1.5× 1.1k 1.0× 425 11.0k
Jack L. Arbiser United States 62 5.6k 1.0× 2.3k 0.7× 1.7k 0.7× 1.5k 0.9× 572 0.5× 246 12.6k
Taeg Kyu Kwon South Korea 62 7.3k 1.3× 1.7k 0.5× 1.8k 0.7× 1.7k 1.0× 1.4k 1.3× 398 13.4k
Umberto Dianzani Italy 66 5.9k 1.1× 2.0k 0.6× 3.9k 1.5× 1.1k 0.7× 414 0.4× 462 16.6k
Robert Newton United States 67 4.6k 0.8× 3.0k 0.9× 3.6k 1.4× 2.0k 1.2× 1.5k 1.3× 268 13.3k
Sang‐Bae Han South Korea 57 5.4k 1.0× 1.5k 0.4× 2.6k 1.0× 1.1k 0.7× 2.3k 2.1× 469 13.6k
Carlo Riccardi Italy 61 6.3k 1.2× 3.1k 0.9× 7.9k 3.1× 1.7k 1.0× 598 0.5× 316 17.8k
Wan‐Wan Lin Taiwan 53 5.0k 0.9× 1.7k 0.5× 2.9k 1.1× 1.6k 1.0× 986 0.9× 211 10.7k
Richard D. Ye United States 65 7.2k 1.3× 1.6k 0.5× 4.1k 1.6× 1.4k 0.9× 809 0.7× 245 13.4k
Yuri Lazebnik United States 33 14.7k 2.7× 3.7k 1.1× 3.4k 1.3× 2.2k 1.4× 559 0.5× 53 19.3k

Countries citing papers authored by Ikuo Saiki

Since Specialization
Citations

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

Fields of papers citing papers by Ikuo Saiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuo Saiki

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuo Saiki. A scholar is included among the top collaborators of Ikuo Saiki 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 Ikuo Saiki. Ikuo Saiki 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.
Yamamoto, Seiji, Takashi Hori, Masakiyo Sasahara, et al.. (2018). NK Cells Control Tumor-Promoting Function of Neutrophils in Mice. Cancer Immunology Research. 6(3). 348–357. 47 indexed citations
2.
Yokoyama, Satoru, et al.. (2017). Chemosensitizing Effect of Saikosaponin B on B16F10 Melanoma Cells. Nutrition and Cancer. 69(3). 505–511. 13 indexed citations
3.
Saiki, Ikuo, Keiichi Koizumi, Hirozo Goto, et al.. (2013). The Long-Term Effects of a Kampo Medicine, Juzentaihoto, on Maintenance of Antibody Titer in Elderly People after Influenza Vaccination. Evidence-based Complementary and Alternative Medicine. 2013. 1–8. 15 indexed citations
4.
Lirdprapamongkol, Kriengsak, Hiroaki Sakurai, Sherif Abdelhamed, et al.. (2013). Chrysin overcomes TRAIL resistance of cancer cells through Mcl-1 downregulation by inhibiting STAT3 phosphorylation. International Journal of Oncology. 43(1). 329–337. 63 indexed citations
5.
Oka, Hiroshi, Hirozo Goto, Keiichi Koizumi, et al.. (2011). Cinnamaldehyde and paeonol increase HIF-1α activity in proximal tubular epithelial cells under hypoxia. 28(3). 149–157. 1 indexed citations
6.
Koizumi, Keiichi, et al.. (2010). Methanol extract of Polygonati Rhizoma enhances the tube formation of rat lymphatic endothelial cells. 27(2). 59–65. 2 indexed citations
7.
Koizumi, Keiichi, Yurika Saitoh, T. Minami, et al.. (2009). Role of CX3CL1/Fractalkine in Osteoclast Differentiation and Bone Resorption. The Journal of Immunology. 183(12). 7825–7831. 115 indexed citations
9.
Sakurai, Hiroaki, Min‐Kyung Choo, Atsushi CHINO, et al.. (2006). Antimetastatic and immunostimulatory properties of fermented brown rice. 23(3). 112–116. 3 indexed citations
10.
Awale, Suresh, et al.. (2006). An amazing cow's urine therapy practice in Myanmar. 23(5). 178–183. 3 indexed citations
11.
Awale, Suresh, et al.. (2006). The healing art of traditional medicines in Myanmar. 23(2). 47–68. 13 indexed citations
12.
Matsuo, Mitsuhiro, Tadato Tani, & Ikuo Saiki. (2002). Organ selectivity of Juzen-taiho-to and Ninjin-yoei-to in the expression of anti-metastatic efficacy. 19(3). 93–97. 3 indexed citations
13.
Tatsumi, T., et al.. (2002). Immunopharmacological properties of Oren-gedoku-to (a Kampo medicine, Huang-Lian-Jie-Du-Tang) on contact hypersensitivity reaction in mice. 19(1). 21–27. 2 indexed citations
14.
Hayakawa, Yoshihiro, Kazuyoshi Takeda, Hideo Yagita∥, et al.. (2001). Differential Regulation of Th1 and Th2 Functions of NKT Cells by CD28 and CD40 Costimulatory Pathways. The Journal of Immunology. 166(10). 6012–6018. 166 indexed citations
15.
Murakami, Koji, et al.. (2000). Induction of apoptosis in Lewis lung carcinoma cells by an intestinal bacterial metabolite produced from orally administered ginseng protopanaxadiol saponins.. 17(6). 236–244. 5 indexed citations
16.
Wakabayashi, Chisato, Hideo Hasegawa, Jun Murata, & Ikuo Saiki. (1997). The expression of in vivo anti-metastatic effect of Ginseng protopanaxatriol saponins is mediated by their intestinal bacterial metabolites after oral administration. 14(3). 180–185. 14 indexed citations
17.
Sakamoto, Takashi, Hideki Fujii, Jun Murata, et al.. (1997). Characterization of a Liver Metastatic Variant of Murine Colon 26 Carcinoma Cells. Tumor Biology. 18(2). 113–122. 56 indexed citations
18.
Saiki, Ikuo, et al.. (1994). MDP-Lys(L18), a lipophilic derivative of muramyl dipeptide,inhibits the metastasis of haematogenous and non-haematogenoustumours in mice. 17. 169–174. 3 indexed citations
19.
Saiki, Ikuo, et al.. (1994). Influence of fibroblasts on the invasion and migration of highly or weakly metastatic b16 melanoma cells. International Journal of Cancer. 56(6). 867–873. 24 indexed citations
20.
Saiki, Ikuo, et al.. (1986). Regulatory Effects on Macrophages of Human Recombinant Interferons-α. Journal of Interferon Research. 6(5). 603–611. 10 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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