Shuntaro Ikawa

5.5k total citations · 2 hit papers
70 papers, 4.8k citations indexed

About

Shuntaro Ikawa is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Shuntaro Ikawa has authored 70 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 28 papers in Oncology and 14 papers in Biotechnology. Recurrent topics in Shuntaro Ikawa's work include Cancer-related Molecular Pathways (23 papers), Cancer Research and Treatments (14 papers) and RNA modifications and cancer (12 papers). Shuntaro Ikawa is often cited by papers focused on Cancer-related Molecular Pathways (23 papers), Cancer Research and Treatments (14 papers) and RNA modifications and cancer (12 papers). Shuntaro Ikawa collaborates with scholars based in Japan, United States and Australia. Shuntaro Ikawa's co-authors include Tadashi Yamamoto, Kentaro Semba, Kumao Toyoshima, Tetsu Akiyama, Nobuo Nomura, Toshiyuki Saito, Nobuyuki Miyajima, Yoji Ikawa, Masuo Obinata and Akira Nakagawara and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Shuntaro Ikawa

69 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Similarity of protein encoded by the human c-erb-B-2 gene to epidermal growth factor receptor

1986 1.1k citations Shuntaro Ikawa, Kentaro Semba et al. profile →
A common polymorphism acts as an intragenic modifier of mutant p53 behaviour

2000 442 citations Shuntaro Ikawa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuntaro Ikawa Japan	30	2.8k	2.4k	726	617	547	70	4.8k
David Wynford‐Thomas United Kingdom	46	3.6k 1.3×	2.6k 1.1×	700 1.0×	449 0.7×	183 0.3×	158	7.0k
William K. Kaufmann United States	44	5.0k 1.8×	2.8k 1.1×	1.6k 2.2×	368 0.6×	211 0.4×	161	7.1k
C.S. Potten United Kingdom	33	2.0k 0.7×	1.5k 0.6×	501 0.7×	221 0.4×	866 1.6×	72	4.8k
Homayoun Vaziri Canada	19	4.0k 1.4×	1.2k 0.5×	405 0.6×	405 0.7×	143 0.3×	25	8.4k
Sam W. Lee United States	48	5.0k 1.8×	2.3k 1.0×	1.1k 1.5×	335 0.5×	265 0.5×	93	7.1k
Juana M. Flores Spain	49	5.4k 1.9×	2.2k 0.9×	1.1k 1.5×	451 0.7×	130 0.2×	114	9.3k
Alexander Zaika United States	34	3.1k 1.1×	2.2k 0.9×	749 1.0×	504 0.8×	79 0.1×	67	4.7k
Izumi Horikawa United States	40	4.1k 1.5×	1.3k 0.5×	1.5k 2.1×	406 0.7×	125 0.2×	78	6.7k
Osamu Tanabe Japan	32	3.0k 1.1×	1.7k 0.7×	791 1.1×	206 0.3×	238 0.4×	130	6.0k
Nelly Auersperg Canada	50	4.5k 1.6×	1.9k 0.8×	1.3k 1.7×	230 0.4×	211 0.4×	195	8.8k

Countries citing papers authored by Shuntaro Ikawa

Since Specialization

Citations

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

Fields of papers citing papers by Shuntaro Ikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuntaro Ikawa

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

All Works

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20 of 20 papers shown

Rashad, Sherif, Kuniyasu Niizuma, Daisuke Saigusa, et al.. (2018). Intracellular S1P Levels Dictate Fate of Different Regions of the Hippocampus following Transient Global Cerebral Ischemia. Neuroscience. 384. 188–202. 15 indexed citations

Rashad, Sherif, Kuniyasu Niizuma, Mika Sato‐Maeda, et al.. (2018). Early BBB breakdown and subacute inflammasome activation and pyroptosis as a result of cerebral venous thrombosis. Brain Research. 1699. 54–68. 55 indexed citations

Sato‐Maeda, Mika, Miki Fujimura, Sherif Rashad, et al.. (2017). Transient Global Cerebral Ischemia Induces RNF213 , a Moyamoya Disease Susceptibility Gene, in Vulnerable Neurons of the Rat Hippocampus CA1 Subregion and Ischemic Cortex. Journal of Stroke and Cerebrovascular Diseases. 26(9). 1904–1911. 12 indexed citations

Amin, Ruhul, Yuiko Morita‐Fujimura, Hiroshi Tawarayama, et al.. (2015). ΔNp63α induces quiescence and downregulates the BRCA1 pathway in estrogen receptor‐positive luminal breast cancer cell line MCF7 but not in other breast cancer cell lines. Molecular Oncology. 10(4). 575–593. 19 indexed citations

Ogawa, Eisaku, et al.. (2015). Notch down-regulation in regenerated epidermis contributes to enhanced expression of interleukin-36α and suppression of keratinocyte differentiation during wound healing. Journal of Dermatological Science. 79(1). 10–19. 15 indexed citations

Udden, S. M. Nashir, Yuiko Morita‐Fujimura, Masanobu Satake, & Shuntaro Ikawa. (2013). c-ABL tyrosine kinase modulates p53-dependent p21 induction and ensuing cell fate decision in response to DNA damage. Cellular Signalling. 26(2). 444–452. 16 indexed citations

Ogawa, Eisaku, Yuji Owada, Shuntaro Ikawa, et al.. (2010). Epidermal FABP (FABP5) Regulates Keratinocyte Differentiation by 13(S)-HODE-Mediated Activation of the NF-κB Signaling Pathway. Journal of Investigative Dermatology. 131(3). 604–612. 77 indexed citations

Ogawa, Eisaku, Ryuhei Okuyama, Masuo Obinata, et al.. (2008). p63/p51-induced Onset of Keratinocyte Differentiation via the c-Jun N-terminal Kinase Pathway Is Counteracted by Keratinocyte Growth Factor. Journal of Biological Chemistry. 283(49). 34241–34249. 32 indexed citations

Ogawa, Eisaku, Ryuhei Okuyama, Shuntaro Ikawa, et al.. (2007). p51/p63 inhibits ultraviolet B-induced apoptosis via Akt activation. Oncogene. 27(6). 848–856. 19 indexed citations

10.

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

11.

Yoshizaki, Fumiko, Shuntaro Ikawa, Masanobu Satake, Nori Satoh, & Masaru Nonaka. (2005). Structure and the evolutionary implication of the triplicated complement factor B genes of a urochordate ascidian, Ciona intestinalis. Immunogenetics. 56(12). 930–942. 33 indexed citations

12.

Ishikawa, Kosuke, Sakura Azuma, Shuntaro Ikawa, et al.. (2003). Cloning and characterization of Xenopus laevis drg2, a member of the developmentally regulated GTP-binding protein subfamily. Gene. 322. 105–112. 19 indexed citations

13.

Katoh, Iyoko, Ken‐ichi Aisaki, Shun‐ichi Kurata, Shuntaro Ikawa, & Yoji Ikawa. (2000). p51A (TAp63γ), a p53 homolog, accumulates in response to DNA damage for cell regulation. Oncogene. 19(27). 3126–3130. 73 indexed citations

14.

Kaida, Atsushi, Yasuo Ariumi, Yoshihide Ueda, et al.. (2000). Functional impairment of p73 and p51, the p53-related proteins, by the human T-cell leukemia virus type 1 Tax oncoprotein. Oncogene. 19(6). 827–830. 32 indexed citations

15.

Sunahara, Masao, Tomotane Shishikura, Masato Takahashi, et al.. (1999). Mutational analysis of p51A/TAp63γ, a p53 homolog, in non-small cell lung cancer and breast cancer. Oncogene. 18(25). 3761–3765. 47 indexed citations

16.

Hossain, Anwar, Shigeru Tsuchiya, Masayoshi Minegishi, et al.. (1998). The Ah Receptor Is Not Involved in 2,3,7,8-Tetrachlorodibenzo-p-dioxin-mediated Apoptosis in Human Leukemic T Cell Lines. Journal of Biological Chemistry. 273(31). 19853–19858. 65 indexed citations

17.

Hossain, Anwar, Haruhisa Kikuchi, Shuntaro Ikawa, Ikuko Sagami, & Mayumi Watanabe. (1995). Identification of Cellular Protein That Can Interact Specifically with the Basic Helix-Loop-Helix Domain of the Aromatic Hydrocarbon Receptor. Biochemical and Biophysical Research Communications. 215(1). 405–411. 3 indexed citations

18.

Kikuchi, Hideaki, et al.. (1994). Aberrant CYP1A1 Induction: Discrepancy of CYP1A1 mRNA and Aryl Hydrocarbon Hydroxylase Activity in Mutant Cells of Mouse Hepatoma Line, Hepa‐1. Japanese Journal of Cancer Research. 85(7). 710–717. 2 indexed citations

19.

Uematsu, Fumiyuki, Shuntaro Ikawa, Hideaki Kikuchi, et al.. (1994). Restriction fragment length polymorphism of the human CYP 2E1 (cytochrome P450IIE1) gene and susceptibility to lung cancer. Pharmacogenetics. 4(2). 58–63. 91 indexed citations

20.

Sagami, Ikuko, et al.. (1994). Characterization of Hamster CYP1A1 Gene: Inducible Expression and Negative Regulation1. The Journal of Biochemistry. 116(4). 801–810. 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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