Junya Iwasaki

553 total citations
8 papers, 455 citations indexed

About

Junya Iwasaki is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Junya Iwasaki has authored 8 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 1 paper in Organic Chemistry. Recurrent topics in Junya Iwasaki's work include MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (2 papers) and Cancer-related molecular mechanisms research (2 papers). Junya Iwasaki is often cited by papers focused on MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (2 papers) and Cancer-related molecular mechanisms research (2 papers). Junya Iwasaki collaborates with scholars based in Japan. Junya Iwasaki's co-authors include Nami Yamada, Minami Kumazaki, Yukihiro Akao, Shunsuke Noguchi, Seiji Naito, Takashi Mori, Kohji Maruo, Haruka Shinohara, Shotaro Naito and Kazuyuki Shimada and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Cancer Letters.

In The Last Decade

Junya Iwasaki

8 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junya Iwasaki Japan	6	361	310	51	29	26	8	455
Chungen Xing China	10	300 0.8×	274 0.9×	65 1.3×	21 0.7×	21 0.8×	30	459
Ali Mahdavinezhad Iran	12	268 0.7×	215 0.7×	55 1.1×	16 0.6×	22 0.8×	33	427
Peipei Nie China	8	277 0.8×	163 0.5×	71 1.4×	23 0.8×	21 0.8×	8	400
Ali Flores‐Pérez Mexico	13	317 0.9×	192 0.6×	84 1.6×	21 0.7×	41 1.6×	14	440
Weiliang Sun China	9	274 0.8×	135 0.4×	64 1.3×	27 0.9×	19 0.7×	14	421
Yiman Liu China	3	306 0.8×	207 0.7×	45 0.9×	17 0.6×	7 0.3×	6	405
Fang‐Wei Hu Taiwan	11	270 0.7×	172 0.6×	184 3.6×	33 1.1×	24 0.9×	12	469
Fengyuan Chen China	11	496 1.4×	312 1.0×	38 0.7×	37 1.3×	9 0.3×	25	606
Caroline O. Facey United States	10	274 0.8×	89 0.3×	74 1.5×	48 1.7×	17 0.7×	19	468

Countries citing papers authored by Junya Iwasaki

Since Specialization

Citations

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

Fields of papers citing papers by Junya Iwasaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Iwasaki

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

All Works

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8 of 8 papers shown

Ichikawa, K., Satoshi Ito, Emi H. Kato, et al.. (2023). TAS0612, a Novel RSK, AKT, and S6K Inhibitor, Exhibits Antitumor Effects in Preclinical Tumor Models. Molecular Cancer Therapeutics. 23(2). 174–186. 4 indexed citations

Iwasaki, Junya, et al.. (2020). Abstract 661: Synergistic antitumor activity of futibatinib, an FGFR1-4 inhibitor, and TAS-117, a selective AKT inhibitor, in FGFR-deregulated cancer models. Cancer Research. 80(16_Supplement). 661–661. 2 indexed citations

Iwasaki, Junya, Fumio Nakagawa, Hideki Nagase, et al.. (2019). Schlafen11 Expression Is Associated With the Antitumor Activity of Trabectedin in Human Sarcoma Cell Lines. Anticancer Research. 39(7). 3553–3563. 18 indexed citations

Kumazaki, Minami, Shunsuke Noguchi, Junya Iwasaki, et al.. (2013). Anti-cancer effects of naturally occurring compounds through modulation of signal transduction and miRNA expression in human colon cancer cells. The Journal of Nutritional Biochemistry. 24(11). 1849–1858. 105 indexed citations

Noguchi, Shunsuke, Nami Yamada, Minami Kumazaki, et al.. (2013). socs7, a target gene of microRNA-145, regulates interferon-β induction through STAT3 nuclear translocation in bladder cancer cells. Cell Death and Disease. 4(2). e482–e482. 57 indexed citations

Noguchi, Shunsuke, Junya Iwasaki, Minami Kumazaki, et al.. (2013). Chemically Modified Synthetic microRNA-205 Inhibits the Growth of Melanoma Cells In Vitro and In Vivo. Molecular Therapy. 21(6). 1204–1211. 49 indexed citations

Noguchi, Shunsuke, Takashi Mori, Nami Yamada, et al.. (2012). Anti-oncogenic MicroRNA-203 Induces Senescence by Targeting E2F3 Protein in Human Melanoma Cells. Journal of Biological Chemistry. 287(15). 11769–11777. 96 indexed citations

Noguchi, Shunsuke, Junya Iwasaki, Minami Kumazaki, et al.. (2012). Replacement treatment with microRNA-143 and -145 induces synergistic inhibition of the growth of human bladder cancer cells by regulating PI3K/Akt and MAPK signaling pathways. Cancer Letters. 328(2). 353–361. 124 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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