Futoshi Okada

7.2k total citations
174 papers, 5.9k citations indexed

About

Futoshi Okada is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Futoshi Okada has authored 174 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 38 papers in Oncology and 37 papers in Cancer Research. Recurrent topics in Futoshi Okada's work include Cancer, Hypoxia, and Metabolism (16 papers), Cancer Research and Treatments (14 papers) and Cancer Cells and Metastasis (12 papers). Futoshi Okada is often cited by papers focused on Cancer, Hypoxia, and Metabolism (16 papers), Cancer Research and Treatments (14 papers) and Cancer Cells and Metastasis (12 papers). Futoshi Okada collaborates with scholars based in Japan, United States and United Kingdom. Futoshi Okada's co-authors include Mitsuhiko Osaki, Junichi Fujii, Yoshihito Iuchi, Masuo Hosokawa, Masanobu Kobayashi, Kunishige Onuma, Hiroshi Kobayashi, Junichi Hamada, Mitsunori Kaya and Fumihiro Higashino and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Futoshi Okada

167 papers receiving 5.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Futoshi Okada 2.9k 1.3k 1.2k 722 697 174 5.9k
Aurora Astudillo 2.6k 0.9× 1.3k 1.0× 1.4k 1.2× 623 0.9× 948 1.4× 171 5.9k
Hiroyuki Nakamura 2.4k 0.8× 1.9k 1.4× 1.4k 1.2× 521 0.7× 586 0.8× 165 6.3k
Daniel F. Alonso 2.5k 0.8× 1.5k 1.1× 1.2k 1.0× 822 1.1× 469 0.7× 154 5.0k
Yanru Wang 4.0k 1.4× 1.2k 0.9× 1.4k 1.2× 864 1.2× 704 1.0× 226 6.7k
Gaoliang Ouyang 3.3k 1.1× 1.6k 1.2× 1.6k 1.4× 607 0.8× 441 0.6× 51 5.8k
Seyed H. Ghaffari 3.7k 1.3× 1.6k 1.2× 872 0.8× 1.0k 1.4× 536 0.8× 205 6.5k
Lin Ye 3.0k 1.0× 991 0.7× 1.3k 1.1× 447 0.6× 564 0.8× 261 5.1k
Hee Jung Kim 2.0k 0.7× 1.3k 1.0× 953 0.8× 500 0.7× 383 0.5× 165 4.7k
M. Zabel 2.9k 1.0× 1.1k 0.8× 1.8k 1.5× 516 0.7× 558 0.8× 427 6.7k
Jian Liu 3.4k 1.2× 1.5k 1.1× 1.3k 1.1× 1.4k 1.9× 946 1.4× 307 6.9k

Countries citing papers authored by Futoshi Okada

Since Specialization
Citations

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

Fields of papers citing papers by Futoshi Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Futoshi Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Futoshi Okada. A scholar is included among the top collaborators of Futoshi Okada 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 Futoshi Okada. Futoshi Okada 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
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Hamada, Junichi, et al.. (2024). Prevention of liver metastasis via the pharmacological suppression of AMIGO2 expression in tumor cells. Scientific Reports. 14(1). 28183–28183.
3.
Iida, Yuki, Mitsuhiko Osaki, Shinya Sato, et al.. (2023). AMIGO2 expression as a predictor of recurrence in cervical cancer with intermediate risk. Molecular and Clinical Oncology. 19(1). 56–56. 6 indexed citations
4.
Kimura, Yusuke, Masashi Honda, Ryo Sasaki, et al.. (2019). The circadian rhythm of bladder clock genes in the spontaneously hypersensitive rat. PLoS ONE. 14(7). e0220381–e0220381. 13 indexed citations
5.
Osaki, Mitsuhiko, Kunishige Onuma, Hideki Iwamoto, et al.. (2017). Identification of MicroRNAs Involved in Resistance to Sunitinib in Renal Cell Carcinoma Cells. Anticancer Research. 37(6). 2985–2992. 43 indexed citations
6.
Kobayashi, Sho, Mami Sato, Masahiro Sugimoto, et al.. (2015). Cystathionine Is a Novel Substrate of Cystine/Glutamate Transporter. Journal of Biological Chemistry. 290(14). 8778–8788. 73 indexed citations
7.
Iwamoto, Hideki, Yusuke Kanda, Takehiro Sejima, et al.. (2013). Serum miR-210 as a potential biomarker of early clear cell renal cell carcinoma. International Journal of Oncology. 44(1). 53–58. 97 indexed citations
8.
Onuma, Kunishige, Yu Sato, Saori Suzuki, et al.. (2011). Development of a quantitative bioassay to assess preventive compounds against inflammation-based carcinogenesis. Nitric Oxide. 25(2). 183–194. 12 indexed citations
9.
Hirokawa, Naoki, Kazumitsu Koito, Futoshi Okada, et al.. (2009). High-intensity focused ultrasound induced apoptosis with caspase 3, 8, and 9/6 activation in rat hepatoma. Journal of Medical Ultrasonics. 36(4). 177–185. 8 indexed citations
10.
Hirai, Atsuko, Mitsuhiro Tada, Keiji Furuuchi, et al.. (2004). Expression of AIE-75 PDZ-domain protein induces G2/M cell cycle arrest in human colorectal adenocarcinoma SW480 cells. Cancer Letters. 211(2). 209–218. 9 indexed citations
11.
Kobayashi, Tokushige, Futoshi Okada, Nobuyuki Fujii, et al.. (2002). Thymosin-β4 Regulates Motility and Metastasis of Malignant Mouse Fibrosarcoma Cells. American Journal Of Pathology. 160(3). 869–882. 109 indexed citations
12.
Andrews, Paul, Futoshi Okada, Anthony Woods, et al.. (2000). The emetic and anti‐emetic effects of the capsaicin analogue resiniferatoxin in Suncus murinus, the house musk shrew. British Journal of Pharmacology. 130(6). 1247–1254. 64 indexed citations
13.
Fujii, Hideki, Takaaki Mishima, Jun Murata, et al.. (1996). Inhibitory Effect of a Traditional Chinese Medicine, Juzen‐taiho‐to, on Progressive Growth of Weakly Malignant Clone Cells Derived from Murine Fibrosarcoma. Japanese Journal of Cancer Research. 87(10). 1039–1044. 24 indexed citations
14.
Kobayashi, Masanobu, et al.. (1995). A Possible Role of 92 kDa Type IV Collagenase in the Extramedullary Tumor Formation in Leukemia. Japanese Journal of Cancer Research. 86(3). 298–303. 16 indexed citations
15.
Okada, Futoshi, Satoru Hosokawa, Takeshi Kawaguchi, et al.. (1995). Effects of repeated doses of compound E for 4 and 9 weeks on the male reproductive organs.. The Journal of Toxicological Sciences. 20(3). 217–227. 4 indexed citations
16.
Okada, Futoshi, et al.. (1993). Progression of a Weakly Tumorigenic Mouse Fibrosarcoma at the Site of Early Phase of Inflammation Caused by Plastic Plates. Japanese Journal of Cancer Research. 84(12). 1230–1236. 10 indexed citations
17.
Okada, Futoshi, Timothy J. Crow, & G.W. Roberts. (1991). G proteins (Gi, Go) in the medial temporal lobe in schizophrenia: preliminary report of a neurochemical correlate of structural change. Journal of Neural Transmission. 84(1-2). 147–153. 26 indexed citations
18.
Ren, Jin, Junichi Hamada, Futoshi Okada, et al.. (1990). Correlation between the Presence of Microvilli and the Growth or Metastatic Potential of Tumor Cells. Japanese Journal of Cancer Research. 81(9). 920–926. 30 indexed citations
19.
20.
Hata, Shun-ichi, Futoshi Okada, Miyuki Honma, & M Ui. (1980). Plasma cyclic 3′,5′-guanosine monophosphate and cyclic 3′,5′-adenosine monophosphate response to methacholine in man. Cellular and Molecular Life Sciences. 36(9). 1127–1128. 2 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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