Atsushi Kaneda

9.3k total citations
129 papers, 4.8k citations indexed

About

Atsushi Kaneda is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Atsushi Kaneda has authored 129 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 37 papers in Oncology and 26 papers in Cancer Research. Recurrent topics in Atsushi Kaneda's work include Epigenetics and DNA Methylation (62 papers), RNA modifications and cancer (28 papers) and Cancer-related gene regulation (26 papers). Atsushi Kaneda is often cited by papers focused on Epigenetics and DNA Methylation (62 papers), RNA modifications and cancer (28 papers) and Cancer-related gene regulation (26 papers). Atsushi Kaneda collaborates with scholars based in Japan, United States and Singapore. Atsushi Kaneda's co-authors include Toshikazu Ushijima, Takashi Sügimura, Hiroyuki Aburatani, Keisuke Matsusaka, Masashi Fukayama, Michio Kaminishi, Andrew P. Feinberg, Koichi Yagi, Tetsuya Tsukamoto and Masae Tatematsu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Atsushi Kaneda

126 papers receiving 4.8k citations

Peers

Atsushi Kaneda
Atsushi Kaneda
Citations per year, relative to Atsushi Kaneda Atsushi Kaneda (= 1×) peers Reo Maruyama

Countries citing papers authored by Atsushi Kaneda

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Kaneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Kaneda

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Kaneda. A scholar is included among the top collaborators of Atsushi Kaneda 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 Atsushi Kaneda. Atsushi Kaneda 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.
Fukuyo, Masaki, Noriko Takahashi, Katsuhiro Hanada, et al.. (2025). Helicobacter pylori base-excision restriction enzyme in stomach carcinogenesis. PNAS Nexus. 4(8). pgaf244–pgaf244.
2.
Okabe, Atsushi, Bahityar Rahmutulla, Masaki Fukuyo, et al.. (2024). Chromatin activation with H3K36me2 and compartment shift in metastatic castration-resistant prostate cancer. Cancer Letters. 588. 216815–216815. 5 indexed citations
3.
Kumagai, T., Arifumi Iwata, Atsushi Okabe, et al.. (2024). A distal enhancer of GATA3 regulates Th2 differentiation and allergic inflammation. Proceedings of the National Academy of Sciences. 121(27). e2320727121–e2320727121. 6 indexed citations
4.
Kondo, Satoru, Kousho Wakae, Eiji Kobayashi, et al.. (2024). Phosphoribosyl pyrophosphate amidotransferase: Novel biomarker and therapeutic target for nasopharyngeal carcinoma. Cancer Science. 115(11). 3587–3595. 3 indexed citations
5.
Hoshino, Tyuji, Atsushi Okabe, Masaki Fukuyo, et al.. (2023). The Link of mRNA and rRNA Transcription by PUF60/FIR through TFIIH/P62 as a Novel Therapeutic Target for Cancer. International Journal of Molecular Sciences. 24(24). 17341–17341. 1 indexed citations
6.
Matsusaka, Keisuke, Masaya Nakajima, Yasunobu Mano, et al.. (2022). Anti-proliferating and apoptosis-inducing activity of chemical compound FTI-6D in association with p53 in human cancer cell lines. Chemico-Biological Interactions. 369. 110257–110257. 2 indexed citations
7.
Li, Wenzhe, Atsushi Okabe, Genki Usui, et al.. (2021). Activation of EHF via STAT3 phosphorylation by LMP2A in Epstein‐Barr virus–positive gastric cancer. Cancer Science. 112(8). 3349–3362. 20 indexed citations
8.
Sakamoto, Shinichi, Masahiro Sugiura, Yasutaka Yamada, et al.. (2021). Functional analysis of LAT3 in prostate cancer: Its downstream target and relationship with androgen receptor. Cancer Science. 112(9). 3871–3883. 19 indexed citations
9.
Kitamoto, Takumi, Taiyi Kuo, Atsushi Okabe, Atsushi Kaneda, & Domenico Accili. (2021). An integrative transcriptional logic model of hepatic insulin resistance. Proceedings of the National Academy of Sciences. 118(45). 11 indexed citations
10.
Liu, Lin, Hiroyuki Koike, T. Ono, et al.. (2021). Identification of a KLF5-dependent program and drug development for skeletal muscle atrophy. Proceedings of the National Academy of Sciences. 118(35). 30 indexed citations
11.
Kitamura, K, Tyuji Hoshino, Mamoru Satoh, et al.. (2020). Post-transcriptional regulation of BRG1 by FIRΔexon2 in gastric cancer. Oncogenesis. 9(2). 26–26. 12 indexed citations
12.
Fukayama, Masashi, Hiroyuki Abé, Akiko Kunita, et al.. (2019). Thirty years of Epstein-Barr virus-associated gastric carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 476(3). 353–365. 38 indexed citations
13.
Shinohara, Ken‐ichi, Takayoshi Watanabe, Masaki Fukuyo, et al.. (2016). Inhibition of DNA Methylation at the MLH1 Promoter Region Using Pyrrole–Imidazole Polyamide. ACS Omega. 1(6). 1164–1172. 6 indexed citations
14.
Matsusaka, Keisuke, Atsushi Kaneda, Genta Nagae, et al.. (2011). Classification of Epstein–Barr Virus–Positive Gastric Cancers by Definition of DNA Methylation Epigenotypes. Cancer Research. 71(23). 7187–7197. 183 indexed citations
15.
Yagi, Koichi, Kiwamu Akagi, Hiroshi Hayashi, et al.. (2009). Three DNA Methylation Epigenotypes in Human Colorectal Cancer. Clinical Cancer Research. 16(1). 21–33. 191 indexed citations
16.
Kaneda, Atsushi, Raymond Cheong, Winston Timp, et al.. (2007). Enhanced sensitivity to IGF-II signaling links loss of imprinting of IGF2 to increased cell proliferation and tumor risk. Proceedings of the National Academy of Sciences. 104(52). 20926–20931. 86 indexed citations
17.
Maekita, Takao, Kazuyuki Nakazawa, Takeshi Nakajima, et al.. (2006). High Levels of Aberrant DNA Methylation in Helicobacter pylori –Infected Gastric Mucosae and its Possible Association with Gastric Cancer Risk. Clinical Cancer Research. 12(3). 989–995. 495 indexed citations
18.
Abe, Masanobu, Miki Ohira, Atsushi Kaneda, et al.. (2005). CpG Island Methylator Phenotype Is a Strong Determinant of Poor Prognosis in Neuroblastomas. Cancer Research. 65(3). 828–834. 164 indexed citations
19.
Kaneda, Atsushi, Kuniko Wakazono, Tetsuya Tsukamoto, et al.. (2004). Lysyl Oxidase Is a Tumor Suppressor Gene Inactivated by Methylation and Loss of Heterozygosity in Human Gastric Cancers. Cancer Research. 64(18). 6410–6415. 137 indexed citations
20.
Mimura, Toshiki, H. Yamaguchi, Nobuyuki Shimizu, et al.. (1997). Intermittent Sequential Pneumatic Compression as a Prophylaxis for Postoperative Pulmonary Embolism.. The Japanese Journal of Gastroenterological Surgery. 30(5). 1023–1027. 3 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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