Takeru Oyama

1.2k total citations
51 papers, 921 citations indexed

About

Takeru Oyama is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Takeru Oyama has authored 51 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Takeru Oyama's work include Cancer-related gene regulation (9 papers), Breast Cancer Treatment Studies (5 papers) and RNA modifications and cancer (4 papers). Takeru Oyama is often cited by papers focused on Cancer-related gene regulation (9 papers), Breast Cancer Treatment Studies (5 papers) and RNA modifications and cancer (4 papers). Takeru Oyama collaborates with scholars based in Japan, United States and China. Takeru Oyama's co-authors include Yumiko Yasui, Takuji Tanaka, Takuji Tanaka, Akira Hara, Akira Murakami, Akishi Ooi, Yasuhiro Yamada, Shingo Miyamoto, Mi-Hye Kim and Hiroko Ikeda and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Takeru Oyama

48 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takeru Oyama Japan 18 444 165 150 134 132 51 921
Song-Kyu Park South Korea 18 431 1.0× 187 1.1× 137 0.9× 98 0.7× 97 0.7× 30 1.0k
Debra L. Bemis United States 13 557 1.3× 189 1.1× 165 1.1× 53 0.4× 180 1.4× 21 1.0k
Weiwei Tao China 20 555 1.3× 136 0.8× 144 1.0× 85 0.6× 52 0.4× 37 1.1k
Qiang Tang China 17 585 1.3× 195 1.2× 229 1.5× 96 0.7× 112 0.8× 44 1.1k
Xiong-Zhi Wu China 20 527 1.2× 250 1.5× 150 1.0× 118 0.9× 94 0.7× 57 1.1k
Xiangyang Yao China 13 504 1.1× 102 0.6× 140 0.9× 87 0.6× 69 0.5× 24 958
Shao‐Chih Chiu Taiwan 24 684 1.5× 264 1.6× 230 1.5× 68 0.5× 94 0.7× 60 1.5k
Qiao Yang China 19 484 1.1× 136 0.8× 131 0.9× 69 0.5× 174 1.3× 48 1.1k

Countries citing papers authored by Takeru Oyama

Since Specialization
Citations

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

Fields of papers citing papers by Takeru Oyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeru Oyama

This figure shows the co-authorship network connecting the top 25 collaborators of Takeru Oyama. A scholar is included among the top collaborators of Takeru Oyama 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 Takeru Oyama. Takeru Oyama 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.
Oyama, Takeru, Toshiyuki Yamamoto, Ritsuko Nakamura, et al.. (2024). VEGFA locus amplification potentially predicts a favorable prognosis in gastric adenocarcinoma. Pathology - Research and Practice. 260. 155441–155441.
2.
Han, Jia, Takeru Oyama, Emi Morioka, et al.. (2024). Periarterial or perivenous invasion is an independent indicator of lymph node metastasis in invasive breast carcinoma of no special type. Pathology - Research and Practice. 260. 155407–155407. 1 indexed citations
3.
4.
5.
Nagano, Hideki, et al.. (2019). SMARCB1- and vimentin-positive esophageal carcinoma with undifferentiated components, rhabdoid features, and a good prognosis: a case report. SHILAP Revista de lepidopterología. 5(1). 8–8. 4 indexed citations
6.
Ooi, Akishi, Masafumi Inokuchi, Hiroko Kawashima, et al.. (2018). Amplicons in breast cancers analyzed by multiplex ligation-dependent probe amplification and fluorescence in situ hybridization. Human Pathology. 85. 33–43. 14 indexed citations
7.
Shimakami, Tetsuro, Naoto Nagata, Hikari Okada, et al.. (2017). Peretinoin, an acyclic retinoid, inhibits hepatocarcinogenesis by suppressing sphingosine kinase 1 expression in vitro and in vivo. Scientific Reports. 7(1). 16978–16978. 29 indexed citations
8.
Ooi, Akishi, Takeru Oyama, Ritsuko Nakamura, et al.. (2016). Gene amplification of CCNE1 , CCND1 , and CDK6 in gastric cancers detected by multiplex ligation-dependent probe amplification and fluorescence in situ hybridization. Human Pathology. 61. 58–67. 21 indexed citations
9.
Ito, Tomoko, Satoru Ozaki, Yuki Mizutani, et al.. (2016). Activation of ERK/IER3/PP2A-B56γ-positive feedback loop in lung adenocarcinoma by allelic deletion of B56γ gene. Oncology Reports. 35(5). 2635–2642. 9 indexed citations
10.
Ooi, Akishi, Takeru Oyama, Ritsuko Nakamura, et al.. (2015). Semi-comprehensive analysis of gene amplification in gastric cancers using multiplex ligation-dependent probe amplification and fluorescence in situ hybridization. Modern Pathology. 28(6). 861–871. 17 indexed citations
11.
Tajiri, Ryosuke, Masafumi Inokuchi, Seiko Sawada‐Kitamura, et al.. (2014). Clonal profiling of mixed lobular and ductal carcinoma revealed by multiplex ligation‐dependent probe amplification and fluorescence in situ hybridization. Pathology International. 64(5). 231–236. 2 indexed citations
12.
Ozaki, Satoru, Ei Kawahara, Nguyễn Hoàng Việt, et al.. (2014). Distinct allelic expression patterns of imprinted IGF2 in adenocarcinoma and squamous cell carcinoma of the lung. Oncology Letters. 8(6). 2561–2564. 3 indexed citations
13.
Tomita, Hiroyuki, Akihiro Hirata, Yasuhiro Yamada, et al.. (2010). Suppressive effect of global DNA hypomethylation on gastric carcinogenesis. Carcinogenesis. 31(9). 1627–1633. 14 indexed citations
14.
Oyama, Takeru, Yumiko Yasui, Shigeyuki Sugie, et al.. (2009). Dietary Tricin Suppresses Inflammation-Related Colon Carcinogenesis in Male Crj: CD-1 Mice. Cancer Prevention Research. 2(12). 1031–1038. 60 indexed citations
15.
Tanaka, Takuji, Yumiko Yasui, Mayu Tanaka, et al.. (2008). Melatonin suppresses AOM/DSS-induced large bowel oncogenesis in rats. Chemico-Biological Interactions. 177(2). 128–136. 50 indexed citations
16.
Tanaka, Takuji, et al.. (2008). Citrus Compounds Inhibit Inflammation- and Obesity-Related Colon Carcinogenesis in Mice. Nutrition and Cancer. 60(sup1). 70–80. 46 indexed citations
17.
Oyama, Takeru, Yasuhiro Yamada, Kazuya Hata, et al.. (2008). Further upregulation of β-catenin/Tcf transcription is involved in the development of macroscopic tumors in the colon of ApcMin/+ mice. Carcinogenesis. 29(3). 666–672. 25 indexed citations
18.
Tomita, Hiroyuki, Yasuhiro Yamada, Takeru Oyama, et al.. (2007). Development of Gastric Tumors in Apc Min/+ Mice by the Activation of the β-Catenin/Tcf Signaling Pathway. Cancer Research. 67(9). 4079–4087. 73 indexed citations
19.
Hara, Akira, Masayuki Niwa, Hitomi Aoki, et al.. (2006). A new model of retinal photoreceptor cell degeneration induced by a chemical hypoxia-mimicking agent, cobalt chloride. Brain Research. 1109(1). 192–200. 44 indexed citations
20.
Hara, Akira, Masayuki Niwa, Hitomi Aoki, et al.. (2006). Intraocular injection of folate antagonist methotrexate induces neuronal differentiation of embryonic stem cells transplanted in the adult mouse retina. Brain Research. 1085(1). 33–42. 13 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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