Masaaki Terada

7.1k total citations
141 papers, 5.9k citations indexed

About

Masaaki Terada is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Masaaki Terada has authored 141 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 36 papers in Oncology and 22 papers in Cancer Research. Recurrent topics in Masaaki Terada's work include Cancer-related gene regulation (17 papers), RNA modifications and cancer (13 papers) and RNA Interference and Gene Delivery (12 papers). Masaaki Terada is often cited by papers focused on Cancer-related gene regulation (17 papers), RNA modifications and cancer (13 papers) and RNA Interference and Gene Delivery (12 papers). Masaaki Terada collaborates with scholars based in Japan, United Kingdom and United States. Masaaki Terada's co-authors include Takashi Sügimura, Hiromi Sakamoto, Teruhiko Yoshida, Takahiro Ochiya, Setsuo Hirohashi, Jun Yokota, Masaru Katoh, Yukío Shimosato, Hiroki Sasaki and Hanako Yamamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Masaaki Terada

140 papers receiving 5.5k citations

Peers

Masaaki Terada
Edward B. Leof United States
Gary D. Shipley United States
Gloria H. Su United States
Adam B. Glick United States
Edward B. Leof United States
Masaaki Terada
Citations per year, relative to Masaaki Terada Masaaki Terada (= 1×) peers Edward B. Leof

Countries citing papers authored by Masaaki Terada

Since Specialization
Citations

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

Fields of papers citing papers by Masaaki Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Terada

This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Terada. A scholar is included among the top collaborators of Masaaki Terada 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 Masaaki Terada. Masaaki Terada 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.
Kosaka, Nobuyoshi, Hiromi Sakamoto, Masaaki Terada, & Takahiro Ochiya. (2008). Pleiotropic function of FGF‐4: Its role in development and stem cells. Developmental Dynamics. 238(2). 265–276. 38 indexed citations
2.
Teratani, Takumi, Hanako Yamamoto, Kazuhiko Aoyagi, et al.. (2005). Direct hepatic fate specification from mouse embryonic stem cells†. Hepatology. 41(4). 836–846. 127 indexed citations
3.
Yamamoto, Hanako, Gary Quinn, Akira Asari, et al.. (2003). Differentiation of Embryonic Stem Cells Into Hepatocytes: Biological Functions and Therapeutic Application. Hepatology. 37(5). 983–993. 162 indexed citations
4.
Mori, Kazuhiko, Kazuhiko Aoyagi, Tetsuya Ueda, et al.. (2003). Highly specific marker genes for detecting minimal gastric cancer cells in cytology negative peritoneal washings. Biochemical and Biophysical Research Communications. 313(4). 931–937. 33 indexed citations
5.
Sasaki, Hideo, Hiromi Sakamoto, Fumitaka Takeshita, et al.. (2003). Antisense oligodeoxynucleotide against HST‐1/FGF‐4 suppresses tumorigenicity of an orthotopic model for human germ cell tumor in nude mice. The Journal of Gene Medicine. 5(11). 951–957. 18 indexed citations
6.
Kamata, Tamihiro, Yutaka Hattori, Hirofumi Hamada, et al.. (2002). Keratinocyte growth factor regulates proliferation and differentiation of hematopoietic cells expressing the receptor gene K-sam. Experimental Hematology. 30(4). 297–305. 9 indexed citations
7.
Ochiya, Takahiro, et al.. (2001). Biomaterials for Gene Delivery Atelocollagen-mediated Controlled Release of Molecular Medicines. Current Gene Therapy. 1(1). 31–52. 111 indexed citations
8.
Suzuki, Toshihiro, Hiroki Sasaki, Yasuaki Tatsumi, et al.. (2000). Detailed structural analysis on both human MRP5 and mouse mrp5 transcripts. Gene. 242(1-2). 167–173. 20 indexed citations
9.
Koike, Jun, Atsushi Takagi, Takeshi Miwa, et al.. (1999). Molecular Cloning of Frizzled-10, a Novel Member of the Frizzled Gene Family. Biochemical and Biophysical Research Communications. 262(1). 39–43. 71 indexed citations
10.
Ueda, Tetsuya, Hiroki Sasaki, Kazuhiko Aoyagi, et al.. (1999). Novel Exons Located More Than 200 kb Downstream of the Previously Described 3′ Exon of the K-sam Gene for Generating Activated Forms of KGF Receptor. Biochemical and Biophysical Research Communications. 265(3). 739–745. 4 indexed citations
11.
Ozaki, Katsutoshi, Teruhiko Yoshida, Hisamitsu Ide, et al.. (1996). Use of von Willebrand Factor Promoter to Transduce Suicidal Gene to Human Endothelial Cells, HUVEC. Human Gene Therapy. 7(13). 1483–1490. 30 indexed citations
12.
Fujii, Takuma, et al.. (1995). Serum Antibody against Unfused Recombinant E7 Protein of Human Papillomavirus Type 16 in Cervical Cancer Patients. Japanese Journal of Cancer Research. 86(1). 28–34. 13 indexed citations
13.
Wakasugi, Hiro, Kotaro Koyama, Masataka Yoshimoto, et al.. (1995). Frequent Development of Murine T‐Cell Lymphomas with TcRα/β+, CD4/8 Phenotype after Implantation of Human Inflammatory Breast Cancer Cells in BALB/c Nude Mice. Japanese Journal of Cancer Research. 86(11). 1086–1096. 13 indexed citations
14.
Fukuda, Haruhiko, Daizo Saito, Hiroyuki Hisai, et al.. (1995). Helicobacter pylori Infection, Serum Pepsinogen Level and Gastric Cancer: A Case‐Control Study in Japan. Japanese Journal of Cancer Research. 86(1). 64–71. 97 indexed citations
15.
Fujimoto, Kiyohide, Yuzo Ichimori, Hisako Yamaguchi, et al.. (1995). Basic Fibroblast Growth Factor as a Candidate Tumor Marker for Renal Cell Carcinoma. Japanese Journal of Cancer Research. 86(2). 182–186. 39 indexed citations
16.
Sasada, Reiko, et al.. (1993). Monoclonal Antibodies Against hst-1 Gene Product. Hybridoma. 12(6). 719–727. 2 indexed citations
17.
Nakatani, Hiroshi, Teruhiko Yoshida, Jun Yokota, et al.. (1990). Isolation of an Amplified DNA Sequence in Stomach Cancer. Japanese Journal of Cancer Research. 81(8). 707–710. 66 indexed citations
18.
Terasaki, Takeo, Yukío Shimosato, M Wada, Jun Yokota, & Masaaki Terada. (1990). Selection of Radioresistant Cells by Vitamin A Deficiency in a Small Cell Lung Cancer Cell Line. Japanese Journal of Cancer Research. 81(8). 780–785. 1 indexed citations
19.
Zhang, Wandong, Setsuo Hirohashi, Hitoshi Tsuda, et al.. (1990). Frequent Loss of Heterozygosity on Chromosomes 16 and 4 in Human Hepatocellular Carcinoma. Japanese Journal of Cancer Research. 81(2). 108–111. 107 indexed citations
20.
Tsunokawa, Y, Hiroyasu Esumi, Masao S. Sasaki, et al.. (1984). Integration of v-rasH does not necessarily transform an immortalized murine cell line.. PubMed. 75(9). 732–6. 5 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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