Hideki Terajima

684 total citations
8 papers, 498 citations indexed

About

Hideki Terajima is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hideki Terajima has authored 8 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Endocrine and Autonomic Systems and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Hideki Terajima's work include RNA regulation and disease (4 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Hideki Terajima is often cited by papers focused on RNA regulation and disease (4 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Hideki Terajima collaborates with scholars based in Japan, United States and Taiwan. Hideki Terajima's co-authors include Yoshitaka Fukada, Hikari Yoshitane, Yutaka Suzuki, Wataru Iwasaki, Haruka Ozaki, Shigeki Shimba, Linda Zhang, Chuan He, Tsutomu Suzuki and Hitomi Kawabata and has published in prestigious journals such as Nature Genetics, Molecular Cell and Molecular and Cellular Biology.

In The Last Decade

Hideki Terajima

8 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Terajima Japan 8 383 115 102 51 48 8 498
Xiaoming Yang United States 6 150 0.4× 24 0.2× 60 0.6× 22 0.4× 34 0.7× 10 302
Emanuela Dylgjeri United States 6 140 0.4× 56 0.5× 58 0.6× 22 0.4× 25 0.5× 6 253
Renuka Natarajan Finland 5 281 0.7× 20 0.2× 34 0.3× 23 0.5× 12 0.3× 6 383
Kalliope E. Sekeri‐Pataryas Greece 11 240 0.6× 23 0.2× 24 0.2× 31 0.6× 66 1.4× 30 359
Xiongwen Cao United States 10 368 1.0× 14 0.1× 20 0.2× 13 0.3× 45 0.9× 14 430
Pedro Rebelo‐Guiomar United Kingdom 12 907 2.4× 83 0.7× 7 0.1× 12 0.2× 29 0.6× 16 963
Chang Rok Kim South Korea 6 183 0.5× 22 0.2× 36 0.4× 23 0.5× 19 0.4× 9 248
Francesca Corlazzoli United States 8 109 0.3× 38 0.3× 62 0.6× 20 0.4× 38 0.8× 9 190
Shaun Cordes United States 7 245 0.6× 18 0.2× 46 0.5× 18 0.4× 33 0.7× 7 379
Lingfei Sun China 8 232 0.6× 16 0.1× 10 0.1× 16 0.3× 36 0.8× 8 413

Countries citing papers authored by Hideki Terajima

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Terajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Terajima

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

All Works

8 of 8 papers shown
1.
Terajima, Hideki, Mijia Lu, Linda Zhang, et al.. (2021). N6-methyladenosine promotes induction of ADAR1-mediated A-to-I RNA editing to suppress aberrant antiviral innate immune responses. PLoS Biology. 19(7). e3001292–e3001292. 26 indexed citations
2.
Ogino, Takashi, Naoya Matsunaga, Takahiro Tanaka, et al.. (2021). Post-transcriptional repression of circadian component CLOCK regulates cancer-stemness in murine breast cancer cells. eLife. 10. 20 indexed citations
3.
Sun, Hui‐Lung, Allen Zhu, Yawei Gao, et al.. (2020). Stabilization of ERK-Phosphorylated METTL3 by USP5 Increases m6A Methylation. Molecular Cell. 80(4). 633–647.e7. 143 indexed citations
4.
Terajima, Hideki, Hikari Yoshitane, T. Yoshikawa, Yasufumi Shigeyoshi, & Yoshitaka Fukada. (2018). A-to-I RNA editing enzyme ADAR2 regulates light-induced circadian phase-shift. Scientific Reports. 8(1). 14848–14848. 14 indexed citations
5.
Terajima, Hideki, Hikari Yoshitane, Haruka Ozaki, et al.. (2016). ADARB1 catalyzes circadian A-to-I editing and regulates RNA rhythm. Nature Genetics. 49(1). 146–151. 72 indexed citations
6.
Sakurai, Masayuki, Hiroki Ueda, Takanori Yano, et al.. (2014). A biochemical landscape of A-to-I RNA editing in the human brain transcriptome. Genome Research. 24(3). 522–534. 115 indexed citations
7.
Yoshitane, Hikari, Haruka Ozaki, Hideki Terajima, et al.. (2014). CLOCK-Controlled Polyphonic Regulation of Circadian Rhythms through Canonical and Noncanonical E-Boxes. Molecular and Cellular Biology. 34(10). 1776–1787. 94 indexed citations
8.
Tsuji, Toshikazu, Shigeko Kawai‐Noma, Chan‐Gi Pack, et al.. (2011). Single-particle tracking of quantum dot-conjugated prion proteins inside yeast cells. Biochemical and Biophysical Research Communications. 405(4). 638–643. 14 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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