Teppei Morita

2.4k total citations
30 papers, 1.9k citations indexed

About

Teppei Morita is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Teppei Morita has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Genetics and 16 papers in Ecology. Recurrent topics in Teppei Morita's work include RNA and protein synthesis mechanisms (22 papers), Bacterial Genetics and Biotechnology (19 papers) and Bacteriophages and microbial interactions (15 papers). Teppei Morita is often cited by papers focused on RNA and protein synthesis mechanisms (22 papers), Bacterial Genetics and Biotechnology (19 papers) and Bacteriophages and microbial interactions (15 papers). Teppei Morita collaborates with scholars based in Japan, United States and Germany. Teppei Morita's co-authors include Hiroji Aiba, Hiroshi Kawamoto, Toshifumi Inada, H Ishikawa, Yoshiki Ikeda, Yuya Tanaka, Ayumi Shimizu, Susan Gottesman, Jiandong Chen and Xia Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Teppei Morita

29 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teppei Morita Japan 19 1.5k 1.2k 723 143 128 30 1.9k
James A. Sawitzke United States 16 1.4k 0.9× 1.1k 0.9× 470 0.7× 176 1.2× 53 0.4× 20 1.8k
Heath Murray United Kingdom 24 1.4k 0.9× 1.2k 0.9× 557 0.8× 174 1.2× 87 0.7× 38 1.8k
Andrea Muffler Germany 11 1.0k 0.7× 877 0.7× 406 0.6× 178 1.2× 166 1.3× 11 1.4k
Jeanette Hahn United States 11 734 0.5× 694 0.6× 410 0.6× 83 0.6× 98 0.8× 13 946
Melanie B. Berkmen United States 14 825 0.5× 697 0.6× 330 0.5× 85 0.6× 62 0.5× 23 1.1k
Shogo Ozaki Japan 16 1.1k 0.7× 950 0.8× 210 0.3× 150 1.0× 87 0.7× 33 1.3k
Erik Holmqvist Sweden 16 1.4k 0.9× 940 0.8× 573 0.8× 208 1.5× 25 0.2× 28 1.6k
Alicia J. Dombroski United States 13 1.3k 0.9× 978 0.8× 508 0.7× 58 0.4× 81 0.6× 22 1.5k
Gregory T. Marczynski Canada 23 1.6k 1.0× 1.4k 1.1× 595 0.8× 231 1.6× 58 0.5× 38 2.0k
Ashley K. Tehranchi United States 10 899 0.6× 640 0.5× 217 0.3× 49 0.3× 109 0.9× 10 1.1k

Countries citing papers authored by Teppei Morita

Since Specialization
Citations

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

Fields of papers citing papers by Teppei Morita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teppei Morita

This figure shows the co-authorship network connecting the top 25 collaborators of Teppei Morita. A scholar is included among the top collaborators of Teppei Morita 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 Teppei Morita. Teppei Morita 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.
Morita, Teppei, Takeshi Masuda, Shojiro Kitajima, et al.. (2025). SLFN11-mediated tRNA regulation induces cell death by disrupting proteostasis in response to DNA-damaging agents. Nucleic Acids Research. 53(15).
2.
Morita, Teppei, et al.. (2023). Complete genome sequence of Limnobacter thiooxidans CS-K2 T , isolated from freshwater lake sediments in Bavaria, Germany. Microbiology Resource Announcements. 13(1). e0099223–e0099223. 2 indexed citations
3.
Miyakoshi, Masatoshi, Teppei Morita, Hiroki Takahashi, et al.. (2022). Glutamine synthetase mRNA releases sRNA from its 3′UTR to regulate carbon/nitrogen metabolic balance in Enterobacteriaceae. eLife. 11. 10 indexed citations
4.
Chen, Jiandong, Teppei Morita, & Susan Gottesman. (2019). Regulation of Transcription Termination of Small RNAs and by Small RNAs: Molecular Mechanisms and Biological Functions. Frontiers in Cellular and Infection Microbiology. 9. 201–201. 52 indexed citations
5.
Morita, Teppei & Hiroji Aiba. (2018). Mechanism and physiological significance of autoregulation of the Escherichia coli hfq gene. RNA. 25(2). 264–276. 19 indexed citations
6.
Ikuse, Daisuke, Masayuki Tani, Takashi Itahashi, et al.. (2017). The effect of visual cues on performance in the ultimatum game in individuals with autism spectrum disorder. Psychiatry Research. 259. 176–183. 14 indexed citations
7.
Morita, Teppei, Ryo Nishino, & Hiroji Aiba. (2017). Role of the terminator hairpin in the biogenesis of functional Hfq-binding sRNAs. RNA. 23(9). 1419–1431. 19 indexed citations
8.
9.
10.
Morita, Teppei, et al.. (2012). Detection of sRNA–mRNA Interactions by Electrophoretic Mobility Shift Assay. Methods in molecular biology. 905. 235–244. 16 indexed citations
11.
Irieda, Hiroki, et al.. (2012). Photo-induced Regulation of the Chromatic Adaptive Gene Expression by Anabaena Sensory Rhodopsin. Journal of Biological Chemistry. 287(39). 32485–32493. 39 indexed citations
12.
Ikeda, Yoshiki, et al.. (2010). Hfq binding at RhlB‐recognition region of RNase E is crucial for the rapid degradation of target mRNAs mediated by sRNAs in Escherichia coli. Molecular Microbiology. 79(2). 419–432. 102 indexed citations
13.
Morita, Teppei, et al.. (2010). A minimal base-pairing region of a bacterial small RNA SgrS required for translational repression of ptsG mRNA. Molecular Microbiology. 76(3). 782–792. 50 indexed citations
14.
Sasaki, Narie, Makoto Hirai, Ryoko Yui, et al.. (2009). The Plasmodium HU homolog, which binds the plastid DNA sequence‐independent manner, is essential for the parasite's survival. FEBS Letters. 583(9). 1446–1450. 12 indexed citations
15.
Morita, Teppei, et al.. (2008). Chapter 18 Analyses of mRNA Destabilization and Translational Inhibition Mediated by Hfq‐Binding Small RNAs. Methods in enzymology on CD-ROM/Methods in enzymology. 447. 359–378. 10 indexed citations
16.
Kawamoto, Hiroshi, et al.. (2006). Base‐pairing requirement for RNA silencing by a bacterial small RNA and acceleration of duplex formation by Hfq. Molecular Microbiology. 61(4). 1013–1022. 197 indexed citations
17.
Kawamoto, Hiroshi, Teppei Morita, Ayumi Shimizu, Toshifumi Inada, & Hiroji Aiba. (2005). Implication of membrane localization of target mRNA in the action of a small RNA: mechanism of post-transcriptional regulation of glucose transporter in Escherichia coli. Genes & Development. 19(3). 328–338. 105 indexed citations
18.
Morita, Teppei, et al.. (2005). RNase E-based ribonucleoprotein complexes: mechanical basis of mRNA destabilization mediated by bacterial noncoding RNAs. Genes & Development. 19(18). 2176–2186. 374 indexed citations
19.
Morita, Teppei, et al.. (2003). Accumulation of Glucose 6-Phosphate or Fructose 6-Phosphate Is Responsible for Destabilization of Glucose Transporter mRNA inEscherichia coli. Journal of Biological Chemistry. 278(18). 15608–15614. 120 indexed citations
20.

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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