Masayori Inouye

47.4k total citations · 5 hit papers
624 papers, 38.9k citations indexed

About

Masayori Inouye is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Masayori Inouye has authored 624 papers receiving a total of 38.9k indexed citations (citations by other indexed papers that have themselves been cited), including 547 papers in Molecular Biology, 318 papers in Genetics and 151 papers in Ecology. Recurrent topics in Masayori Inouye's work include Bacterial Genetics and Biotechnology (311 papers), RNA and protein synthesis mechanisms (302 papers) and Bacteriophages and microbial interactions (149 papers). Masayori Inouye is often cited by papers focused on Bacterial Genetics and Biotechnology (311 papers), RNA and protein synthesis mechanisms (302 papers) and Bacteriophages and microbial interactions (149 papers). Masayori Inouye collaborates with scholars based in United States, Japan and Canada. Masayori Inouye's co-authors include S Inouye, Sumiko Inouye, Yoshihiro Yamaguchi, Sangita Phadtare, Ujwal Shinde, Yonglong Zhang, Pamela G. Jones, Ravi C. Dutta, Takeshi Mizuno and Simon Halegoua and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Masayori Inouye

623 papers receiving 37.0k citations

Hit Papers

GHKL, an emergent ATPase/kinase superfamily 1978 2026 1994 2010 2000 1997 1984 2011 1978 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayori Inouye United States 106 29.4k 16.3k 8.3k 4.4k 3.3k 624 38.9k
Jeffrey H Miller United States 59 30.8k 1.0× 17.7k 1.1× 6.5k 0.8× 3.1k 0.7× 3.2k 1.0× 180 41.6k
Richard Losick United States 116 29.6k 1.0× 23.5k 1.4× 16.7k 2.0× 3.2k 0.7× 1.9k 0.6× 337 40.6k
Susan Gottesman United States 93 20.2k 0.7× 14.5k 0.9× 7.3k 0.9× 2.5k 0.6× 3.2k 0.9× 204 26.6k
Thomas J. Silhavy United States 93 19.2k 0.7× 16.7k 1.0× 5.2k 0.6× 3.0k 0.7× 4.9k 1.5× 265 28.5k
F. William Studier United States 60 26.8k 0.9× 11.7k 0.7× 8.2k 1.0× 2.8k 0.6× 1.1k 0.3× 98 36.5k
Barry L. Wanner United States 59 19.5k 0.7× 13.3k 0.8× 4.9k 0.6× 2.2k 0.5× 5.4k 1.6× 111 29.5k
Carol A. Gross United States 84 20.2k 0.7× 12.9k 0.8× 5.3k 0.6× 2.6k 0.6× 2.4k 0.7× 193 25.5k
Joachim Messing United States 63 32.8k 1.1× 15.4k 0.9× 7.2k 0.9× 2.7k 0.6× 2.0k 0.6× 203 48.0k
Frederick C. Neidhardt United States 62 19.1k 0.6× 9.8k 0.6× 4.3k 0.5× 3.4k 0.8× 2.2k 0.6× 134 25.8k
Jeffrey Vieira United States 26 18.8k 0.6× 9.8k 0.6× 4.6k 0.6× 1.9k 0.4× 1.4k 0.4× 32 27.8k

Countries citing papers authored by Masayori Inouye

Since Specialization
Citations

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

Fields of papers citing papers by Masayori Inouye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayori Inouye

This figure shows the co-authorship network connecting the top 25 collaborators of Masayori Inouye. A scholar is included among the top collaborators of Masayori Inouye 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 Masayori Inouye. Masayori Inouye 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.
Kato, Fuminori, et al.. (2022). A novel gyrase inhibitor from toxin–antitoxin system expressed by Staphylococcus aureus. FEBS Journal. 290(6). 1502–1518. 7 indexed citations
2.
Huang, Yuanpeng J., Ning Zhang, Beate Bersch, et al.. (2021). Assessment of prediction methods for protein structures determined by NMR in CASP14 : Impact of AlphaFold2. Proteins Structure Function and Bioinformatics. 89(12). 1959–1976. 32 indexed citations
3.
Ishida, Yojiro, et al.. (2019). A CUGGU/UUGGU-specific MazF homologue from Methanohalobium evestigatum. Biochemical and Biophysical Research Communications. 518(3). 533–540. 5 indexed citations
4.
5.
Inouye, Masayori. (2016). The first demonstration of the existence of reverse transcriptases in bacteria. Gene. 597. 76–77. 7 indexed citations
6.
Inouye, Masayori. (2016). The first demonstration of RNA interference to inhibit mRNA function. Gene. 592(2). 332–333. 8 indexed citations
7.
Ishida, Yojiro, et al.. (2016). The role of the loop 1 region in MazFbs mRNA interferase from Bacillus subtilis in recognition of the 3′ end of the RNA substrate. Biochemical and Biophysical Research Communications. 483(1). 403–408. 1 indexed citations
8.
Yamaguchi, Yoshihiro, et al.. (2014). Characterization of LdrA (Long Direct Repeat A) Protein of <b><i>Escherichia coli</i></b>. Microbial Physiology. 24(2). 91–97. 10 indexed citations
9.
Zhu, Ling, et al.. (2010). Noncognate Mycobacterium tuberculosis Toxin-Antitoxins Can Physically and Functionally Interact. Journal of Biological Chemistry. 285(51). 39732–39738. 63 indexed citations
10.
Tang, Yuefeng, et al.. (2010). The Use of the Condensed Single Protein Production System for Isotope-Labeled Outer Membrane Proteins, OmpA and OmpX in E. coli. Molecular Biotechnology. 47(3). 205–210. 13 indexed citations
11.
Zhang, Yonglong & Masayori Inouye. (2009). The Inhibitory Mechanism of Protein Synthesis by YoeB, an Escherichia coli Toxin. Journal of Biological Chemistry. 284(11). 6627–6638. 90 indexed citations
12.
Yamaguchi, Yoshihiro & Masayori Inouye. (2009). Chapter 12 mRNA Interferases, Sequence‐Specific Endoribonucleases from the Toxin–Antitoxin Systems. Progress in molecular biology and translational science. 85. 467–500. 100 indexed citations
13.
Lu, Yingqing, et al.. (1997). Enhanced skin carcinogenesis in transgenic mice with high expression of glutathione peroxidase or both glutathione peroxidase and superoxide dismutase.. PubMed. 57(8). 1468–74. 99 indexed citations
14.
Pillutla, Renuka, Joohong Ahnn, & Masayori Inouye. (1996). Deletion of the putative effector region of Era, an essential GTP-binding protein inEscherichia coli, causes a dominant-negative phenotype. FEMS Microbiology Letters. 143(1). 47–55. 19 indexed citations
15.
Jin, Tian & Masayori Inouye. (1995). Identification of the genes in multicopy plasmids affectingompCandompFexpression inEscherichia coli. FEMS Microbiology Letters. 133(3). 225–231. 2 indexed citations
16.
Lerner, Claude G., et al.. (1992). Cold-sensitive growth and decreased GTP-hydrolytic activity from substitution of Pro17 for Val in Era, an essentialEscherichia coliGTPase. FEMS Microbiology Letters. 95(2-3). 137–142. 18 indexed citations
17.
Forst, Steven & Masayori Inouye. (1988). Environmentally Regulated Gene Expression for Membrane Proteins in Escherichia coli. PubMed. 4(1). 21–42. 118 indexed citations
18.
Lunn, Charles A., Masayasu Takahara, & Masayori Inouye. (1986). [11] Use of secretion cloning vectors for guiding the localization of proteins in Escherichia coli. Methods in enzymology on CD-ROM/Methods in enzymology. 125. 138–149. 11 indexed citations
19.
Hirashima, Akikazu, et al.. (1986). Engineering of the mRNA-interfering complementary RNA immune system against viral infection.. Proceedings of the National Academy of Sciences. 83(20). 7726–7730. 28 indexed citations
20.
Inouye, Masayori. (1983). Experimental manipulation of gene expression. Academic Press eBooks. 98 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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