Hisao Moriya

2.6k total citations
61 papers, 1.8k citations indexed

About

Hisao Moriya is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Hisao Moriya has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Surgery. Recurrent topics in Hisao Moriya's work include Fungal and yeast genetics research (29 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Orthopaedic implants and arthroplasty (7 papers). Hisao Moriya is often cited by papers focused on Fungal and yeast genetics research (29 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Orthopaedic implants and arthroplasty (7 papers). Hisao Moriya collaborates with scholars based in Japan, United States and Canada. Hisao Moriya's co-authors include Mark Johnston, Hiroaki Kitano, Koji Makanae, Yuki Shimizu‐Yoshida, Kenji Watanabe, Takashi Makino, Noriyasu Ishikawa, Hiroshi Noguchi, Yuta Tsunematsu and Kinya Hotta and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Hisao Moriya

58 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hisao Moriya Japan 23 1.3k 211 200 198 159 61 1.8k
Kai Wu China 23 1.1k 0.8× 102 0.5× 132 0.7× 231 1.2× 132 0.8× 102 1.7k
Spyros I. Vernardis United Kingdom 9 1.1k 0.9× 129 0.6× 121 0.6× 47 0.2× 89 0.6× 11 1.8k
Carl I. Webster United Kingdom 27 1.5k 1.2× 163 0.8× 399 2.0× 44 0.2× 198 1.2× 46 2.3k
Shujing Liu United States 25 1.6k 1.2× 148 0.7× 403 2.0× 196 1.0× 87 0.5× 53 2.3k
Arvind Ingle India 24 659 0.5× 145 0.7× 79 0.4× 104 0.5× 88 0.6× 76 1.4k
Thomas G. Turi United States 19 942 0.7× 260 1.2× 87 0.4× 132 0.7× 101 0.6× 22 1.6k
Shin‐Il Kim South Korea 31 1.9k 1.5× 130 0.6× 149 0.7× 75 0.4× 92 0.6× 71 2.5k
Randy Strich United States 29 2.2k 1.7× 521 2.5× 268 1.3× 66 0.3× 100 0.6× 60 2.8k
Jin Y China 15 1.2k 1.0× 380 1.8× 68 0.3× 94 0.5× 205 1.3× 47 1.9k
Shiqian Qi China 20 877 0.7× 288 1.4× 197 1.0× 56 0.3× 50 0.3× 61 1.6k

Countries citing papers authored by Hisao Moriya

Since Specialization
Citations

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

Fields of papers citing papers by Hisao Moriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisao Moriya

This figure shows the co-authorship network connecting the top 25 collaborators of Hisao Moriya. A scholar is included among the top collaborators of Hisao Moriya 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 Hisao Moriya. Hisao Moriya 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.
2.
Nemoto, Michiko, et al.. (2025). Radular teeth matrix protein 1 directs iron oxide deposition in chiton teeth. Science. 389(6760). 637–643. 1 indexed citations
3.
Moriya, Hisao, et al.. (2024). Toxicity of the model protein 3×GFP arises from degradation overload, not from aggregate formation. Journal of Cell Science. 137(11). 1 indexed citations
4.
Kojima, Keiichi, et al.. (2023). Demonstration of iodide-dependent UVA-triggered growth inhibition in Saccharomyces cerevisiae cells and identification of its suppressive molecules. Biochemical and Biophysical Research Communications. 677. 1–5.
5.
Mori, Yoshihiro, Yuki Yoshida, Ayano Satoh, & Hisao Moriya. (2020). Development of an experimental method of systematically estimating protein expression limits in HEK293 cells. Scientific Reports. 10(1). 4798–4798. 16 indexed citations
6.
Moriya, Hisao. (2020). The expression level and cytotoxicity of green fluorescent protein are modulated by an additional N-terminal sequence. AIMS Biophysics. 7(2). 121–132. 4 indexed citations
7.
Makanae, Koji, et al.. (2020). N-terminal deletion of Swi3 created by the deletion of a dubious ORF YJL175W mitigates protein burden effect in S. cerevisiae. Scientific Reports. 10(1). 9500–9500. 6 indexed citations
8.
Makanae, Koji, Hisaaki Kato, Keiji Kito, et al.. (2020). Genetic profiling of protein burden and nuclear export overload. eLife. 9. 12 indexed citations
9.
Moriya, Hisao. (2015). Quantitative nature of overexpression experiments. Molecular Biology of the Cell. 26(22). 3932–3939. 108 indexed citations
10.
Tsunematsu, Yuta, Noriyasu Ishikawa, Daigo Wakana, et al.. (2013). Distinct mechanisms for spiro-carbon formation reveal biosynthetic pathway crosstalk. Nature Chemical Biology. 9(12). 818–825. 120 indexed citations
11.
Moriya, Hisao, et al.. (2012). Robustness analysis of cellular systems using the genetic tug-of-war method. Molecular BioSystems. 8(10). 2513–2522. 20 indexed citations
12.
Makanae, Koji, et al.. (2012). Identification of dosage-sensitive genes in Saccharomyces cerevisiae using the genetic tug-of-war method. Genome Research. 23(2). 300–311. 108 indexed citations
13.
Ishiuchi, Kan’ichiro, Takehito Nakazawa, Satoru Sugimoto, et al.. (2012). Establishing a New Methodology for Genome Mining and Biosynthesis of Polyketides and Peptides through Yeast Molecular Genetics. ChemBioChem. 13(6). 846–854. 66 indexed citations
14.
Watanabe, Kenji, et al.. (2010). Plasmid Construction Using Recombination Activity in the Fission Yeast Schizosaccharomyces pombe. PLoS ONE. 5(3). e9652–e9652. 24 indexed citations
15.
Azuma, Takehito, et al.. (2006). A robustness analysis of eukaryotic cell cycle concerning Cdc25 and wee1 proteins. 295. 1734–1739. 1 indexed citations
16.
Dharmarajan, Sekhar, et al.. (2005). Inhibition of nuclear factor κB by IκB superrepressor gene transfer ameliorates ischemia-reperfusion injury after experimental lung transplantation. Journal of Thoracic and Cardiovascular Surgery. 130(1). 194–201. 48 indexed citations
17.
Kamegaya, Makoto, et al.. (2002). Natural history of infantile tibia vara. Journal of Bone and Joint Surgery - British Volume. 84(2). 263–268. 20 indexed citations
18.
Masuda, K, Yuko Makino, Tetsuya Ito, et al.. (1997). Phenotypes and invariant alpha beta TCR expression of peripheral V alpha 14+ NK T cells. The Journal of Immunology. 158(5). 2076–2082. 40 indexed citations
19.
Koizumi, Wataru, Hisao Moriya, K. Tsuchiya, et al.. (1996). LUDLOFF’S MEDIAL APPROACH FOR OPEN REDUCTION OF CONGENITAL DISLOCATION OF THE HIP. Journal of Bone and Joint Surgery - British Volume. 78-B(6). 924–929. 45 indexed citations
20.
Kamegaya, Makoto, et al.. (1994). The use of a hydroxyapatite block for innominate osteotomy. Journal of Bone and Joint Surgery - British Volume. 76-B(1). 123–126. 17 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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