Masami Ueta
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Endocrinology top 10%
Papers in
- Genetics 11
- Bacterial Genetics and Biotechnology 11
-
- RNA and protein synthesis mechanisms 12
- RNA modifications and cancer 8
- CRISPR and Genetic Engineering 1
- Photosynthetic Processes and Mechanisms 1
- Enzyme Catalysis and Immobilization 1
- Co-authors
- Akira Wada (13 shared papers)Chieko Wada (9 shared papers)Hideji Yoshida (7 shared papers)Yasushi Maki (5 shared papers)Ryosuke L. Ohniwa (2 shared papers)Tomoya Baba (1 shared paper)Hirotada Mori (1 shared paper)Akiko Sakai (2 shared papers)
In The Last Decade
Masami Ueta
13 papers receiving 543 citations
Peers
Comparison fields: 5 of 49
- Genetics 238
- Endocrinology 39
- Molecular Biology 468
- Ecology 122
- Infectious Diseases 64
Countries citing papers authored by Masami Ueta
This map shows the geographic impact of Masami Ueta'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 Masami Ueta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masami Ueta more than expected).
Fields of papers citing papers by Masami Ueta
This network shows the impact of papers produced by Masami Ueta. 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 Masami Ueta. The network helps show where Masami Ueta may publish in the future.
Co-authors
The 25 scholars most cited alongside Masami Ueta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 125 | |
| 2 | 2008 | 101 | |
| 3 | 2009 | 76 | |
| 4 | 2013 | 58 | |
| 5 | 2010 | 51 | |
| 6 | 2012 | 38 | |
| 7 | 2009 | 31 | |
| 8 | 2017 | 23 | |
| 9 | 2009 | 19 | |
| 10 | 2020 | 16 | |
| 11 | Properties of β-galactosidase purified from Bifidobacterium longum subsp. longum JCM 7052 grown on gum arabic | 2010 | 9 |
| 12 | 2021 | 8 | |
| 13 | Purification and characterization of α-galactosidase 1 from Bifidobacterium longum subsp. longum JCM 7052 | 2010 | 6 |
| 14 | 2024 | 0 | |
| 15 | 2023 | 0 |
About Masami Ueta
Masami Ueta is a scholar working on Genetics, Molecular Biology, Ecology, Biotechnology and Nutrition and Dietetics, having authored 15 papers that have together received 561 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Bacterial Genetics and Biotechnology (11 papers), RNA modifications and cancer (8 papers), Bacteriophages and microbial interactions (5 papers), Enzyme Production and Characterization (2 papers), CRISPR and Genetic Engineering (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Genetics (238 citations), Endocrinology (39 citations), Molecular Biology (468 citations), Ecology (122 citations) and Infectious Diseases (64 citations). Masami Ueta has collaborated with scholars based in Japan and Taiwan. Frequent co-authors include Akira Wada, Chieko Wada, Hideji Yoshida, Yasushi Maki, Ryosuke L. Ohniwa, Tomoya Baba, Hirotada Mori, Akiko Sakai, Minoru Ueda and Koh-ichi Kadowaki. Their work appears in journals such as Genes to Cells, Journal of Bacteriology, Gene, The Journal of Biochemistry and Frontiers in Molecular Biosciences.
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.