Simon Goto
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Cancer-related gene regulation
- RNA Research and Splicing
- Epigenetics and DNA Methylation
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- Bacterial Genetics and Biotechnology
Papers in
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- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 7
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Akira Muto (8 shared papers)Hyouta Himeno (6 shared papers)Hachiro Inokuchi (3 shared papers)Maki Maeda (1 shared paper)Kenji Nakahigashi (2 shared papers)Taku Oshima (1 shared paper)Shin‐ichiro Narita (1 shared paper)Hirotada Mori (1 shared paper)
- Journals
- The Journal of Biochemistry (5 papers)eLife (2 papers)Nucleic Acids Research (2 papers)Molecular Genetics and Genomics (1 paper)The EMBO Journal (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Simon Goto
17 papers receiving 356 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 292
- Genetics 111
- Structural Biology 5
- Endocrinology 12
- Molecular Medicine 10
Countries citing papers authored by Simon Goto
This map shows the geographic impact of Simon Goto'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 Simon Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Goto more than expected).
Fields of papers citing papers by Simon Goto
This network shows the impact of papers produced by Simon Goto. 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 Simon Goto. The network helps show where Simon Goto may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Goto, 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 | 2002 | 105 | |
| 2 | 2013 | 59 | |
| 3 | 2010 | 45 | |
| 4 | 2019 | 32 | |
| 5 | 2017 | 28 | |
| 6 | 2014 | 21 | |
| 7 | 2001 | 15 | |
| 8 | 2013 | 14 | |
| 9 | 2016 | 13 | |
| 10 | 2025 | 9 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2025 | 2 | |
| 15 | Analysis of mutagens by the microsuspension forward-mutation assay in Salmonella typhimurium strain TM677. | 1993 | 2 |
| 16 | 2003 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2022 | 0 |
About Simon Goto
Simon Goto is a scholar working on Molecular Biology, Genetics, Ecology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 361 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Bacterial Genetics and Biotechnology (7 papers), RNA modifications and cancer (7 papers), Bacteriophages and microbial interactions (4 papers), Mosquito-borne diseases and control (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Molecular Biology (292 citations), Genetics (111 citations), Structural Biology (5 citations), Endocrinology (12 citations) and Molecular Medicine (10 citations). Simon Goto has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Akira Muto, Hyouta Himeno, Hachiro Inokuchi, Maki Maeda, Kenji Nakahigashi, Taku Oshima, Shin‐ichiro Narita, Hirotada Mori, Naoko Kubo and Takeshi Shimaoka. Their work appears in journals such as The Journal of Biochemistry, eLife, Nucleic Acids Research, Molecular Genetics and Genomics and The EMBO Journal.
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.