Simon Goto

535 citations
18 papers · 359 · h-index 9

Impact in

    • 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
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 10
    • RNA modifications and cancer 7
    • Bacterial Genetics and Biotechnology 7

Simon Goto

17 papers receiving 353 citations

Peers

Simon Goto
Comparison fields: 5 of 53
  • Molecular Biology 290
  • Genetics 110
  • Structural Biology 5
  • Endocrinology 12
  • Molecular Medicine 10
Replace Masahito Kawazoe with:
Masahito Kawazoe Japan
Tommie L. Lincecum United States
Françoise Le Hégarat France
Hans-Joachim Höltke United States
Thomas Malone United States
Alexis Cocozaki United States
Ying Z. Pigli United States
Kaiying Cheng China
Yanwu Huo China
Barry Holland France
Simon Goto relative to Masahito Kawazoe Japan Masahito Kawazoe's profile →
Citations per field
00.5×1.6×
Masahito Kawazoe · 1×
Citations per year

Countries citing papers authored by Simon Goto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Simon Goto Line = papers co-authored together Simon Goto links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2002107
2 201361
3 201045
4 201932
5 201728
6 201422
7 200115
8 201314
9 201613
10 20206
11 20204
12 20253
13 20233
14 20032
15
Analysis of mutagens by the microsuspension forward-mutation assay in Salmonella typhimurium strain TM677.
19932
16 20201
17 20241
18 20220

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 18 papers that have together received 359 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), Vaccine Coverage and Hesitancy (2 papers), SARS-CoV-2 detection and testing (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Biology (290 citations), Genetics (110 citations), Structural Biology (5 citations), Endocrinology (12 citations) and Molecular Medicine (10 citations). Simon Goto has collaborated with scholars based in Japan, China and Germany. Frequent co-authors include Akira Muto, Hyouta Himeno, Hachiro Inokuchi, Kenji Nakahigashi, Shin‐ichiro Narita, Takeshi Shimaoka, Maki Maeda, Chieko Wada, Hirotada Mori and Naoko Kubo. Their work appears in journals such as The Journal of Biochemistry, eLife, Nucleic Acids Research, The EMBO Journal and Journal of Virology.

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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