Kyoko E. Yuki
Impact in
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- Escherichia coli research studies
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 3
- Genetics 4
- Co-authors
- Danielle Malo (9 shared papers)Silvia M. Vidal (5 shared papers)Megan M. Eva (4 shared papers)Yves Durocher (1 shared paper)Sandeep Dhillon (1 shared paper)Mathieu Cellier (2 shared papers)Aleixo M. Muise (1 shared paper)Samantha Gruenheid (1 shared paper)
- Journals
- Nature Communications (2 papers)Genes and Immunity (2 papers)PLoS ONE (2 papers)Biology of Sex Differences (2 papers)Molecular Case Studies (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Kyoko E. Yuki
18 papers receiving 215 citations
Peers
Comparison fields: 5 of 54
- Endocrinology 28
- Immunology 36
- Molecular Biology 118
- Genetics 45
- Food Science 29
Countries citing papers authored by Kyoko E. Yuki
This map shows the geographic impact of Kyoko E. Yuki'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 Kyoko E. Yuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko E. Yuki more than expected).
Fields of papers citing papers by Kyoko E. Yuki
This network shows the impact of papers produced by Kyoko E. Yuki. 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 Kyoko E. Yuki. The network helps show where Kyoko E. Yuki may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyoko E. Yuki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 63 | |
| 2 | 2019 | 38 | |
| 3 | 2013 | 15 | |
| 4 | 2013 | 12 | |
| 5 | 2008 | 12 | |
| 6 | 2011 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2013 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2014 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2015 | 0 |
About Kyoko E. Yuki
Kyoko E. Yuki is a scholar working on Molecular Biology, Genetics, Endocrinology, Food Science and Cancer Research, having authored 21 papers that have together received 217 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Salmonella and Campylobacter epidemiology (4 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (3 papers), Escherichia coli research studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Cell Adhesion Molecules Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Endocrinology (28 citations), Immunology (36 citations), Molecular Biology (118 citations), Genetics (45 citations) and Food Science (29 citations). Kyoko E. Yuki has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Danielle Malo, Silvia M. Vidal, Megan M. Eva, Yves Durocher, Sandeep Dhillon, Mathieu Cellier, Aleixo M. Muise, Samantha Gruenheid, Eugene Kang and Ajitha Thanabalasuriar. Their work appears in journals such as Nature Communications, Genes and Immunity, PLoS ONE, Biology of Sex Differences and Molecular Case Studies.
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.