Yuko Shimada‐Niwa
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 13
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- Insect Utilization and Effects 3
- Insect symbiosis and bacterial influences 2
- Co-authors
- Ryusuke Niwa (16 shared papers)Satoru Kobayashi (2 shared papers)Shu Kondo (5 shared papers)Tetsuro Shinoda (2 shared papers)Sora Enya (3 shared papers)Hiroshi Kataoka (2 shared papers)Yuto Yoshinari (3 shared papers)Shuji Takahashi (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)eLife (2 papers)Genetics (1 paper)PLoS Biology (1 paper)Current Biology (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yuko Shimada‐Niwa
15 papers receiving 651 citations
Peers
Comparison fields: 5 of 68
- Aging 58
- Cellular and Molecular Neuroscience 432
- Insect Science 234
- Ecology, Evolution, Behavior and Systematics 126
- Endocrine and Autonomic Systems 44
Countries citing papers authored by Yuko Shimada‐Niwa
This map shows the geographic impact of Yuko Shimada‐Niwa'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 Yuko Shimada‐Niwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Shimada‐Niwa more than expected).
Fields of papers citing papers by Yuko Shimada‐Niwa
This network shows the impact of papers produced by Yuko Shimada‐Niwa. 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 Yuko Shimada‐Niwa. The network helps show where Yuko Shimada‐Niwa may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Shimada‐Niwa, 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 | 2010 | 159 | |
| 2 | 2011 | 142 | |
| 3 | 2014 | 69 | |
| 4 | 2018 | 61 | |
| 5 | 2015 | 47 | |
| 6 | 2020 | 40 | |
| 7 | 2015 | 31 | |
| 8 | 2017 | 31 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2017 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2025 | 1 | |
| 16 | 2019 | 0 |
About Yuko Shimada‐Niwa
Yuko Shimada‐Niwa is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Genetics and Immunology, having authored 16 papers that have together received 655 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Insect Resistance and Genetics (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Insect and Arachnid Ecology and Behavior (4 papers), Animal Behavior and Reproduction (4 papers), Insect Utilization and Effects (3 papers), Insect symbiosis and bacterial influences (2 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Aging (58 citations), Cellular and Molecular Neuroscience (432 citations), Insect Science (234 citations), Ecology, Evolution, Behavior and Systematics (126 citations) and Endocrine and Autonomic Systems (44 citations). Yuko Shimada‐Niwa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ryusuke Niwa, Satoru Kobayashi, Shu Kondo, Tetsuro Shinoda, Sora Enya, Hiroshi Kataoka, Yuto Yoshinari, Shuji Takahashi, Yoshikazu Haramoto and Takeshi Matsuya. Their work appears in journals such as Journal of Biological Chemistry, eLife, Genetics, PLoS Biology and Current Biology.
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.