Daiyu Ito
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
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- Reproductive Biology and Fertility 18
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- Horticultural and Viticultural Research 8
- Plant Physiology and Cultivation Studies 7
- Plant responses to elevated CO2 3
- Co-authors
- Teruhiko Wakayama (18 shared papers)Sayaka Wakayama (16 shared papers)Masatoshi Ooga (14 shared papers)Toshihiko Sugiura (5 shared papers)Yuko Kamada (5 shared papers)Satoshi Kamimura (2 shared papers)Takashi Ishiuchi (3 shared papers)Shigenobu Yonemura (1 shared paper)
- Journals
- Scientific Reports (6 papers)Journal of Reproduction and Development (5 papers)PLoS ONE (2 papers)Development (2 papers)Nature Communications (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Daiyu Ito
35 papers receiving 267 citations
Peers
Comparison fields: 5 of 48
- Reproductive Medicine 82
- Public Health, Environmental and Occupational Health 113
- Plant Science 93
- Physiology 11
- Genetics 45
Countries citing papers authored by Daiyu Ito
This map shows the geographic impact of Daiyu Ito'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 Daiyu Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiyu Ito more than expected).
Fields of papers citing papers by Daiyu Ito
This network shows the impact of papers produced by Daiyu Ito. 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 Daiyu Ito. The network helps show where Daiyu Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Daiyu Ito, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 28 | |
| 2 | 2018 | 27 | |
| 3 | 2019 | 26 | |
| 4 | 2005 | 25 | |
| 5 | 2019 | 21 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 1997 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2003 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2002 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2001 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2016 | 4 |
About Daiyu Ito
Daiyu Ito is a scholar working on Public Health, Environmental and Occupational Health, Plant Science, Reproductive Medicine, Molecular Biology and Genetics, having authored 37 papers that have together received 281 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (18 papers), Sperm and Testicular Function (10 papers), Horticultural and Viticultural Research (8 papers), Plant Physiology and Cultivation Studies (7 papers), Plant Water Relations and Carbon Dynamics (6 papers), Animal Genetics and Reproduction (6 papers), Pluripotent Stem Cells Research (6 papers) and Plant responses to elevated CO2 (3 papers). The work is most often cited by research in Reproductive Medicine (82 citations), Public Health, Environmental and Occupational Health (113 citations), Plant Science (93 citations), Physiology (11 citations) and Genetics (45 citations). Daiyu Ito has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Teruhiko Wakayama, Sayaka Wakayama, Masatoshi Ooga, Toshihiko Sugiura, Yuko Kamada, Satoshi Kamimura, Takashi Ishiuchi, Shigenobu Yonemura, Satoshi Kishigami and Kazuma Okada. Their work appears in journals such as Scientific Reports, Journal of Reproduction and Development, PLoS ONE, Development and Nature Communications.
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.