Daisuke Mashiko
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Reproductive Medicine top 5%
- Sperm and Testicular Function
Papers in
-
- CRISPR and Genetic Engineering 6
- Pluripotent Stem Cells Research 4
- Renal and related cancers 3
-
- Reproductive Biology and Fertility 12
- Co-authors
- Masahito Ikawa (14 shared papers)Yuhkoh Satouh (3 shared papers)Yoshitaka Fujihara (3 shared papers)Haruhiko Miyata (6 shared papers)Ayako Isotani (2 shared papers)Masanaga Muto (2 shared papers)Kaori Nozawa (2 shared papers)Kazuo Yamagata (9 shared papers)
- Journals
- Scientific Reports (6 papers)Nature Communications (2 papers)Stem Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genes to Cells (2 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Daisuke Mashiko
21 papers receiving 731 citations
Peers
Comparison fields: 5 of 85
- Aging 51
- Reproductive Medicine 160
- Business and International Management 17
- Genetics 217
- Molecular Biology 492
Countries citing papers authored by Daisuke Mashiko
This map shows the geographic impact of Daisuke Mashiko'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 Daisuke Mashiko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Mashiko more than expected).
Fields of papers citing papers by Daisuke Mashiko
This network shows the impact of papers produced by Daisuke Mashiko. 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 Daisuke Mashiko. The network helps show where Daisuke Mashiko may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Mashiko, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 333 | |
| 2 | 2015 | 129 | |
| 3 | 2013 | 71 | |
| 4 | 2014 | 41 | |
| 5 | 2021 | 35 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 29 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2017 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2025 | 1 |
About Daisuke Mashiko
Daisuke Mashiko is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics and Immunology, having authored 24 papers that have together received 737 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (12 papers), CRISPR and Genetic Engineering (6 papers), Sperm and Testicular Function (6 papers), Reproductive System and Pregnancy (4 papers), Pluripotent Stem Cells Research (4 papers), Animal Genetics and Reproduction (3 papers), Renal and related cancers (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Aging (51 citations), Reproductive Medicine (160 citations), Business and International Management (17 citations), Genetics (217 citations) and Molecular Biology (492 citations). Daisuke Mashiko has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masahito Ikawa, Yuhkoh Satouh, Yoshitaka Fujihara, Haruhiko Miyata, Ayako Isotani, Masanaga Muto, Kaori Nozawa, Kazuo Yamagata, Kogiku Shiba and Kazuo Inaba. Their work appears in journals such as Scientific Reports, Nature Communications, Stem Cell Reports, Proceedings of the National Academy of Sciences and Genes to Cells.
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.