Takiko Daikoku
- Reproductive Medicine top 0.2%
- Endometriosis Research and Treatment 18
- Obstetrics and Gynecology top 0.5%
- Pregnancy and preeclampsia studies 10
- Immunology top 0.5%
- Reproductive System and Pregnancy 35
- Cancer Research top 5%
- Agronomy and Crop Science top 2%
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- Circadian rhythm and melatonin 13
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- Estrogen and related hormone effects 13
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- Reproductive Biology and Fertility 9
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- Dietary Effects on Health 7
- Adipose Tissue and Metabolism 7
- Co-authors
- Sudhansu K. DeySusanne TranguchSanjoy K. DasHaibin WangBibhash C. PariaRaymond N. DuBoisJeff ReeseHyunjung Jade Lim
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takiko Daikoku
92 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Reproductive Medicine 1.7k
- Obstetrics and Gynecology 1.1k
- Immunology 2.9k
- Cancer Research 635
- Agronomy and Crop Science 312
Countries citing papers authored by Takiko Daikoku
This map shows the geographic impact of Takiko Daikoku'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 Takiko Daikoku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takiko Daikoku more than expected).
Fields of papers citing papers by Takiko Daikoku
This network shows the impact of papers produced by Takiko Daikoku. 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 Takiko Daikoku. The network helps show where Takiko Daikoku may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takiko Daikoku, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 19 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 3 | |
| 9 | 2018 | 8 | |
| 10 | 2015 | 135 | |
| 11 | 2014 | 23 | |
| 12 | 2008 | 191 | |
| 13 | 2008 | 56 | |
| 14 | 2007 | 39 | |
| 15 | 2007 | 23 | |
| 16 | 2006 | 287 | |
| 17 | 2006 | 64 | |
| 18 | 2005 | 114 | |
| 19 | 2005 | 37 | |
| 20 | 2001 | 8 |
About Takiko Daikoku
Takiko Daikoku is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Obstetrics and Gynecology, having authored 93 papers that have together received 5.3k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (35 papers), Endometriosis Research and Treatment (18 papers), Circadian rhythm and melatonin (13 papers), Estrogen and related hormone effects (13 papers), Pregnancy and preeclampsia studies (10 papers), Reproductive Biology and Fertility (9 papers), Dietary Effects on Health (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Reproductive Medicine (1.7k citations), Obstetrics and Gynecology (1.1k citations) and Immunology (2.9k citations). Takiko Daikoku has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Sudhansu K. Dey, Susanne Tranguch, Sanjoy K. Das, Haibin Wang, Bibhash C. Paria, Raymond N. DuBois, Jeff Reese, Hyunjung Jade Lim, Dingzhi Wang and Yasushi Hirota. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.