Takiko Daikoku
- Immunology top 0.5%
- Reproductive Medicine top 0.2%
- Molecular Biology top 5%
- Obstetrics and Gynecology top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Sudhansu K. DeySusanne TranguchSanjoy K. DasHaibin WangBibhash C. PariaRaymond N. DuBoisJeff ReeseHyunjung Jade Lim
- Topics
- Reproductive System and Pregnancy (35 papers)Endometriosis Research and Treatment (18 papers)Circadian rhythm and melatonin (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- 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
- Immunology 2.9k
- Reproductive Medicine 1.7k
- Molecular Biology 1.5k
- Obstetrics and Gynecology 1.1k
- Public Health, Environmental and Occupational Health 861
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 of co-authors of Takiko Daikoku
This figure shows the co-authorship network connecting the top 25 collaborators of Takiko Daikoku. A scholar is included among the top collaborators of Takiko Daikoku based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takiko Daikoku. Takiko Daikoku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 135 | |
| 11 | 23 | |
| 12 | 191 | |
| 13 | 56 | |
| 14 | 39 | |
| 15 | 23 | |
| 16 | 287 | |
| 17 | 64 | |
| 18 | 114 | |
| 19 | 37 | |
| 20 | 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) and Circadian rhythm and melatonin (13 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.