Kyoko Taku

1.2k citations
12 papers · 851 indexed · h-index 11
Topics
Phytoestrogen effects and research (8 papers)Estrogen and related hormone effects (4 papers)Cancer Risks and Factors (3 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Kyoko Taku

12 papers receiving 805 citations

Peers

Kyoko Taku
Comparison fields: 5 of 93
  • Pathology and Forensic Medicine 512
  • Nutrition and Dietetics 220
  • Endocrinology, Diabetes and Metabolism 219
  • Public Health, Environmental and Occupational Health 171
  • Genetics 171
Replace Tomomi Ueno with:
Tomomi Ueno Japan
Shigeto Uchiyama Japan
Kerry E. Wangen United States
Maria Letizia Cannata Italy
Fabien S Dalais Australia
Charles T. Peterson United States
D. Kenneth United States
Marian S. Faughnan United Kingdom
Alice L. Murkies Australia
J. Liggins United Kingdom
Kyoko Taku relative to Tomomi Ueno Japan Tomomi Ueno's profile →
Citations per field
00.5×2.6×
Tomomi Ueno · 1×
Citations per year

Countries citing papers authored by Kyoko Taku

Since Specialization
Citations

This map shows the geographic impact of Kyoko Taku'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 Kyoko Taku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Taku more than expected).

Fields of papers citing papers by Kyoko Taku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyoko Taku. 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 Kyoko Taku. The network helps show where Kyoko Taku may publish in the future.

Co-authorship network of co-authors of Kyoko Taku

This figure shows the co-authorship network connecting the top 25 collaborators of Kyoko Taku. A scholar is included among the top collaborators of Kyoko Taku 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 Kyoko Taku. Kyoko Taku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 15
2 31
3 132
4 17
5 99
6 67
7 71
8
Effect of soy isoflavone extract supplements on bone mineral density in menopausal women: meta-analysis of randomized controlled trials.
89
9 26
10 6
11 27
12 271

About Kyoko Taku

Kyoko Taku is a scholar working on Pathology and Forensic Medicine, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 851 indexed citations. Recurring topics across this work include Phytoestrogen effects and research (8 papers), Estrogen and related hormone effects (4 papers) and Cancer Risks and Factors (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (512 citations), Biochemistry (88 citations) and Nutrition and Dietetics (220 citations). Kyoko Taku has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Shaw Watanabe, Melissa K. Melby, Mindy S. Kurzer, Keizo Umegaki, Kaori Endoh, Yoko Sato, Yuko Taki, Yoshiko Ishimi, Toyonori Omori and Shoichi Mizuno. Their work appears in journals such as American Journal of Clinical Nutrition, British Journal Of Nutrition and Bone.

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.

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