Keiko Takeoka

738 citations
38 papers · 553 indexed · h-index 15
Topics
Thyroid Disorders and Treatments (22 papers)Growth Hormone and Insulin-like Growth Factors (9 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
Partner nations
Japan

In The Last Decade

Keiko Takeoka

38 papers receiving 537 citations

Peers

Keiko Takeoka
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 329
  • Immunology 98
  • Genetics 81
  • Molecular Biology 77
  • Physiology 71
Replace Keiichi Kamijo with:
Keiichi Kamijo Japan
F. Clark United Kingdom
Ajay Ajmani United States
Eliška Potluková Czechia
A. Sztankay Austria
Taeuk Kang South Korea
Hidefumi Inaba Japan
J Daykin United Kingdom
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Keiko Takeoka relative to Keiichi Kamijo Japan Keiichi Kamijo's profile →
Citations per field
00.5×2.7×
Keiichi Kamijo · 1×
Citations per year

Countries citing papers authored by Keiko Takeoka

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Takeoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Takeoka

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 31
2 4
3 39
4 18
5 7
6 7
7 24
8 14
9 6
10
[Serum TSH measurement].
1
11 36
12 21
13 16
14 13
15 14
16 8
17 44
18 30
19
Cellular immunity as a valuable factor for prognostic prediction in patients with Graves' disease under antithyroid drug therapy.
4
20 2

About Keiko Takeoka

Keiko Takeoka is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Immunology and Allergy, having authored 38 papers that have together received 553 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (22 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (329 citations), Immunology (98 citations) and Obstetrics and Gynecology (27 citations). Keiko Takeoka has collaborated with scholars based in Japan. Frequent co-authors include Nobuyuki Amino, Yoh Hidaka, Hisato Tada, Yuki Shimaoka, Haruo Tamaki, Yukiko Izumi, Toru Takano, K Miyai, Nobuaki Mitsuda and Hirokazu Tada. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Chemistry and The Journal of Pediatrics.

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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