Kazue Takano

6.3k citations
243 papers · 4.9k indexed · h-index 36

Kazue Takano

238 papers receiving 4.6k citations

Peers

Kazue Takano
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 3.2k
  • Endocrine and Autonomic Systems 300
  • Genetics 712
  • Surgery 1.1k
  • Cardiology and Cardiovascular Medicine 495
Replace Antonio Bellastella with:
Antonio Bellastella Italy
Laura De Marinis Italy
Ram K. Menon United States
Primus E. Mullis Switzerland
Naomi Hizuka Japan
Joseph M. Gertner United States
Jaime Guevara‐Aguirre United States
A. G. H. Smals Netherlands
Maura Arosio Italy
E. Heinze Germany
Kazue Takano relative to Antonio Bellastella Italy Antonio Bellastella's profile →
Citations per field
00.5×1.5×2.3×
Antonio Bellastella · 1×
Citations per year

Countries citing papers authored by Kazue Takano

Since Specialization
Citations

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

Fields of papers citing papers by Kazue Takano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kazue Takano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kazue Takano Line = papers co-authored together Kazue Takano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201311
2 20115
3 200918
4
Clinical Characteristics of Familial Graves' Disease at the Tokyo Women's Medical University Hospital : Higher Male-to-Female Ratio and Earlier Onset Compared to Non-familial Cases
20061
5 200653
6 20066
7 200651
8 200417
9 200317
10 200342
11 200118
12
Clinical Outcome of GH Treatment in Turner Girls in Japan : Results of Multicentre Trial
20002
13 20004
14 200013
15 199979
16 199830
17 19970
18
Biological effects of insulin-like growth factor I in vivo
19881
19 19869
20 197511

About Kazue Takano

Kazue Takano is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 243 papers that have together received 4.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (108 papers), Pituitary Gland Disorders and Treatments (58 papers), Thyroid Disorders and Treatments (28 papers), Sexual Differentiation and Disorders (24 papers), Adrenal and Paraganglionic Tumors (23 papers), Cancer, Hypoxia, and Metabolism (18 papers), Adrenal Hormones and Disorders (17 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.2k citations), Endocrine and Autonomic Systems (300 citations) and Genetics (712 citations). Kazue Takano has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Naomi Hizuka, KAZUO SHIZUME, Izumi Fukuda, Mitsuhide Naruse, Mari Hotta, Megumi Miyakawa, Akiyo Tanabe, Kanji Sato, Sachiko Takagi and KUMIKO ASAKAWA. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Thyroid, Acta Paediatrica and Journal of Cardiovascular Pharmacology.

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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