Mayuko Kadono

768 citations
28 papers · 611 indexed · h-index 13
Topics
Hormonal and reproductive studies (9 papers)Diabetes Management and Research (5 papers)Diabetes Treatment and Management (4 papers)
Partner nations
Japan

In The Last Decade

Mayuko Kadono

27 papers receiving 592 citations

Peers

Mayuko Kadono
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 268
  • Molecular Biology 144
  • Nephrology 96
  • Epidemiology 75
  • Pulmonary and Respiratory Medicine 67
Replace Aleksandra Araszkiewicz with:
Aleksandra Araszkiewicz Poland
Mirella Moro Italy
Jana Bělobrádková Czechia
Avraham Ishay Israel
Yuko Akehi Japan
Wallaya Jongjaroenprasert Thailand
Michael P. Massett United States
Armağan Tuğrul Türkiye
Taku Masuyama Japan
Mayuko Kadono relative to Aleksandra Araszkiewicz Poland Aleksandra Araszkiewicz's profile →
Citations per field
00.5×1.5×2.4×
Aleksandra Araszkiewicz · 1×
Citations per year

Countries citing papers authored by Mayuko Kadono

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Kadono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayuko Kadono

This figure shows the co-authorship network connecting the top 25 collaborators of Mayuko Kadono. A scholar is included among the top collaborators of Mayuko Kadono 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 Mayuko Kadono. Mayuko Kadono 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 2
2 0
3 12
4 21
5 24
6 26
7 32
8 6
9 102
10 11
11 9
12 4
13 6
14 22
15 9
16 23
17 9
18 48
19 93
20
[Effects of anti-androgens on sexual function. Double-blind comparative studies on allylestrenol and chlormadinone acetate. Part II: Self-assessment questionnaire method].
4

About Mayuko Kadono

Mayuko Kadono is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Reproductive Medicine, having authored 28 papers that have together received 611 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (9 papers), Diabetes Management and Research (5 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Nephrology (96 citations) and Sensory Systems (35 citations). Mayuko Kadono has collaborated with scholars based in Japan. Frequent co-authors include Michiaki Fukui, Goji Hasegawa, Naoto Nakamura, Toshikazu Yoshikawa, Muhei Tanaka, Yoshihiro Kitagawa, Mai Asano, Katsuya Wada, Hiroko Hosoda and Masahiro Yamazaki. Their work appears in journals such as Diabetes Care, Endocrinology and Nutrients.

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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