Masataka Kudo

8.0k citations
128 papers · 4.9k indexed · 1 hit paper · h-index 40
Topics
Hormonal Regulation and Hypertension (26 papers)Adrenal and Paraganglionic Tumors (18 papers)Endometrial and Cervical Cancer Treatments (12 papers)

In The Last Decade

Masataka Kudo

121 papers receiving 4.8k citations

Hit Papers

Activation of Orphan Receptors by the Hormone Relaxin20022026201020182002200400600

Peers

Masataka Kudo
Comparison fields: 5 of 113
  • Molecular Biology 1.8k
  • Surgery 1.1k
  • Public Health, Environmental and Occupational Health 1.1k
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Reproductive Medicine 1.0k
Replace Hirohisa Kurachi with:
Hirohisa Kurachi Japan
Shigehiko Mizutani Japan
Kazuto Nakamura Japan
Kevin Y. Lee United States
Gregorio D. Chazenbalk United States
Annemarie A. Donjacour United States
Geri Méduri France
Katherine F. Roby United States
Philippe Touraine France
Jaume Reventós Spain
Masataka Kudo relative to Hirohisa Kurachi Japan Hirohisa Kurachi's profile →
Citations per field
00.5×2.7×
Hirohisa Kurachi · 1×
Citations per year

Countries citing papers authored by Masataka Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Masataka Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masataka Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Masataka Kudo. A scholar is included among the top collaborators of Masataka Kudo 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 Masataka Kudo. Masataka Kudo 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 0
2 0
3 3
4 42
5 24
6 8
7 62
8 41
9 29
10 6
11 16
12 1
13 6
14 95
15 41
16
1
17 26
18 23
19 53
20 31

About Masataka Kudo

Masataka Kudo is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 128 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (26 papers), Adrenal and Paraganglionic Tumors (18 papers) and Endometrial and Cervical Cancer Treatments (12 papers). The work is most often cited by research in Reproductive Medicine (1.0k citations), Obstetrics and Gynecology (507 citations) and Endocrinology, Diabetes and Metabolism (1.0k citations). Masataka Kudo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Aaron J.W. Hsueh, Koji Nakabayashi, Sheau Yu Hsu, Sadayoshi Ito, Noriaki Sakuragi, Shinya Nishi, Jin Kumagai, O. D. Sherwood, Akira Uruno and Akira Sugawara. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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