Akimasa Okuno

1.8k citations
80 papers · 1.3k indexed · h-index 21
Topics
Growth Hormone and Insulin-like Growth Factors (11 papers)Hypothalamic control of reproductive hormones (7 papers)Thyroid Disorders and Treatments (6 papers)

In The Last Decade

Akimasa Okuno

80 papers receiving 1.3k citations

Peers

Akimasa Okuno
Comparison fields: 5 of 107
  • Molecular Biology 373
  • Genetics 352
  • Endocrinology, Diabetes and Metabolism 337
  • Reproductive Medicine 212
  • Surgery 167
Replace T. Yamamoto with:
T. Yamamoto Japan
William B. Zipf United States
John I. Numberger United States
Toshiaki Tachibana Japan
Carmel J. Hillyard United Kingdom
Yasue Kubota Japan
Richard Berkowitz United States
Gail E. Richards United States
Bilgin Yüksel Türkiye
Olav Trygstad Norway
Akimasa Okuno relative to T. Yamamoto Japan T. Yamamoto's profile →
Citations per field
00.5×2.5×
T. Yamamoto · 1×
Citations per year

Countries citing papers authored by Akimasa Okuno

Since Specialization
Citations

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

Fields of papers citing papers by Akimasa Okuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akimasa Okuno

This figure shows the co-authorship network connecting the top 25 collaborators of Akimasa Okuno. A scholar is included among the top collaborators of Akimasa Okuno 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 Akimasa Okuno. Akimasa Okuno 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 8
2 17
3 77
4 9
5 20
6 6
7 2
8 6
9 2
10 15
11 1
12 11
13 3
14 14
15 54
16 20
17 15
18 27
19 17
20 20

About Akimasa Okuno

Akimasa Okuno is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Hypothalamic control of reproductive hormones (7 papers) and Thyroid Disorders and Treatments (6 papers). The work is most often cited by research in Reproductive Medicine (212 citations), Endocrinology, Diabetes and Metabolism (337 citations) and Endocrine and Autonomic Systems (117 citations). Akimasa Okuno has collaborated with scholars based in Japan, United States and Cameroon. Frequent co-authors include Koichi Yano, Akie Miyamoto, Junichi Oki, Yoshiya Ito, Yoshio Makita, Hiroshi Azuma, Naoki Suzuki, Motoyasu Saji, Leonard D. Kohn and Satoru Takahashi. Their work appears in journals such as New England Journal of Medicine, The Lancet and Blood.

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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