Akimasa Okuno

1.8k total citations
80 papers, 1.3k citations indexed

About

Akimasa Okuno is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Akimasa Okuno has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Akimasa Okuno's 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). Akimasa Okuno is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (11 papers), Hypothalamic control of reproductive hormones (7 papers) and Thyroid Disorders and Treatments (6 papers). Akimasa Okuno collaborates with scholars based in Japan, United States and Cameroon. Akimasa Okuno's 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 and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Blood.

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
Toshio Ogura Japan
Richard Berkowitz United States
A. M. Lawrence United States
Peter Riskind United States
John I. Numberger United States
Marianne J. Reymond Switzerland
Louisa Laue United States
Olav Trygstad Norway
Carmel J. Hillyard United Kingdom
T. Yamamoto Japan View profile →
Citations per field, relative to Akimasa Okuno
Akimasa Okuno · 1×
Citations per year, relative to Akimasa Okuno
Akimasa Okuno · 1×

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
# Work Indexed 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

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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