Akira Uruno

4.9k citations
85 papers · 3.4k indexed · h-index 33
Topics
Genomics, phytochemicals, and oxidative stress (20 papers)Peroxisome Proliferator-Activated Receptors (13 papers)Adipose Tissue and Metabolism (9 papers)
Journals
Journal of Biological ChemistryCirculationSHILAP Revista de lepidopterología
Partner nations
JapanUnited StatesChina

In The Last Decade

Akira Uruno

81 papers receiving 3.4k citations

Peers

Akira Uruno
Comparison fields: 5 of 121
  • Molecular Biology 2.1k
  • Physiology 582
  • Surgery 576
  • Endocrinology, Diabetes and Metabolism 525
  • Epidemiology 339
Replace Xiu‐Fen Ming with:
Xiu‐Fen Ming Switzerland
Weili Shen China
Colin J. Meyer United States
Ping Song China
Christopher J.B. Nicol Canada
Rafal R. Nazarewicz United States
Zoltán V. Varga Hungary
Rebecca J. Ford Canada
Chihiro Yabe‐Nishimura Japan
Cécile Vindis France
Akira Uruno relative to Xiu‐Fen Ming Switzerland Xiu‐Fen Ming's profile →
Citations per field
00.5×1.5×2.2×
Xiu‐Fen Ming · 1×
Citations per year

Countries citing papers authored by Akira Uruno

Since Specialization
Citations

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

Fields of papers citing papers by Akira Uruno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Uruno

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Uruno. A scholar is included among the top collaborators of Akira Uruno 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 Akira Uruno. Akira Uruno 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 0
4 1
5 3
6 3
7 1
8 67
9 19
10 11
11 16
12 18
13 14
14 17
15 15
16 35
17 8
18 163
19 16
20 41

About Akira Uruno

Akira Uruno is a scholar working on Biochemistry, Biological Psychiatry and Physiology, having authored 85 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (20 papers), Peroxisome Proliferator-Activated Receptors (13 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Endocrinology, Diabetes and Metabolism (525 citations) and Biochemistry (227 citations). Akira Uruno has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masayuki Yamamoto, Akira Sugawara, Yoko Yagishita, Sadayoshi Ito, Masataka Kudo, Hozumi Motohashi, Kazuhisa Takeuchi, Toshiaki Fukutomi, Kazunori Sato and Yoshihiro Taniyama. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

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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