Morio Azuma

968 citations
48 papers · 783 · h-index 14

Impact in

Papers in

Morio Azuma

45 papers receiving 780 citations

Peers

Morio Azuma
Comparison fields: 5 of 80
  • Endocrine and Autonomic Systems 307
  • Physiology 84
  • Aquatic Science 134
  • Reproductive Medicine 92
  • Cellular and Molecular Neuroscience 198
Replace Ana I. Valenciano with:
Ana I. Valenciano Spain
Sho Kakizawa Japan
Mauro Vallarino Italy
Michael C. Jeziorski Mexico
Pascaline Gaildrat France
Carla Lucini Italy
Haruko Uemura Japan
Elisa Sánchez Spain
Fátima Adrio Spain
Flávio S. J. de Souza Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Morio Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Morio Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Morio Azuma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Morio Azuma Line = papers co-authored together Morio Azuma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012132
2 201193
3 201263
4 201263
5 201243
6 201034
7 201030
8 201126
9 201225
10 200919
11 201618
12 202118
13
Effect of epidermal growth factor/transforming growth factor alpha and transforming growth factor beta 1 on growth in vitro of rat urinary bladder carcinoma cells.
199216
14 201713
15 201013
16 200912
17 201412
18 201512
19 201611
20 201711

About Morio Azuma

Morio Azuma is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 783 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (15 papers), Neuropeptides and Animal Physiology (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Fibroblast Growth Factor Research (6 papers), Neuroendocrine regulation and behavior (5 papers), Hypothalamic control of reproductive hormones (5 papers), Sleep and Wakefulness Research (4 papers) and TGF-β signaling in diseases (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (307 citations), Physiology (84 citations), Aquatic Science (134 citations), Reproductive Medicine (92 citations) and Cellular and Molecular Neuroscience (198 citations). Morio Azuma has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Kouhei Matsuda, Ki Sung Kang, Minoru Uchiyama, Takashi Yashiro, Motoshi Kikuchi, Ken Fujiwara, Sho Maejima, Kenji K. Kojima, Seiji Shioda and Takehiro Tsukada. Their work appears in journals such as Cell and Tissue Research, Peptides, Biochemical and Biophysical Research Communications, Journal of Neuroendocrinology and Journal of Endocrinology.

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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