Mitsuo Itakura

173 papers receiving 5.0k citations

Peers

Mitsuo Itakura
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Genetics 1.0k
  • Molecular Biology 2.4k
  • Immunology 689
  • Nephrology 198
Replace William H. Hoffman with:
William H. Hoffman United States
Holger Luthman Sweden
Ken–ichi Yamamura Japan
Monika Stoll Germany
William M. Philbrick United States
Linda C. Samuelson United States
Isabella Ceccherini Italy
Gérald J. Prud’homme Canada
Martha Kirby United States
Kimi Araki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mitsuo Itakura

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuo Itakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitsuo Itakura, 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 Mitsuo Itakura Line = papers co-authored together Mitsuo Itakura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005240
2 1984209
3 1999197
4 2010195
5 2004131
6 1998126
7 1993119
8 1994116
9 2004114
10 200997
11 200788
12 199688
13 200683
14 200583
15 200782
16 199882
17 199577
18 199876
19 200271
20 201067

About Mitsuo Itakura

Mitsuo Itakura is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 175 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (32 papers), Biochemical and Molecular Research (22 papers), Diabetes and associated disorders (14 papers), Pituitary Gland Disorders and Treatments (11 papers), Neuroendocrine Tumor Research Advances (11 papers), HIV/AIDS drug development and treatment (8 papers), Neuroblastoma Research and Treatments (8 papers) and Metabolism and Genetic Disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Genetics (1.0k citations), Molecular Biology (2.4k citations), Immunology (689 citations) and Nephrology (198 citations). Mitsuo Itakura has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Katsuhiko Yoshimoto, Takashi Yamaoka, Hiroyuki Iwahana, Maki Moritani, Hiroshi Inoue, Kamejiro Yamashita, Toshiaki Sano, Koichi Kawai, Rumi Katashima and Yukiko Sakamoto. Their work appears in journals such as Biochemical and Biophysical Research Communications, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Journal of Biological Chemistry and Clinical 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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