Mitsuo Itakura

7.6k citations
175 papers · 5.2k indexed · h-index 40

Impact in

Papers in

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
Mitsuo Itakura relative to William H. Hoffman United States William H. Hoffman's profile →
Citations per field
00.5×1.5×
William H. Hoffman · 1×
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-authorship network

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
#Work
1 201110
2 2010195
3
Positive association of the pericentrin (PCNT) gene with major depressive disorder in the Japanese population.
200923
4 20099
5 200997
6 200727
7 20067
8 200683
9 200523
10 20051
11 200211
12 200271
13 200021
14 1999197
15 199865
16 199718
17 199512
18 19947
19 199114
20 19891

About Mitsuo Itakura

Mitsuo Itakura is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Nephrology, Genetics and Molecular Biology, 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), Neuroblastoma Research and Treatments (8 papers), Metabolism and Genetic Disorders (8 papers) and HIV/AIDS drug development and treatment (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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