Shutaro Ishimura

1.6k citations
19 papers · 1.2k · h-index 17

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 14
    • Adipokines, Inflammation, and Metabolic Diseases 6
    • Autophagy in Disease and Therapy 2

Shutaro Ishimura

19 papers receiving 1.2k citations

Peers

Shutaro Ishimura
Comparison fields: 5 of 96
  • Cardiology and Cardiovascular Medicine 289
  • Biochemistry 81
  • Endocrinology, Diabetes and Metabolism 173
  • Molecular Biology 673
  • Epidemiology 326
Replace Takahiro Fuseya with:
Takahiro Fuseya Japan
Despina Tsorotes Australia
Tlili Barhoumi Saudi Arabia
Tianshu Zeng China
Bianca Marmontel de Souza Brazil
Xiaohui Li China
Bronwyn Atcheson Australia
Vajir Malek India
Norihito Moniwa Japan
Antigoni Miliou Greece
Shutaro Ishimura relative to Takahiro Fuseya Japan Takahiro Fuseya's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Shutaro Ishimura

Since Specialization
Citations

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

Fields of papers citing papers by Shutaro Ishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014194
2 2013118
3 2016103
4 201189
5 201185
6 201284
7 201482
8 201482
9 201470
10 201751
11 201545
12 201644
13 201544
14 201541
15 201436
16 201430
17 201125
18 201413
19 20121

About Shutaro Ishimura

Shutaro Ishimura is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (14 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cardiovascular Disease and Adiposity (2 papers), Hormonal Regulation and Hypertension (2 papers), Adipose Tissue and Metabolism (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (289 citations), Biochemistry (81 citations), Endocrinology, Diabetes and Metabolism (173 citations), Molecular Biology (673 citations) and Epidemiology (326 citations). Shutaro Ishimura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tetsuji Miura, Masato Furuhashi, Takahiro Fuseya, Marenao Tanaka, Hideaki Yoshida, Tomohiro Mita, Yuki Watanabe, Kyoko Hoshina, Hideki Ota and Kazuaki Shimamoto. Their work appears in journals such as PLoS ONE, American Journal of Hypertension, Cardiovascular Diabetology, Scientific Reports and Journal of Hypertension.

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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