Yūji Shimizu
- Rheumatology top 1%
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling 12
- Oncology top 2%
- Cancer Research top 5%
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- Cardiovascular Health and Disease Prevention 33
- Cardiovascular Disease and Adiposity 15
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- Adipokines, Inflammation, and Metabolic Diseases 21
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- Nutrition and Health in Aging 20
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- Atherosclerosis and Cardiovascular Diseases 14
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- Thyroid Disorders and Treatments 12
- Diabetes, Cardiovascular Risks, and Lipoproteins 10
- Co-authors
- Akira YamaguchiRoderick T. BronsonYun GaoShusaku YoshikiYukihiko KitamuraMotohiko SatoKoichi SasakiT Kishimoto
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Yūji Shimizu
227 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Rheumatology 935
- Molecular Biology 3.8k
- Oncology 1.4k
- Orthopedics and Sports Medicine 408
- Cancer Research 612
Countries citing papers authored by Yūji Shimizu
This map shows the geographic impact of Yūji Shimizu'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 Yūji Shimizu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yūji Shimizu more than expected).
Fields of papers citing papers by Yūji Shimizu
This network shows the impact of papers produced by Yūji Shimizu. 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 Yūji Shimizu. The network helps show where Yūji Shimizu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yūji Shimizu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 1 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 66 | |
| 14 | 2017 | 9 | |
| 15 | 2015 | 21 | |
| 16 | 2014 | 4 | |
| 17 | 2003 | 1 | |
| 18 | 2001 | 2 | |
| 19 | Functional FceRIa expression on human bone marrow-derived mast cells cultured with SCF+IL-6 - Essential role of IL-3 for function and granule contents | 1999 | 21 |
| 20 | 1999 | 21 |
About Yūji Shimizu
Yūji Shimizu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Immunology, having authored 238 papers that have together received 7.0k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (33 papers), Adipokines, Inflammation, and Metabolic Diseases (21 papers), Nutrition and Health in Aging (20 papers), Cardiovascular Disease and Adiposity (15 papers), Atherosclerosis and Cardiovascular Diseases (14 papers), Thyroid Disorders and Treatments (12 papers), Receptor Mechanisms and Signaling (12 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). The work is most often cited by research in Rheumatology (935 citations), Molecular Biology (3.8k citations) and Oncology (1.4k citations). Yūji Shimizu has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Akira Yamaguchi, Roderick T. Bronson, Yun Gao, Shusaku Yoshiki, Yukihiko Kitamura, Motohiko Sato, Koichi Sasaki, T Kishimoto, Shogo Nomura and Ryoko Okamoto. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.
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.