Shun Ishibashi
- Molecular Biology top 0.5%
- Surgery top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Epidemiology top 0.5%
- Physiology top 0.5%
- Co-authors
- Jun-ichi OsugaNobuhiro YamadaHitoshi ShimanoNaoya YahagiKen OhashiTakanari GotodaYoko IizukaYoshiaki Tamura
- Topics
- Lipoproteins and Cardiovascular Health (68 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (68 papers)Cholesterol and Lipid Metabolism (61 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Shun Ishibashi
347 papers receiving 16.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 6.6k
- Surgery 6.4k
- Endocrinology, Diabetes and Metabolism 4.1k
- Epidemiology 3.2k
- Physiology 3.0k
Countries citing papers authored by Shun Ishibashi
This map shows the geographic impact of Shun Ishibashi'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 Shun Ishibashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun Ishibashi more than expected).
Fields of papers citing papers by Shun Ishibashi
This network shows the impact of papers produced by Shun Ishibashi. 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 Shun Ishibashi. The network helps show where Shun Ishibashi may publish in the future.
Co-authorship network of co-authors of Shun Ishibashi
This figure shows the co-authorship network connecting the top 25 collaborators of Shun Ishibashi. A scholar is included among the top collaborators of Shun Ishibashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shun Ishibashi. Shun Ishibashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | Abstract 17336: Marked Increase of Plasma Fibroblast Growth Factor 21 in Dyslipidemic Patients Treated With K-877, a Novel Highly Potent and Specific Peroxisome Proliferator-Activated Receptor Alpha Agonist | 2 |
| 15 | 15 | |
| 16 | 53 | |
| 17 | 50 | |
| 18 | 4 | |
| 19 | [Perspective of gene therapy in hyperlipoproteinemia]. | 1 |
| 20 | Studies on the structural dynamics of natural forest based on a simulation model. | 3 |
About Shun Ishibashi
Shun Ishibashi is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cancer Research, having authored 360 papers that have together received 17.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (68 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (68 papers) and Cholesterol and Lipid Metabolism (61 papers). The work is most often cited by research in Biochemistry (2.2k citations), Endocrinology, Diabetes and Metabolism (4.1k citations) and Cancer Research (2.3k citations). Shun Ishibashi has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Jun-ichi Osuga, Nobuhiro Yamada, Hitoshi Shimano, Naoya Yahagi, Ken Ohashi, Takanari Gotoda, Yoko Iizuka, Yoshiaki Tamura, Joachim Herz and Kenji Harada. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.