Masaki Igarashi
- Molecular Biology
- Physiology top 10%
- Surgery
- Oncology
- Geriatrics and Gerontology top 2%
- Co-authors
- Leonard GuarenteMotohiro SekiyaTakashi KadowakiShun IshibashiJun-ichi OsugaHiroaki OkazakiAngeliki ChalkiadakiJovana Knežević
- Topics
- Cholesterol and Lipid Metabolism (10 papers)Lipid metabolism and biosynthesis (8 papers)Sirtuins and Resveratrol in Medicine (7 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Masaki Igarashi
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 473
- Physiology 280
- Surgery 229
- Oncology 173
- Geriatrics and Gerontology 156
Countries citing papers authored by Masaki Igarashi
This map shows the geographic impact of Masaki Igarashi'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 Masaki Igarashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Igarashi more than expected).
Fields of papers citing papers by Masaki Igarashi
This network shows the impact of papers produced by Masaki Igarashi. 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 Masaki Igarashi. The network helps show where Masaki Igarashi may publish in the future.
Co-authorship network of co-authors of Masaki Igarashi
This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Igarashi. A scholar is included among the top collaborators of Masaki Igarashi 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 Masaki Igarashi. Masaki Igarashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 60 | |
| 4 | 104 | |
| 5 | 226 | |
| 6 | 102 | |
| 7 | 34 | |
| 8 | 97 | |
| 9 | 34 | |
| 10 | 51 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 49 | |
| 15 | 47 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | [Clinical usefulness of 123I-MIBG myocardial SPECT in patients with adriamycin-induced cardiomyopathy]. | 5 |
| 19 | 1 | |
| 20 | [Estimation of myocardial sympathetic neuronal function with I-123 metaiodobenzylguanidine (MIBG) in patients with acute myocardial infarction undergoing percutaneous transluminal coronary thrombolysis (PTCR)]. | 1 |
About Masaki Igarashi
Masaki Igarashi is a scholar working on Geriatrics and Gerontology, Biochemistry and Aging, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (10 papers), Lipid metabolism and biosynthesis (8 papers) and Sirtuins and Resveratrol in Medicine (7 papers). The work is most often cited by research in Geriatrics and Gerontology (156 citations), Aging (65 citations) and Biochemistry (110 citations). Masaki Igarashi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Leonard Guarente, Motohiro Sekiya, Takashi Kadowaki, Shun Ishibashi, Jun-ichi Osuga, Hiroaki Okazaki, Angeliki Chalkiadaki, Jovana Knežević, Armiyaw S. Nasamu and Takashi Satoh. Their work appears in journals such as Cell, Journal of Biological Chemistry and Circulation.
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.