Akira Shouzu
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Immunology top 10%
- Surgery
- Co-authors
- Shosaku� NomuraMitsushige NishikawaToshiji IwasakaSeitaro OmotoSeitarou OmotoS FukuharaNorihito InamiShirou Fukuhara
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (10 papers)Platelet Disorders and Treatments (7 papers)Atherosclerosis and Cardiovascular Diseases (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetologiaClinical Chemistry
- Partner nations
- JapanUnited States
In The Last Decade
Akira Shouzu
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 597
- Cardiology and Cardiovascular Medicine 423
- Epidemiology 265
- Immunology 259
- Surgery 217
Countries citing papers authored by Akira Shouzu
This map shows the geographic impact of Akira Shouzu'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 Akira Shouzu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Shouzu more than expected).
Fields of papers citing papers by Akira Shouzu
This network shows the impact of papers produced by Akira Shouzu. 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 Akira Shouzu. The network helps show where Akira Shouzu may publish in the future.
Co-authorship network of co-authors of Akira Shouzu
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Shouzu. A scholar is included among the top collaborators of Akira Shouzu 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 Akira Shouzu. Akira Shouzu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Effects of sarpogrelate, eicosapentaenoic acid and pitavastatin on arterioslcerosis obliterans-related biomarkers in patients with type 2 diabetes (SAREPITASO study) | 1 |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 91 | |
| 6 | 25 | |
| 7 | 46 | |
| 8 | 42 | |
| 9 | 42 | |
| 10 | 60 | |
| 11 | 36 | |
| 12 | 38 | |
| 13 | 79 | |
| 14 | 54 | |
| 15 | 26 | |
| 16 | 29 | |
| 17 | 97 | |
| 18 | 84 | |
| 19 | 14 | |
| 20 | 2 |
About Akira Shouzu
Akira Shouzu is a scholar working on Hematology, Immunology and Allergy and Internal Medicine, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Platelet Disorders and Treatments (7 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). The work is most often cited by research in Internal Medicine (83 citations), Cardiology and Cardiovascular Medicine (423 citations) and Hematology (170 citations). Akira Shouzu has collaborated with scholars based in Japan and United States. Frequent co-authors include Shosaku� Nomura, Mitsushige Nishikawa, Toshiji Iwasaka, Seitaro Omoto, Seitarou Omoto, S Fukuhara, Norihito Inami, Shirou Fukuhara, Fumiaki Urase and Yutaka Kimura. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetologia and Clinical 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.