Yoshio Aizawa
- Epidemiology top 5%
- Hepatology top 1%
- Molecular Biology
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Gerald C. MuellerJohn GorskiHiroshi KogoHiroshi AbeMikio ZeniyaGotaro TodaAtsushi HokariNorihisa Inazu
- Topics
- Liver Disease Diagnosis and Treatment (43 papers)Hepatitis C virus research (36 papers)Estrogen and related hormone effects (28 papers)
- Cited by
- HepatologyEpidemiologyPharmacology
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Yoshio Aizawa
130 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Epidemiology 581
- Hepatology 547
- Molecular Biology 277
- Genetics 193
- Endocrinology, Diabetes and Metabolism 126
Countries citing papers authored by Yoshio Aizawa
This map shows the geographic impact of Yoshio Aizawa'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 Yoshio Aizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshio Aizawa more than expected).
Fields of papers citing papers by Yoshio Aizawa
This network shows the impact of papers produced by Yoshio Aizawa. 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 Yoshio Aizawa. The network helps show where Yoshio Aizawa may publish in the future.
Co-authorship network of co-authors of Yoshio Aizawa
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshio Aizawa. A scholar is included among the top collaborators of Yoshio Aizawa 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 Yoshio Aizawa. Yoshio Aizawa 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 | An open clinical study of tebipenem pivoxil in children with acute otitis media and acute upper respiratory tract infection (phase II) | 1 |
| 3 | An open clinical study of tebipenem pivoxil in children with bacterial pneumonia | 3 |
| 4 | Single Nucleotide Polymorphisms in the Interleukin-10 Gene Promoter and Clinical Outcome of Chronic Hepatitis C Virus Infection (Original) | 5 |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 2 |
About Yoshio Aizawa
Yoshio Aizawa is a scholar working on Hepatology, Biochemistry and Epidemiology, having authored 157 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (43 papers), Hepatitis C virus research (36 papers) and Estrogen and related hormone effects (28 papers). The work is most often cited by research in Hepatology (547 citations), Epidemiology (581 citations) and Pharmacology (89 citations). Yoshio Aizawa has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Gerald C. Mueller, John Gorski, Hiroshi Kogo, Hiroshi Abe, Mikio Zeniya, Gotaro Toda, Atsushi Hokari, Norihisa Inazu, Noritomo Shimada and Ichiro Takagi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer.
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.