S Okada
- Hepatology top 0.5%
- Epidemiology top 1%
- Rheumatology top 5%
- Infectious Diseases top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Hiroaki OkamotoKiyohiko KuraiYuichi SugiyamaY. MiyakawaY. AkahaneYoshiki SugaiToru TanakaKoei Sato
- Topics
- Hepatitis C virus research (4 papers)Hepatitis B Virus Studies (3 papers)Viral gastroenteritis research and epidemiology (2 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsEndocrinologyJournal of Clinical Microbiology
- Partner nations
- JapanUnited States
In The Last Decade
S Okada
12 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Hepatology 1.9k
- Epidemiology 1.7k
- Rheumatology 341
- Infectious Diseases 245
- Endocrine and Autonomic Systems 240
Countries citing papers authored by S Okada
This map shows the geographic impact of S Okada'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 S Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Okada more than expected).
Fields of papers citing papers by S Okada
This network shows the impact of papers produced by S Okada. 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 S Okada. The network helps show where S Okada may publish in the future.
Co-authorship network of co-authors of S Okada
This figure shows the co-authorship network connecting the top 25 collaborators of S Okada. A scholar is included among the top collaborators of S Okada 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 S Okada. S Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 278 | |
| 2 | Early diagnosis of pancreatic cancer. | 5 |
| 3 | 14 | |
| 4 | [The Somatropin Reference Standard (Control 951) of the National Institute of Health Sciences]. | 1 |
| 5 | [The Human Menopausal Gonadotrophin Reference Standard (Control 961) of the National Institute of Health Sciences]. | 1 |
| 6 | 76 | |
| 7 | 3 | |
| 8 | Typing hepatitis C virus by polymerase chain reaction with type-specific primers: application to clinical surveys and tracing infectious sourcesbreakdown → | 1123 |
| 9 | 429 | |
| 10 | Detection of hepatitis C virus RNA by a two-stage polymerase chain reaction with two pairs of primers deduced from the 5'-noncoding region. | 467 |
| 11 | 51 | |
| 12 | [Determination of nicotinic acid in injections by high-performance liquid chromatography]. | 1 |
| 13 | 39 |
About S Okada
S Okada is a scholar working on Hepatology, Transplantation and Animal Science and Zoology, having authored 13 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Hepatology (1.9k citations), Epidemiology (1.7k citations) and Endocrine and Autonomic Systems (240 citations). S Okada has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroaki Okamoto, Kiyohiko Kurai, Yuichi Sugiyama, Y. Miyakawa, Y. Akahane, Yoshiki Sugai, Toru Tanaka, Koei Sato, M Mayumi and Fumio Tsuda. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology and Journal of Clinical Microbiology.
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.