Kazuhiko Okada
- Immunology top 10%
- Oncology
- Molecular Biology
- Hepatology top 10%
- Surgery
- Co-authors
- Yukihiro ShimizuAkiharu WatanabeKiyohiro HiguchiYoshiro KashiiShuji NambuMegumi MiyamotoS NagashimaKazuaki Chikamatsu
- Topics
- Liver Disease Diagnosis and Treatment (6 papers)Immune Cell Function and Interaction (6 papers)Immunotherapy and Immune Responses (6 papers)
- Cited by
- ImmunologyHepatologyOncology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kazuhiko Okada
27 papers receiving 485 citations
Peers
Comparison fields: 5 of 60
- Immunology 251
- Oncology 226
- Molecular Biology 103
- Hepatology 92
- Surgery 82
Countries citing papers authored by Kazuhiko Okada
This map shows the geographic impact of Kazuhiko 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 Kazuhiko Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiko Okada more than expected).
Fields of papers citing papers by Kazuhiko Okada
This network shows the impact of papers produced by Kazuhiko 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 Kazuhiko Okada. The network helps show where Kazuhiko Okada may publish in the future.
Co-authorship network of co-authors of Kazuhiko Okada
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiko Okada. A scholar is included among the top collaborators of Kazuhiko 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 Kazuhiko Okada. Kazuhiko 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 105 | |
| 6 | Genetic Analysis of Restriction Fragment Length Polymorphism on the Fatty Acid Synthesis in Soybean Mutants and Their Progenies: I. Low linolenic acid mutants with a microsomal ω-3 fatty acid desaturase cDNA as a probe | 6 |
| 7 | 6 | |
| 8 | 101 | |
| 9 | 1 | |
| 10 | Human tumor antigen-specific T lymphocytes and interleukin-2-activated natural killer cells: comparisons of antitumor effects in vitro and in vivo. | 26 |
| 11 | 24 | |
| 12 | 11 | |
| 13 | Characteristics of MHC antigen expression and tumor-infiltrating mononuclear cells in renal cell adenomas and carcinomas. | 14 |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 74 | |
| 19 | Induction by OK-432 of lymphokine activated killer precursor cells in hepatocellular carcinoma. | 2 |
| 20 | 3 |
About Kazuhiko Okada
Kazuhiko Okada is a scholar working on Hepatology, Immunology and Biotechnology, having authored 30 papers that have together received 496 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (251 citations), Hepatology (92 citations) and Oncology (226 citations). Kazuhiko Okada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yukihiro Shimizu, Akiharu Watanabe, Kiyohiro Higuchi, Yoshiro Kashii, Shuji Nambu, Megumi Miyamoto, S Nagashima, Kazuaki Chikamatsu, T L Whiteside and Masami Minemura. Their work appears in journals such as Hepatology, Journal of Hepatology and Journal of Gastroenterology and Hepatology.
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.