K Oda
Impact in
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 2
- Genetics 10
- Virus-based gene therapy research 9
- Co-authors
- Renato Dulbecco (1 shared paper)Susumu Nakada (4 shared papers)Tamie Nakajima (4 shared papers)Yoshiaki Nakagawa (1 shared paper)Nobuko Shindo‐Okada (1 shared paper)Susumu Nishimura (1 shared paper)Norihiro Okada (1 shared paper)Yuko Itoh (1 shared paper)
- Journals
- Journal of Virology (9 papers)Proceedings of the National Academy of Sciences (2 papers)Thrombosis and Haemostasis (2 papers)Molecular and Cellular Biology (2 papers)MedChemComm (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
K Oda
21 papers receiving 504 citations
Peers
Comparison fields: 5 of 69
- Genetics 184
- Immunology and Allergy 32
- Oncology 130
- Molecular Biology 326
- Hematology 42
Countries citing papers authored by K Oda
This map shows the geographic impact of K Oda'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 K Oda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Oda more than expected).
Fields of papers citing papers by K Oda
This network shows the impact of papers produced by K Oda. 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 K Oda. The network helps show where K Oda may publish in the future.
Co-authors
The 25 scholars most cited alongside K Oda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1968 | 116 | |
| 2 | 1978 | 69 | |
| 3 | 1992 | 60 | |
| 4 | 1996 | 50 | |
| 5 | 1987 | 45 | |
| 6 | 1992 | 39 | |
| 7 | 1993 | 27 | |
| 8 | 1983 | 24 | |
| 9 | Adenovirus E1A-induced apoptosis elicits a steep decrease in the topoisomerase II alpha level during the latent phase. | 1995 | 21 |
| 10 | 1981 | 20 | |
| 11 | 1992 | 19 | |
| 12 | 1987 | 15 | |
| 13 | 1975 | 12 | |
| 14 | 2017 | 7 | |
| 15 | 1978 | 7 | |
| 16 | 1984 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 1983 | 4 | |
| 20 | Comparison of plasma levels and excretory routes between No. 189 and No. 407, potent thrombin inhibitors. | 1980 | 2 |
About K Oda
K Oda is a scholar working on Molecular Biology, Genetics, Oncology, Surgery and Hematology, having authored 24 papers that have together received 554 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Platelet Disorders and Treatments (3 papers), Polyomavirus and related diseases (3 papers), RNA Interference and Gene Delivery (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Bacteriophages and microbial interactions (2 papers), CAR-T cell therapy research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (184 citations), Immunology and Allergy (32 citations), Oncology (130 citations), Molecular Biology (326 citations) and Hematology (42 citations). K Oda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Renato Dulbecco, Susumu Nakada, Tamie Nakajima, Yoshiaki Nakagawa, Nobuko Shindo‐Okada, Susumu Nishimura, Norihiro Okada, Yuko Itoh, Seigo Sato and Kazuo Maruyama. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Thrombosis and Haemostasis, Molecular and Cellular Biology and MedChemComm.
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.