Akihiko Okuda
- Molecular Biology top 2%
- Genetics top 2%
- Cancer Research top 5%
- Oncology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Masami MuramatsuMasazumi NishimotoMasaharu SakaiM SakaiHitoshi OkazawaHiroshi HamadaKoji OkamotoHitoshi Niwa
- Topics
- Pluripotent Stem Cells Research (34 papers)CRISPR and Genetic Engineering (28 papers)Renal and related cancers (11 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akihiko Okuda
66 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 3.8k
- Genetics 762
- Cancer Research 525
- Oncology 345
- Public Health, Environmental and Occupational Health 327
Countries citing papers authored by Akihiko Okuda
This map shows the geographic impact of Akihiko Okuda'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 Akihiko Okuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiko Okuda more than expected).
Fields of papers citing papers by Akihiko Okuda
This network shows the impact of papers produced by Akihiko Okuda. 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 Akihiko Okuda. The network helps show where Akihiko Okuda may publish in the future.
Co-authorship network of co-authors of Akihiko Okuda
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Okuda. A scholar is included among the top collaborators of Akihiko Okuda 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 Akihiko Okuda. Akihiko Okuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 39 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 59 | |
| 8 | 16 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 55 | |
| 13 | 41 | |
| 14 | Pluripotency governed by Sox2 via regulation of Oct3/4 expression in mouse embryonic stem cellsbreakdown → | 900 |
| 15 | 80 | |
| 16 | Empty E1–, E3–, E4+ and Empty E1–, E3–, E4– Adenoviral Vectors Inhibit Retinal Neovascularization | 1 |
| 17 | 83 | |
| 18 | 19 | |
| 19 | 29 | |
| 20 | 4 |
About Akihiko Okuda
Akihiko Okuda is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research, having authored 69 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (34 papers), CRISPR and Genetic Engineering (28 papers) and Renal and related cancers (11 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Developmental Neuroscience (145 citations) and Cancer Research (525 citations). Akihiko Okuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masami Muramatsu, Masazumi Nishimoto, Masaharu Sakai, M Sakai, Hitoshi Okazawa, Hiroshi Hamada, Koji Okamoto, Hitoshi Niwa, Akiko Fukushima and Shinji Masui. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.