Naoki Osada
Impact in
- Immunology top 5%
- Aquaculture disease management and microbiota
- interferon and immune responses
- Genetics top 5%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
Papers in
-
- Genomics and Phylogenetic Studies 18
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 6
- Genetics 35
- Genetic diversity and population structure 18
- Evolution and Genetic Dynamics 9
- Co-authors
- Osamu Yoshie (5 shared papers)Hisayuki Nomiyama (5 shared papers)Hiroshi Akashi (2 shared papers)Chung‐I Wu (3 shared papers)Tomoko Ohta (1 shared paper)Katsuyuki Hashimoto (12 shared papers)Kentaro Hanada (6 shared papers)Toshiyuki Yamaji (5 shared papers)
- Journals
- Molecular Biology and Evolution (7 papers)BMC Genomics (5 papers)Genome Biology and Evolution (5 papers)Gene (5 papers)PLoS ONE (4 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Naoki Osada
88 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 131
- Immunology 490
- Genetics 632
- Oncology 417
- Virology 66
- Molecular Biology 916
Countries citing papers authored by Naoki Osada
This map shows the geographic impact of Naoki Osada'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 Naoki Osada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Osada more than expected).
Fields of papers citing papers by Naoki Osada
This network shows the impact of papers produced by Naoki Osada. 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 Naoki Osada. The network helps show where Naoki Osada may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Osada, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 172 | |
| 2 | 2008 | 164 | |
| 3 | 2011 | 155 | |
| 4 | 2010 | 119 | |
| 5 | 2012 | 106 | |
| 6 | 2012 | 105 | |
| 7 | 2011 | 103 | |
| 8 | 2006 | 89 | |
| 9 | 2005 | 68 | |
| 10 | 2012 | 57 | |
| 11 | 2009 | 54 | |
| 12 | 2008 | 50 | |
| 13 | 2017 | 49 | |
| 14 | 2014 | 48 | |
| 15 | 2010 | 43 | |
| 16 | 2014 | 39 | |
| 17 | 2020 | 33 | |
| 18 | 2008 | 32 | |
| 19 | 2012 | 29 | |
| 20 | 2015 | 28 |
About Naoki Osada
Naoki Osada is a scholar working on Molecular Biology, Genetics, Plant Science, Oncology and Ecology, Evolution, Behavior and Systematics, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (18 papers), Genomics and Phylogenetic Studies (18 papers), Chromosomal and Genetic Variations (13 papers), Evolution and Genetic Dynamics (9 papers), CRISPR and Genetic Engineering (8 papers), Animal Behavior and Reproduction (7 papers), Primate Behavior and Ecology (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Immunology (490 citations), Genetics (632 citations), Oncology (417 citations), Virology (66 citations) and Molecular Biology (916 citations). Naoki Osada has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Osamu Yoshie, Hisayuki Nomiyama, Hiroshi Akashi, Chung‐I Wu, Tomoko Ohta, Katsuyuki Hashimoto, Kentaro Hanada, Toshiyuki Yamaji, Jun Kusuda and Yasuhiro Uno. Their work appears in journals such as Molecular Biology and Evolution, BMC Genomics, Genome Biology and Evolution, Gene and PLoS ONE.
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.