Naruya Saitou
- Microbiology top 0.05%
- Ecology top 0.02%
- Molecular Biology top 0.02%
- Genomics and Phylogenetic Studies 62
- RNA and protein synthesis mechanisms 20
- Genomics and Chromatin Dynamics 19
- Plant Science top 0.02%
- Chromosomal and Genetic Variations 20
- Genetics top 0.02%
- Genetic diversity and population structure 42
- Forensic and Genetic Research 32
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- Blood groups and transfusion 26
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- Erythrocyte Function and Pathophysiology 11
- Co-authors
- M NeiTadashi ImanishiKeiichi OmotoTakashi KitanoMasatoshi NeiJ. C. StephensFumiichiro YamamotoTimothy A. Jinam
- Cited by
- MicrobiologyEcologyMolecular Biology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Naruya Saitou
197 papers receiving 56.8k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Microbiology 726
- Ecology 12.8k
- Molecular Biology 30.6k
- Plant Science 14.6k
- Genetics 10.8k
Countries citing papers authored by Naruya Saitou
This map shows the geographic impact of Naruya Saitou'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 Naruya Saitou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naruya Saitou more than expected).
Fields of papers citing papers by Naruya Saitou
This network shows the impact of papers produced by Naruya Saitou. 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 Naruya Saitou. The network helps show where Naruya Saitou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naruya Saitou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2022 | 13 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 10 | |
| 6 | 2017 | 1 | |
| 7 | 2014 | 11 | |
| 8 | 2013 | 1 | |
| 9 | 2013 | 15 | |
| 10 | 2011 | 4 | |
| 11 | 2011 | 96 | |
| 12 | 2009 | 1 | |
| 13 | 2007 | 17 | |
| 14 | 2003 | 1 | |
| 15 | 2000 | 35 | |
| 16 | Genetic diversity of the human serotonin receptor 1B (HTR1B). | 2000 | 2 |
| 17 | 1997 | 1 | |
| 18 | 1996 | 2 | |
| 19 | 1989 | 27 | |
| 20 | 1986 | 12 |
About Naruya Saitou
Naruya Saitou is a scholar working on Genetics, Hematology and Molecular Biology, having authored 199 papers that have together received 58.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (62 papers), Genetic diversity and population structure (42 papers), Forensic and Genetic Research (32 papers), Blood groups and transfusion (26 papers), RNA and protein synthesis mechanisms (20 papers), Chromosomal and Genetic Variations (20 papers), Genomics and Chromatin Dynamics (19 papers) and Erythrocyte Function and Pathophysiology (11 papers). The work is most often cited by research in Microbiology (726 citations), Ecology (12.8k citations) and Molecular Biology (30.6k citations). Naruya Saitou has collaborated with scholars based in Japan, United States and China. Frequent co-authors include M Nei, Tadashi Imanishi, Keiichi Omoto, Takashi Kitano, Masatoshi Nei, J. C. Stephens, Fumiichiro Yamamoto, Timothy A. Jinam, Shintaroh Ueda and Kenta Sumiyama. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.