Takuya Naruto
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
Papers in
-
- RNA modifications and cancer 9
- Genetics 41
- Genomic variations and chromosomal abnormalities 11
- Genomics and Rare Diseases 9
- Genetics and Neurodevelopmental Disorders 9
- Genetic Syndromes and Imprinting 7
- Co-authors
- Shumpei Yokota (25 shared papers)Masaaki Mori (24 shared papers)Issei Imoto (31 shared papers)Tomoyuki Imagawa (15 shared papers)Kiyoshi Masuda (25 shared papers)Kenji Kurosawa (34 shared papers)Takako Miyamae (11 shared papers)Tomohiro Kohmoto (22 shared papers)
- Journals
- Modern Rheumatology (8 papers)Journal of Virology (4 papers)Oncotarget (4 papers)PLoS ONE (4 papers)International Journal of Hematology (3 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takuya Naruto
99 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Virology 164
- Immunology 452
- Hematology 191
- Genetics 404
- Transplantation 23
Countries citing papers authored by Takuya Naruto
This map shows the geographic impact of Takuya Naruto'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 Takuya Naruto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Naruto more than expected).
Fields of papers citing papers by Takuya Naruto
This network shows the impact of papers produced by Takuya Naruto. 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 Takuya Naruto. The network helps show where Takuya Naruto may publish in the future.
Co-authors
The 25 scholars most cited alongside Takuya Naruto, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 66 | |
| 2 | 2011 | 59 | |
| 3 | 2005 | 58 | |
| 4 | 2019 | 58 | |
| 5 | 2009 | 51 | |
| 6 | 2015 | 48 | |
| 7 | 2020 | 44 | |
| 8 | 2017 | 44 | |
| 9 | 2016 | 43 | |
| 10 | 2010 | 42 | |
| 11 | 2014 | 41 | |
| 12 | 2012 | 40 | |
| 13 | 2009 | 40 | |
| 14 | 2010 | 35 | |
| 15 | 2001 | 31 | |
| 16 | 2012 | 30 | |
| 17 | 2014 | 27 | |
| 18 | 2013 | 26 | |
| 19 | 2014 | 26 | |
| 20 | 2015 | 26 |
About Takuya Naruto
Takuya Naruto is a scholar working on Molecular Biology, Genetics, Immunology, Hematology and Oncology, having authored 114 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (11 papers), Immune Cell Function and Interaction (10 papers), Autoimmune and Inflammatory Disorders Research (9 papers), Genomics and Rare Diseases (9 papers), RNA modifications and cancer (9 papers), Genetics and Neurodevelopmental Disorders (9 papers), T-cell and B-cell Immunology (8 papers) and Genetic Syndromes and Imprinting (7 papers). The work is most often cited by research in Virology (164 citations), Immunology (452 citations), Hematology (191 citations), Genetics (404 citations) and Transplantation (23 citations). Takuya Naruto has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Shumpei Yokota, Masaaki Mori, Issei Imoto, Tomoyuki Imagawa, Kiyoshi Masuda, Kenji Kurosawa, Takako Miyamae, Tomohiro Kohmoto, Masafumi Takiguchi and Hiroaki Goto. Their work appears in journals such as Modern Rheumatology, Journal of Virology, Oncotarget, PLoS ONE and International Journal of Hematology.
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.