Takaharu Ueno
- Virology top 5%
- HIV Research and Treatment 4
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 10
- Immunology top 10%
- T-cell and Retrovirus Studies 11
-
- Vector-Borne Animal Diseases 9
-
- HIV/AIDS drug development and treatment 4
-
- Virus-based gene therapy research 4
-
- Cervical Cancer and HPV Research 2
-
- Polyomavirus and related diseases 2
- Co-authors
- Masakazu TanakaAkinori IshimotoTomomi NakaharaHiroyuki SakaiAkiko NishimuraJun–ichi FujisawaKaori AsamitsuYurina Hibi
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takaharu Ueno
26 papers receiving 455 citations
Peers
Comparison fields: 5 of 64
- Virology 100
- Agronomy and Crop Science 123
- Immunology 221
- Ecology, Evolution, Behavior and Systematics 117
- Infectious Diseases 69
Countries citing papers authored by Takaharu Ueno
This map shows the geographic impact of Takaharu Ueno'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 Takaharu Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takaharu Ueno more than expected).
Fields of papers citing papers by Takaharu Ueno
This network shows the impact of papers produced by Takaharu Ueno. 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 Takaharu Ueno. The network helps show where Takaharu Ueno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takaharu Ueno, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 24 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 9 | |
| 7 | 2019 | 1 | |
| 8 | 2017 | 68 | |
| 9 | 2014 | 2 | |
| 10 | 2013 | 51 | |
| 11 | 2011 | 24 | |
| 12 | 2011 | 1 | |
| 13 | 2008 | 61 | |
| 14 | 2006 | 26 | |
| 15 | 2003 | 15 | |
| 16 | 2003 | 41 | |
| 17 | 2002 | 63 | |
| 18 | 2001 | 17 | |
| 19 | 2001 | 18 | |
| 20 | Analysis of retinoblastoma for human adenovirus and human JC virus genome integration. | 1987 | 2 |
About Takaharu Ueno
Takaharu Ueno is a scholar working on Agronomy and Crop Science, Virology, Immunology, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 27 papers that have together received 458 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (11 papers), Animal Disease Management and Epidemiology (10 papers), Vector-Borne Animal Diseases (9 papers), HIV Research and Treatment (4 papers), Virus-based gene therapy research (4 papers), HIV/AIDS drug development and treatment (4 papers), Cervical Cancer and HPV Research (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Virology (100 citations), Agronomy and Crop Science (123 citations), Immunology (221 citations), Ecology, Evolution, Behavior and Systematics (117 citations) and Infectious Diseases (69 citations). Takaharu Ueno has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masakazu Tanaka, Akinori Ishimoto, Tomomi Nakahara, Hiroyuki Sakai, Akiko Nishimura, Jun–ichi Fujisawa, Kaori Asamitsu, Yurina Hibi, Norihiro Takenouchi and Takashi Okamoto. Their work appears in journals such as Retrovirology, PLoS Pathogens, Blood, Nature Communications and Virology.
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.