Akitoshi Ueno
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Antimicrobial Resistance in Staphylococcus
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 detection and testing 3
- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Yuki MiyajimaHitoshi KawasujiYoshihiro YamamotoIppei SakamakiYoshitomo MorinagaYasutaka FukuiMakito KanedaHideki Tani
- Journals
- HIV Medicine (1 paper)Scientific Reports (1 paper)Virology Journal (1 paper)Frontiers in Immunology (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- JapanSouth AfricaSwitzerland
In The Last Decade
Akitoshi Ueno
18 papers receiving 280 citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 243
- Modeling and Simulation 24
- Microbiology 3
- Clinical Biochemistry 23
- Neurology 50
Countries citing papers authored by Akitoshi Ueno
This map shows the geographic impact of Akitoshi 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 Akitoshi Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akitoshi Ueno more than expected).
Fields of papers citing papers by Akitoshi Ueno
This network shows the impact of papers produced by Akitoshi 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 Akitoshi Ueno. The network helps show where Akitoshi Ueno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akitoshi 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 | 2025 | 0 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 37 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 93 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 4 | |
| 20 | Murine skin allograft histocompatibility combinations susceptible to induction of tolerance by intraportal inoculation of allogeneic spleen cells. | 1993 | 1 |
About Akitoshi Ueno
Akitoshi Ueno is a scholar working on Microbiology, Infectious Diseases, Neurology, Applied Microbiology and Biotechnology and Transplantation, having authored 20 papers that have together received 284 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (11 papers), Long-Term Effects of COVID-19 (8 papers), SARS-CoV-2 detection and testing (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Respiratory viral infections research (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Oral microbiology and periodontitis research (1 paper). The work is most often cited by research in Infectious Diseases (243 citations), Modeling and Simulation (24 citations), Microbiology (3 citations), Clinical Biochemistry (23 citations) and Neurology (50 citations). Akitoshi Ueno has collaborated with scholars based in Japan, South Africa and Switzerland. Frequent co-authors include Yuki Miyajima, Hitoshi Kawasuji, Yoshihiro Yamamoto, Ippei Sakamaki, Yoshitomo Morinaga, Yasutaka Fukui, Makito Kaneda, Hideki Tani, Yoshihiro Yoshida and Miyuki Kimura. Their work appears in journals such as HIV Medicine, Scientific Reports, Virology Journal, Frontiers in Immunology and International Journal of Infectious Diseases.
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.