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
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 2
- Antimicrobial Resistance in Staphylococcus 2
-
- Long-Term Effects of COVID-19 4
- Co-authors
- Hitoshi Kawasuji (18 shared papers)Yuki Miyajima (18 shared papers)Yoshihiro Yamamoto (18 shared papers)Ippei Sakamaki (13 shared papers)Yoshitomo Morinaga (13 shared papers)Yasutaka Fukui (11 shared papers)Makito Kaneda (11 shared papers)Hideki Tani (7 shared papers)
- Journals
- BMC Pharmacology and Toxicology (1 paper)International Journal of Infectious Diseases (1 paper)PLoS ONE (1 paper)HIV Medicine (1 paper)Antibiotics (1 paper)
- Partner nations
- JapanSouth AfricaMalawi
In The Last Decade
Akitoshi Ueno
18 papers receiving 288 citations
Peers
Comparison fields: 5 of 62
- Infectious Diseases 210
- Microbiology 3
- Modeling and Simulation 18
- Neurology 28
- Obstetrics and Gynecology 8
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-authors
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 | 2020 | 94 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 30 | |
| 5 | 2022 | 15 | |
| 6 | 2023 | 12 | |
| 7 | 2021 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2021 | 1 | |
| 19 | Murine skin allograft histocompatibility combinations susceptible to induction of tolerance by intraportal inoculation of allogeneic spleen cells. | 1993 | 1 |
| 20 | 2025 | 0 |
About Akitoshi Ueno
Akitoshi Ueno is a scholar working on Infectious Diseases, Neurology, Epidemiology, Surgery and Molecular Biology, having authored 20 papers that have together received 292 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (4 papers), SARS-CoV-2 detection and testing (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Respiratory viral infections research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Infectious Diseases (210 citations), Microbiology (3 citations), Modeling and Simulation (18 citations), Neurology (28 citations) and Obstetrics and Gynecology (8 citations). Akitoshi Ueno has collaborated with scholars based in Japan, South Africa and Malawi. Frequent co-authors include Hitoshi Kawasuji, Yuki Miyajima, Yoshihiro Yamamoto, Ippei Sakamaki, Yoshitomo Morinaga, Yasutaka Fukui, Makito Kaneda, Hideki Tani, Yoshihiro Yoshida and Miyuki Kimura. Their work appears in journals such as BMC Pharmacology and Toxicology, International Journal of Infectious Diseases, PLoS ONE, HIV Medicine and Antibiotics.
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.