Takashi Ueno
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Liver Disease and Transplantation 4
- Psychiatry and Mental health top 10%
- Schizophrenia research and treatment 5
- Epilepsy research and treatment 3
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 4
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 6
- Autophagy in Disease and Therapy 4
- Physiology top 10%
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- High-pressure geophysics and materials 4
- Co-authors
- Hiroo MatsuokaIsei TanidaKentaro HanadaEiki KominamiHidemitsu SaitoMasayoshi FukasawaYoshihiko MatsueTakaji Wakita
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Takashi Ueno
62 papers receiving 972 citations
Peers
Comparison fields: 5 of 139
- Hepatology 133
- Psychiatry and Mental health 171
- Cognitive Neuroscience 189
- Epidemiology 274
- Physiology 26
Countries citing papers authored by Takashi Ueno
This map shows the geographic impact of Takashi 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 Takashi Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Ueno more than expected).
Fields of papers citing papers by Takashi Ueno
This network shows the impact of papers produced by Takashi 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 Takashi Ueno. The network helps show where Takashi Ueno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi 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 | 2023 | 2 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 50 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 5 | |
| 9 | Improvement in performance of dye-sensitized solar cells with porous TiO | 2016 | 1 |
| 10 | 2014 | 1 | |
| 11 | 2014 | 18 | |
| 12 | [Clinical evaluation of transcatheter arterial chemolipiodolization of miriplatin for multiple hepatocellular carcinoma]. | 2012 | 0 |
| 13 | 2012 | 66 | |
| 14 | 2010 | 6 | |
| 15 | 2009 | 49 | |
| 16 | 2007 | 2 | |
| 17 | 2005 | 25 | |
| 18 | 1999 | 7 | |
| 19 | 1994 | 31 | |
| 20 | 1983 | 1 |
About Takashi Ueno
Takashi Ueno is a scholar working on Hepatology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 65 papers that have together received 994 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Schizophrenia research and treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), EEG and Brain-Computer Interfaces (4 papers), Liver Disease and Transplantation (4 papers), High-pressure geophysics and materials (4 papers), Autophagy in Disease and Therapy (4 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Hepatology (133 citations), Psychiatry and Mental health (171 citations) and Cognitive Neuroscience (189 citations). Takashi Ueno has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hiroo Matsuoka, Isei Tanida, Kentaro Hanada, Eiki Kominami, Hidemitsu Saito, Masayoshi Fukasawa, Yoshihiko Matsue, Takaji Wakita, Kazunori Matsumoto and Toshiyuki Yamaji. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.