Takashi Ueno
- Epidemiology top 10%
- Cognitive Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Molecular Biology
- Hepatology top 5%
- Co-authors
- Hiroo MatsuokaIsei TanidaKentaro HanadaEiki KominamiHidemitsu SaitoMasayoshi FukasawaYoshihiko MatsueTakaji Wakita
- Topics
- Liver Disease Diagnosis and Treatment (6 papers)Schizophrenia research and treatment (5 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Takashi Ueno
62 papers receiving 972 citations
Peers
Comparison fields: 5 of 139
- Epidemiology 274
- Cognitive Neuroscience 189
- Psychiatry and Mental health 171
- Molecular Biology 156
- Hepatology 133
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 of co-authors of Takashi Ueno
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Ueno. A scholar is included among the top collaborators of Takashi Ueno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takashi Ueno. Takashi Ueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 50 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 5 | |
| 9 | Improvement in performance of dye-sensitized solar cells with porous TiO | 1 |
| 10 | 1 | |
| 11 | 18 | |
| 12 | [Clinical evaluation of transcatheter arterial chemolipiodolization of miriplatin for multiple hepatocellular carcinoma]. | 0 |
| 13 | 66 | |
| 14 | 6 | |
| 15 | 49 | |
| 16 | 2 | |
| 17 | 25 | |
| 18 | 7 | |
| 19 | 31 | |
| 20 | 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) and Hepatocellular Carcinoma Treatment and Prognosis (5 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.