Naoki Ueda
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Thin-Film Transistor Technologies 7
- Advancements in Photolithography Techniques 2
- Co-authors
- Hidenori Shiraha (5 shared papers)Yutaka Nakanishi (5 shared papers)Tatsuya Fujikawa (5 shared papers)Nobuyuki Takaoka (5 shared papers)Akinobu Takaki (4 shared papers)Mayumi Suzuki (4 shared papers)Yasushi Shiratori (4 shared papers)Shuya Yamashita (2 shared papers)
- Journals
- Biomedical Reports (2 papers)Clinica Chimica Acta (2 papers)Journal of Biological Chemistry (2 papers)Journal of the Society for Information Display (2 papers)Journal of Gastroenterology and Hepatology (1 paper)
- Partner nations
- JapanUnited StatesNepal
In The Last Decade
Naoki Ueda
39 papers receiving 766 citations
Peers
Comparison fields: 5 of 105
- Hepatology 112
- Applied Microbiology and Biotechnology 17
- Cancer Research 106
- Pathology and Forensic Medicine 114
- Biochemistry 34
Countries citing papers authored by Naoki Ueda
This map shows the geographic impact of Naoki Ueda'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 Naoki Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Ueda more than expected).
Fields of papers citing papers by Naoki Ueda
This network shows the impact of papers produced by Naoki Ueda. 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 Naoki Ueda. The network helps show where Naoki Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 151 | |
| 2 | 2004 | 112 | |
| 3 | 2009 | 102 | |
| 4 | 1999 | 65 | |
| 5 | 2007 | 64 | |
| 6 | 2015 | 35 | |
| 7 | 2014 | 28 | |
| 8 | 1991 | 27 | |
| 9 | 2018 | 26 | |
| 10 | 2006 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2008 | 16 | |
| 13 | 1986 | 15 | |
| 14 | 2015 | 10 | |
| 15 | 1997 | 10 | |
| 16 | 2001 | 9 | |
| 17 | 2010 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 1999 | 6 |
About Naoki Ueda
Naoki Ueda is a scholar working on Electrical and Electronic Engineering, Cancer Research, Nutrition and Dietetics, Pharmacology and Electronic, Optical and Magnetic Materials, having authored 42 papers that have together received 789 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (7 papers), Liquid Crystal Research Advancements (3 papers), Inflammatory Bowel Disease (3 papers), Computational Drug Discovery Methods (2 papers), Advancements in Photolithography Techniques (2 papers), Memory and Neural Mechanisms (2 papers), Transition Metal Oxide Nanomaterials (2 papers) and Silicon Nanostructures and Photoluminescence (2 papers). The work is most often cited by research in Hepatology (112 citations), Applied Microbiology and Biotechnology (17 citations), Cancer Research (106 citations), Pathology and Forensic Medicine (114 citations) and Biochemistry (34 citations). Naoki Ueda has collaborated with scholars based in Japan, United States and Nepal. Frequent co-authors include Hidenori Shiraha, Yutaka Nakanishi, Tatsuya Fujikawa, Nobuyuki Takaoka, Akinobu Takaki, Mayumi Suzuki, Yasushi Shiratori, Shuya Yamashita, Motofumi Kumazoe and Takashi Suzuki. Their work appears in journals such as Biomedical Reports, Clinica Chimica Acta, Journal of Biological Chemistry, Journal of the Society for Information Display and Journal of Gastroenterology and Hepatology.
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.