N. Ueda
Impact in
-
- Bone and Joint Diseases
- Otorhinolaryngology top 5%
Papers in
- Co-authors
- Tadaaki Kirita (46 shared papers)Ryoko Nakano (8 shared papers)Ujjal K. Bhawal (6 shared papers)Hiroki Kuniyasu (6 shared papers)Tomonori Sasahira (6 shared papers)Kazuhiko Yamamoto (7 shared papers)Takumi Hasegawa (11 shared papers)Masahiro Umeda (10 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Osteoporosis International (3 papers)Journal of Bone and Mineral Metabolism (2 papers)PLoS ONE (2 papers)Journal of Bone and Mineral Research (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
N. Ueda
81 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 145
- Orthopedics and Sports Medicine 336
- Otorhinolaryngology 89
- Oncology 532
- Oral Surgery 96
- Signal Processing 131
Countries citing papers authored by N. Ueda
This map shows the geographic impact of N. 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 N. Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Ueda more than expected).
Fields of papers citing papers by N. Ueda
This network shows the impact of papers produced by N. 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 N. Ueda. The network helps show where N. Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside N. 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 166 | |
| 2 | 2002 | 138 | |
| 3 | 2000 | 138 | |
| 4 | 2017 | 134 | |
| 5 | 2017 | 103 | |
| 6 | 2004 | 75 | |
| 7 | 2018 | 67 | |
| 8 | 2008 | 59 | |
| 9 | 2017 | 57 | |
| 10 | 2014 | 55 | |
| 11 | 1993 | 51 | |
| 12 | Cloning, sequencing, and characterization of the intracellular invertase gene from Zymomonas mobilis. | 1991 | 40 |
| 13 | 2012 | 36 | |
| 14 | 2019 | 36 | |
| 15 | 2013 | 27 | |
| 16 | 2020 | 27 | |
| 17 | 2021 | 24 | |
| 18 | 2014 | 23 | |
| 19 | 2003 | 22 | |
| 20 | 2016 | 21 |
About N. Ueda
N. Ueda is a scholar working on Surgery, Oncology, Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Diagnosis and Treatment (14 papers), Head and Neck Cancer Studies (11 papers), Bone health and treatments (11 papers), Reconstructive Surgery and Microvascular Techniques (9 papers), Bone and Joint Diseases (9 papers), Anatomy and Medical Technology (6 papers), Neural Networks and Applications (6 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (336 citations), Otorhinolaryngology (89 citations), Oncology (532 citations), Oral Surgery (96 citations) and Signal Processing (131 citations). N. Ueda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tadaaki Kirita, Ryoko Nakano, Ujjal K. Bhawal, Hiroki Kuniyasu, Tomonori Sasahira, Kazuhiko Yamamoto, Takumi Hasegawa, Masahiro Umeda, Takahide Komori and Satoshi Suzuki. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Osteoporosis International, Journal of Bone and Mineral Metabolism, PLoS ONE and Journal of Bone and Mineral Research.
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.