Nobuhiro Ueda

90 papers receiving 1.9k citations

Peers

Nobuhiro Ueda
Comparison fields: 5 of 157
  • Orthopedics and Sports Medicine 195
  • Oncology 511
  • Otorhinolaryngology 65
  • Oral Surgery 88
  • Signal Processing 148
Replace Yong‐Deok Kim with:
Yong‐Deok Kim South Korea
Christopher J. Hughes United States
Daniel Truhn Germany
Matthew T. Freedman United States
L. Rodney Long United States
Lisheng Wang China
Ljubomir J. Buturović United States
Dorit D. Adler United States
Jiayong Liu China
Idit Diamant Israel
Nobuhiro Ueda relative to Yong‐Deok Kim South Korea Yong‐Deok Kim's profile →
Citations per field
00.5×2×3×4×4.6×
Yong‐Deok Kim · 1×
Citations per year

Countries citing papers authored by Nobuhiro Ueda

Since Specialization
Citations

This map shows the geographic impact of Nobuhiro 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 Nobuhiro Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuhiro Ueda more than expected).

Fields of papers citing papers by Nobuhiro Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nobuhiro 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 Nobuhiro Ueda. The network helps show where Nobuhiro Ueda may publish in the future.

Co-authors

The 25 scholars most cited alongside Nobuhiro Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nobuhiro Ueda Line = papers co-authored together Nobuhiro Ueda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012174
2 2000165
3 2002164
4 2017144
5 2017112
6 201876
7 200475
8 199364
9 200862
10 201760
11 201457
12
Cloning, sequencing, and characterization of the intracellular invertase gene from Zymomonas mobilis.
199140
13 201940
14 201237
15 200935
16 202034
17 202230
18 202128
19 201328
20 200328

About Nobuhiro Ueda

Nobuhiro Ueda is a scholar working on Otorhinolaryngology, Oncology, Oral Surgery, Artificial Intelligence and Signal Processing, having authored 99 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bone health and treatments (10 papers), Reconstructive Surgery and Microvascular Techniques (8 papers), Head and Neck Cancer Studies (7 papers), Cancer Diagnosis and Treatment (6 papers), Neural Networks and Applications (6 papers), 3D Shape Modeling and Analysis (5 papers), Speech Recognition and Synthesis (5 papers) and Oral health in cancer treatment (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (195 citations), Oncology (511 citations), Otorhinolaryngology (65 citations), Oral Surgery (88 citations) and Signal Processing (148 citations). Nobuhiro Ueda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Ryoko Nakano, Tadaaki Kirita, Tomonori Sasahira, Hiroki Kuniyasu, UJJAL KUMAR BHAWAL, Kazuhiko Yamamoto, Satoshi Suzuki, Takumi Hasegawa, Masahiro Umeda and Takahide Komori. 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 International Journal of Oral and Maxillofacial Surgery.

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.

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