Tetsuo Ueno

33 papers receiving 784 citations

Peers

Tetsuo Ueno
Comparison fields: 5 of 126
  • Radiology, Nuclear Medicine and Imaging 123
  • Virology 19
  • Computational Mechanics 87
  • Hematology 41
  • Immunology 78
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Takashi Nakayama Japan
Carlos J. Suarez United States
Seiji Yoshida Japan
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Citations per field
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Citations per year

Countries citing papers authored by Tetsuo Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsuo Ueno, 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 Tetsuo Ueno Line = papers co-authored together Tetsuo Ueno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983465
2 198665
3 199160
4 199958
5 198738
6 198032
7 198430
8 200611
9 19829
10
Experimental model for combination chemotherapy with metronidazole using human uterine cervical carcinomas transplanted into nude mice.
19809
11 19978
12 20098
13 19878
14
Fundamental study of automatic cytoscreening for uterine cancer. V. Data analysis for imporvement of CYBEST.
19777
15
Fundamental study of automatic cyto-screening for uterine cancer. II. Segmentation of cells and computer simulation.
19776
16
[Perioperative cardiovascular complications in patients with hypertrophic cardiomyopathy].
20035
17 19773
18
[Comparison of propofol LCT and propofol MCT/LCT regarding the injection pain at different sites and the memory].
20053
19 20013
20
Fundamental study of automatic cytoscreening for uterine cancer. IV. Sample requirements for CYBEST and simulation test of cell dispersion.
19773

About Tetsuo Ueno

Tetsuo Ueno is a scholar working on Global and Planetary Change, Molecular Biology, Computational Mechanics, Epidemiology and Ecology, having authored 36 papers that have together received 855 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (6 papers), Hydrology and Sediment Transport Processes (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Neuroblastoma Research and Treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Polyomavirus and related diseases (2 papers), Environmental and Agricultural Sciences (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (123 citations), Virology (19 citations), Computational Mechanics (87 citations), Hematology (41 citations) and Immunology (78 citations). Tetsuo Ueno has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Seiichi Hashida, Eiji Ishikawa, Masayoshi Imagawa, Yoshitaka Hamaguchi, Shinji Yoshitake, Noboru Tanaka, Ron F. Blackwelder, Shiro Naoe, Hirotake Masuda and Kenji Nomiya. Their work appears in journals such as Experiments in Fluids, Biomedicine & Pharmacotherapy, Molecular Physics, Gastrointestinal Endoscopy and Digestive Diseases and Sciences.

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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