Kayo Ueda

131 papers receiving 2.3k citations

Peers

Kayo Ueda
Comparison fields: 5 of 143
  • Health, Toxicology and Mutagenesis 1.7k
  • Environmental Engineering 409
  • Speech and Hearing 182
  • Pollution 185
  • Atmospheric Science 256
Replace Abdelkrim Zeghnoun with:
Abdelkrim Zeghnoun France
Ji-Young Son United States
Rachel Broadwin United States
Hualiang Lin China
Jian Cheng China
Christopher Carlsten Canada
Weimin Song China
Hao Xiang China
Jinlei Qi China
Mary B. Rice United States
Kayo Ueda relative to Abdelkrim Zeghnoun France Abdelkrim Zeghnoun's profile →
Citations per field
00.5×1.5×2.2×
Abdelkrim Zeghnoun · 1×
Citations per year

Countries citing papers authored by Kayo Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Kayo Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018150
2 2017120
3 201081
4 201076
5 201368
6 201962
7 201256
8 201653
9 200945
10 201543
11 201742
12 201842
13 200341
14 201339
15 201338
16 201437
17 201637
18 201136
19 201736
20 201636

About Kayo Ueda

Kayo Ueda is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Environmental Engineering, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 139 papers that have together received 2.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (87 papers), Climate Change and Health Impacts (79 papers), Energy and Environment Impacts (17 papers), Global Health Care Issues (13 papers), Air Quality Monitoring and Forecasting (12 papers), Noise Effects and Management (10 papers), Cardiovascular Function and Risk Factors (10 papers) and Atmospheric chemistry and aerosols (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.7k citations), Environmental Engineering (409 citations), Speech and Hearing (182 citations), Pollution (185 citations) and Atmospheric Science (256 citations). Kayo Ueda has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Hiroshi Nitta, Hirohisa Takano, Akiko Honda, Takehiro Michikawa, Akinori Takami, Chris Fook Sheng Ng, Masaji Ono, Xerxes Seposo, Vera Ling Hui Phung and Arthit Phosri. Their work appears in journals such as The Science of The Total Environment, Environmental Research, Circulation Journal, Journal of Epidemiology and Environmental Health and Preventive Medicine.

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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