U Yanagi

1.7k citations
73 papers · 1.2k · h-index 17

Impact in

Papers in

U Yanagi

67 papers receiving 1.2k citations

Peers

U Yanagi
Comparison fields: 5 of 132
  • Health, Toxicology and Mutagenesis 649
  • Speech and Hearing 152
  • Building and Construction 273
  • Environmental Engineering 249
  • Modeling and Simulation 63
Replace Naoki Kagi with:
Naoki Kagi Japan
Kenichi Azuma Japan
Jingchao Xie China
Chanjuan Sun China
Nicholas Clements United States
Jianshun Zhang United States
Chungsik Yoon South Korea
Richard Shaughnessy United States
Yuexia Sun China
Hal Levin United States
U Yanagi relative to Naoki Kagi Japan Naoki Kagi's profile →
Citations per field
00.5×1.5×
Naoki Kagi · 1×
Citations per year

Countries citing papers authored by U Yanagi

Since Specialization
Citations

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

Fields of papers citing papers by U Yanagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018268
2 2020167
3 201471
4 201761
5 201355
6 201746
7 201740
8 201839
9 201934
10 201531
11 201830
12 201326
13 201623
14 201621
15 202019
16 201718
17 202016
18 202215
19 201115
20 201914

About U Yanagi

U Yanagi is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Environmental Engineering, Building and Construction and Speech and Hearing, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Indoor Air Quality and Microbial Exposure (42 papers), Air Quality and Health Impacts (23 papers), Infection Control and Ventilation (12 papers), Climate Change and Health Impacts (10 papers), Building Energy and Comfort Optimization (9 papers), Noise Effects and Management (7 papers), Evacuation and Crowd Dynamics (5 papers) and Pediatric health and respiratory diseases (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (649 citations), Speech and Hearing (152 citations), Building and Construction (273 citations), Environmental Engineering (249 citations) and Modeling and Simulation (63 citations). U Yanagi has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Naoki Kagi, Kenichi Azuma, Haruki Osawa, Koichi Ikeda, Kenichi Hasegawa, Hiroshi Yoshino, Motoya Hayashi, Masayuki OGATA, Hoon Kim and Jingchao Xie. Their work appears in journals such as Building and Environment, Indoor Air, Journal of Asian Architecture and Building Engineering, Atmosphere and Environment International.

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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