Naoki Kagi
Impact in
-
- Air Quality and Health Impacts
- Indoor Air Quality and Microbial Exposure
- Climate Change and Health Impacts
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Indoor Air Quality and Microbial Exposure 40
- Air Quality and Health Impacts 24
- Climate Change and Health Impacts 10
- Urban Green Space and Health 8
-
- Infection Control and Ventilation 15
- Co-authors
- U Yanagi (44 shared papers)Kenichi Azuma (19 shared papers)Haruki Osawa (13 shared papers)Motoya Hayashi (12 shared papers)Hoon Kim (8 shared papers)Koichi Ikeda (9 shared papers)Kenichi Hasegawa (27 shared papers)Hiroshi Yoshino (21 shared papers)
In The Last Decade
Naoki Kagi
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 141
- Health, Toxicology and Mutagenesis 798
- Modeling and Simulation 129
- Speech and Hearing 175
- Environmental Engineering 301
- Building and Construction 262
Countries citing papers authored by Naoki Kagi
This map shows the geographic impact of Naoki Kagi'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 Naoki Kagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Kagi more than expected).
Fields of papers citing papers by Naoki Kagi
This network shows the impact of papers produced by Naoki Kagi. 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 Naoki Kagi. The network helps show where Naoki Kagi may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Kagi, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 256 | |
| 2 | 2020 | 159 | |
| 3 | 2006 | 133 | |
| 4 | 2020 | 93 | |
| 5 | 2014 | 69 | |
| 6 | 2013 | 55 | |
| 7 | 2021 | 46 | |
| 8 | 2017 | 45 | |
| 9 | 2018 | 39 | |
| 10 | 2017 | 39 | |
| 11 | 2021 | 35 | |
| 12 | 2019 | 33 | |
| 13 | 2015 | 31 | |
| 14 | 2018 | 30 | |
| 15 | 2004 | 30 | |
| 16 | 2008 | 29 | |
| 17 | 2013 | 26 | |
| 18 | 2016 | 23 | |
| 19 | 2016 | 21 | |
| 20 | 2020 | 19 |
About Naoki Kagi
Naoki Kagi is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Building and Construction, Environmental Engineering and Process Chemistry and Technology, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Indoor Air Quality and Microbial Exposure (40 papers), Air Quality and Health Impacts (24 papers), Building Energy and Comfort Optimization (16 papers), Infection Control and Ventilation (15 papers), Climate Change and Health Impacts (10 papers), Urban Green Space and Health (8 papers), Noise Effects and Management (8 papers) and Odor and Emission Control Technologies (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (798 citations), Modeling and Simulation (129 citations), Speech and Hearing (175 citations), Environmental Engineering (301 citations) and Building and Construction (262 citations). Naoki Kagi has collaborated with scholars based in Japan, China and Laos. Frequent co-authors include U Yanagi, Kenichi Azuma, Haruki Osawa, Motoya Hayashi, Hoon Kim, Koichi Ikeda, Kenichi Hasegawa, Hiroshi Yoshino, Masayuki OGATA and Norikazu Namiki. Their work appears in journals such as Building and Environment, Indoor Air, Journal of Asian Architecture and Building Engineering, Environment International 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.