Jun Noda
Impact in
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- Air Quality and Health Impacts
- Indoor Air Quality and Microbial Exposure
- Atmospheric Science top 10%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
Papers in
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- Indoor Air Quality and Microbial Exposure 11
- Air Quality and Health Impacts 10
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- Atmospheric chemistry and aerosols 16
- Atmospheric Ozone and Climate 6
- Co-authors
- Fumito Maruyama (7 shared papers)So Fujiyoshi (7 shared papers)Milko A. Jorquera (3 shared papers)Daisuke Tanaka (3 shared papers)Sarka Langer (3 shared papers)Jacquelinne J. Acuña (2 shared papers)Evert Ljungström (3 shared papers)Gunnar Nyman (2 shared papers)
In The Last Decade
Jun Noda
56 papers receiving 704 citations
Peers
Comparison fields: 5 of 117
- Health, Toxicology and Mutagenesis 349
- Atmospheric Science 236
- Toxicology 34
- Process Chemistry and Technology 27
- Pollution 62
Countries citing papers authored by Jun Noda
This map shows the geographic impact of Jun Noda'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 Jun Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Noda more than expected).
Fields of papers citing papers by Jun Noda
This network shows the impact of papers produced by Jun Noda. 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 Jun Noda. The network helps show where Jun Noda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Noda, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 160 | |
| 2 | 2009 | 46 | |
| 3 | 1984 | 46 | |
| 4 | 2002 | 45 | |
| 5 | 2000 | 36 | |
| 6 | 2019 | 32 | |
| 7 | 2022 | 31 | |
| 8 | 1996 | 30 | |
| 9 | 2012 | 22 | |
| 10 | 2018 | 19 | |
| 11 | 2023 | 19 | |
| 12 | 2011 | 18 | |
| 13 | 2002 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 2019 | 13 | |
| 16 | 2002 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2012 | 12 | |
| 20 | 2021 | 10 |
About Jun Noda
Jun Noda is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Pulmonary and Respiratory Medicine, Global and Planetary Change and Surgery, having authored 62 papers that have together received 723 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (16 papers), Indoor Air Quality and Microbial Exposure (11 papers), Air Quality and Health Impacts (10 papers), Atmospheric aerosols and clouds (7 papers), Gallbladder and Bile Duct Disorders (7 papers), Atmospheric Ozone and Climate (6 papers), Turtle Biology and Conservation (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (349 citations), Atmospheric Science (236 citations), Toxicology (34 citations), Process Chemistry and Technology (27 citations) and Pollution (62 citations). Jun Noda has collaborated with scholars based in Japan, Sweden and Chile. Frequent co-authors include Fumito Maruyama, So Fujiyoshi, Milko A. Jorquera, Daisuke Tanaka, Sarka Langer, Jacquelinne J. Acuña, Evert Ljungström, Gunnar Nyman, Mario J. Molina and Rainer Volkamer. Their work appears in journals such as Atmosphere, Atmospheric Environment, Environment International, The Journal of Physical Chemistry A and Forensic Science 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.