Junsu Gil
Impact in
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Automotive Engineering top 5%
- Vehicle emissions and performance
Papers in ⓘ
-
- Atmospheric chemistry and aerosols 15
- Atmospheric Ozone and Climate 3
-
- Air Quality and Health Impacts 12
- Co-authors
- Andrés Alástuey (2 shared papers)Mar Viana (2 shared papers)Xavier Querol (2 shared papers)Oriol Font (1 shared paper)Marta Capdevila (1 shared paper)Teresa Moreno (1 shared paper)Eladio de Miguel (1 shared paper)Cristina Reche (1 shared paper)
- Journals
- Atmospheric Environment (4 papers)The Science of The Total Environment (2 papers)Elementa Science of the Anthropocene (2 papers)Atmosphere (1 paper)Geoscientific model development (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Junsu Gil
17 papers receiving 399 citations
Peers
Comparison fields: 5 of 58
- Health, Toxicology and Mutagenesis 337
- Automotive Engineering 161
- Environmental Engineering 177
- Atmospheric Science 206
- Speech and Hearing 31
Countries citing papers authored by Junsu Gil
This map shows the geographic impact of Junsu Gil'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 Junsu Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junsu Gil more than expected).
Fields of papers citing papers by Junsu Gil
This network shows the impact of papers produced by Junsu Gil. 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 Junsu Gil. The network helps show where Junsu Gil may publish in the future.
Co-authors
The 25 scholars most cited alongside Junsu Gil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 194 | |
| 2 | 2004 | 154 | |
| 3 | 2020 | 20 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2019 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2024 | 0 |
About Junsu Gil
Junsu Gil is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change and Automotive Engineering, having authored 20 papers that have together received 428 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (15 papers), Air Quality and Health Impacts (12 papers), Air Quality Monitoring and Forecasting (10 papers), Atmospheric aerosols and clouds (4 papers), Atmospheric Ozone and Climate (3 papers), Vehicle emissions and performance (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (337 citations), Automotive Engineering (161 citations), Environmental Engineering (177 citations), Atmospheric Science (206 citations) and Speech and Hearing (31 citations). Junsu Gil has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Andrés Alástuey, Mar Viana, Xavier Querol, Oriol Font, Marta Capdevila, Teresa Moreno, Eladio de Miguel, Cristina Reche, Angeliki Karanasiou and Sergio Rodrı́guez. Their work appears in journals such as Atmospheric Environment, The Science of The Total Environment, Elementa Science of the Anthropocene, Atmosphere and Geoscientific model development.
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.