Junsu Gil
Impact in
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Automotive Engineering top 5%
- Vehicle emissions and performance
Papers in
-
- Atmospheric chemistry and aerosols 13
- Atmospheric Ozone and Climate 3
-
- Air Quality and Health Impacts 10
- Co-authors
- Andrés Alástuey (2 shared papers)X. Querol (2 shared papers)Mar Viana (2 shared papers)Cristina Reche (1 shared paper)Eladio de Miguel (1 shared paper)Teresa Moreno (1 shared paper)Marta Capdevila (1 shared paper)Oriol Font (1 shared paper)
- Journals
- Atmospheric Environment (4 papers)The Science of The Total Environment (2 papers)Elementa Science of the Anthropocene (2 papers)Environmental Modelling & Software (1 paper)Environmental Science Processes & Impacts (1 paper)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Junsu Gil
17 papers receiving 419 citations
Peers
Comparison fields: 5 of 57
- Health, Toxicology and Mutagenesis 340
- Automotive Engineering 167
- Environmental Engineering 173
- Atmospheric Science 206
- Speech and Hearing 27
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 | 203 | |
| 2 | 2004 | 155 | |
| 3 | 2020 | 20 | |
| 4 | 2021 | 19 | |
| 5 | 2020 | 7 | |
| 6 | 2021 | 6 | |
| 7 | 2018 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2025 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2026 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2026 | 0 | |
| 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 441 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (13 papers), Air Quality and Health Impacts (10 papers), Air Quality Monitoring and Forecasting (9 papers), Atmospheric Ozone and Climate (3 papers), Atmospheric aerosols and clouds (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 (340 citations), Automotive Engineering (167 citations), Environmental Engineering (173 citations), Atmospheric Science (206 citations) and Speech and Hearing (27 citations). Junsu Gil has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Andrés Alástuey, X. Querol, Mar Viana, Cristina Reche, Eladio de Miguel, Teresa Moreno, Marta Capdevila, Oriol Font, Angeliki Karanasiou and Rosalía Fernández Patier. Their work appears in journals such as Atmospheric Environment, The Science of The Total Environment, Elementa Science of the Anthropocene, Environmental Modelling & Software and Environmental Science Processes & Impacts.
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.