Junsu Gil

549 total citations
20 papers, 428 citations indexed

About

Junsu Gil is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Junsu Gil has authored 20 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 12 papers in Health, Toxicology and Mutagenesis and 11 papers in Environmental Engineering. Recurrent topics in Junsu Gil's work include Atmospheric chemistry and aerosols (15 papers), Air Quality and Health Impacts (12 papers) and Air Quality Monitoring and Forecasting (10 papers). Junsu Gil is often cited by papers focused on Atmospheric chemistry and aerosols (15 papers), Air Quality and Health Impacts (12 papers) and Air Quality Monitoring and Forecasting (10 papers). Junsu Gil collaborates with scholars based in South Korea, United States and Germany. Junsu Gil's co-authors include Xavier Querol, Mar Viana, Andrés Alástuey, Oriol Font, Cristina Reche, Marta Capdevila, Teresa Moreno, Angeliki Karanasiou, Eladio de Miguel and Pedro Salvador and has published in prestigious journals such as The Science of The Total Environment, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

Junsu Gil

17 papers receiving 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junsu Gil South Korea 6 337 206 177 161 78 20 428
Max Priestman United Kingdom 10 273 0.8× 143 0.7× 144 0.8× 133 0.8× 55 0.7× 16 334
Dennis Herod Canada 11 488 1.4× 288 1.4× 205 1.2× 226 1.4× 77 1.0× 11 566
M. Brines Spain 8 406 1.2× 235 1.1× 181 1.0× 186 1.2× 65 0.8× 11 468
Mia Pohjola Finland 9 400 1.2× 280 1.4× 187 1.1× 232 1.4× 90 1.2× 17 513
Sam-Erik Walker Norway 10 288 0.9× 180 0.9× 148 0.8× 70 0.4× 118 1.5× 23 453
Vasileios N. Matthaios United Kingdom 13 240 0.7× 149 0.7× 134 0.8× 114 0.7× 54 0.7× 23 365
Marlene Schmidt Plejdrup Denmark 9 224 0.7× 176 0.9× 218 1.2× 151 0.9× 40 0.5× 18 426
Michael Noble Canada 7 383 1.1× 271 1.3× 166 0.9× 174 1.1× 89 1.1× 11 448
Kuruvilla John United States 10 375 1.1× 206 1.0× 221 1.2× 113 0.7× 83 1.1× 26 471
Patrycja Rogula-Kopiec Poland 13 532 1.6× 286 1.4× 228 1.3× 148 0.9× 63 0.8× 53 627

Countries citing papers authored by Junsu Gil

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Junsu Gil

This figure shows the co-authorship network connecting the top 25 collaborators of Junsu Gil. A scholar is included among the top collaborators of Junsu Gil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junsu Gil. Junsu Gil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gil, Junsu, Meehye Lee, Clara Betancourt, et al.. (2025). Interpolation of missing ozone data using graph machine learning and parameter analysis through eXplainable artificial intelligence comparison. Environmental Modelling & Software. 190. 106466–106466. 1 indexed citations
2.
3.
Chang, Lim‐Seok, Min‐Suk Bae, Seung-Myung Park, et al.. (2025). Role of factors controlling diurnal variation of cold-season formaldehyde during Satellite Integrated Joint Monitoring of Air Quality 2021 campaign. The Science of The Total Environment. 960. 178283–178283. 2 indexed citations
4.
Gil, Junsu, et al.. (2024). Exploring the long-term variations and high concentration episodes of peroxyacetyl nitrate in Megacity Seoul. Atmospheric Environment. 338. 120821–120821. 1 indexed citations
5.
Lim, Saehee, Min‐Suk Bae, Anubhav Kumar Dwivedi, et al.. (2024). Exploring fine-aerosol episodes in urban Seoul during the cold season of the 2021 SIJAQ campaign: Measurement evidences of heterogeneous reactions on black carbon particles. Atmospheric Environment. 342. 120926–120926.
6.
Gil, Junsu, et al.. (2024). Nocturnal downward transport of NO3 radical from the residual layer to a surface site by the mountain breeze in Seoul, South Korea. Atmospheric Environment. 321. 120345–120345. 3 indexed citations
7.
Gil, Junsu, et al.. (2023). Simulation model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RNDv1.0. Geoscientific model development. 16(17). 5251–5263. 2 indexed citations
8.
Gil, Junsu, et al.. (2023). Characteristics of PM2.5 Composition and Precursor Gases in Urban Seoul during 2021~2022. Journal of Korean Society for Atmospheric Environment. 39(4). 525–534. 1 indexed citations
9.
Gil, Junsu, et al.. (2023). Seasonal Characteristics of HONO Variations in Seoul during 2021~2022. Journal of Korean Society for Atmospheric Environment. 39(3). 308–319. 4 indexed citations
10.
Lim, Saehee, Meehye Lee, Paolo Laj, et al.. (2022). Regional characteristics of fine aerosol mass increase elucidated from long-term observations and KORUS-AQ campaign at a Northeast Asian background site. Elementa Science of the Anthropocene. 10(1). 4 indexed citations
11.
Gil, Junsu, Meehye Lee, Gangwoong Lee, et al.. (2021). Characteristics of HONO and its impact on O3 formation in the Seoul Metropolitan Area during the Korea-US Air Quality study. Atmospheric Environment. 247. 118182–118182. 18 indexed citations
12.
Lim, Saehee, Meehye Lee, Paolo Laj, et al.. (2021). Physical and chemical constraints on transformation and mass-increase of fine aerosols in northeast Asia. 1 indexed citations
13.
Gil, Junsu & Meehye Lee. (2021). Calculation of PM2.5 in Seoul 12-hours in Advance Using Simple Artificial Neural Network with Measurements of Background Sites, and Analysis of Contribution of Input Variables. Journal of Korean Society for Atmospheric Environment. 37(6). 862–870. 1 indexed citations
14.
Choi, Yongsoo, et al.. (2021). Health and Economic Burden Attributable to Particulate Matter in South Korea: Considering Spatial Variation in Relative Risk. Korean Journal of Environmental Health Sciences. 47(5). 486–495. 6 indexed citations
15.
Gil, Junsu, et al.. (2020). HONO Measurement in Seoul during Summer 2018 and its Impact on Photochemistry. Journal of Korean Society for Atmospheric Environment. 36(5). 579–588. 6 indexed citations
16.
Gil, Junsu, Meehye Lee, Jinsang Jung, et al.. (2020). Factors controlling surface ozone in the Seoul Metropolitan Area during the KORUS-AQ campaign. Elementa Science of the Anthropocene. 8(46). 20 indexed citations
17.
18.
Gil, Junsu, Meehye Lee, Jihyun Han, et al.. (2018). Peroxyacetyl Nitrate and Ozone Enhancement at Taehwa Research Forest under the Influence of Seoul Metropolitan Area. Aerosol and Air Quality Research. 18(9). 2262–2273. 5 indexed citations
19.
Querol, Xavier, Teresa Moreno, Angeliki Karanasiou, et al.. (2012). Variability of levels and composition of PM 10 and PM 2.5 in the Barcelona metro system. Atmospheric chemistry and physics. 12(11). 5055–5076. 194 indexed citations
20.
Querol, Xavier, Andrés Alástuey, Sergio Rodrı́guez, et al.. (2004). Levels of particulate matter in rural, urban and industrial sites in Spain. The Science of The Total Environment. 334-335. 359–376. 154 indexed citations

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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