Jhoon Kim

9.8k total citations
283 papers, 5.0k citations indexed

About

Jhoon Kim is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jhoon Kim has authored 283 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 216 papers in Atmospheric Science, 197 papers in Global and Planetary Change and 46 papers in Environmental Engineering. Recurrent topics in Jhoon Kim's work include Atmospheric chemistry and aerosols (187 papers), Atmospheric aerosols and clouds (147 papers) and Atmospheric Ozone and Climate (134 papers). Jhoon Kim is often cited by papers focused on Atmospheric chemistry and aerosols (187 papers), Atmospheric aerosols and clouds (147 papers) and Atmospheric Ozone and Climate (134 papers). Jhoon Kim collaborates with scholars based in South Korea, United States and Japan. Jhoon Kim's co-authors include Myungje Choi, Chul Han Song, B. N. Holben, A. F. Nagy, Jaehwa Lee, Ukkyo Jeong, T. E. Cravens, Hanlim Lee, Yun Gon Lee and Chang‐Keun Song and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Jhoon Kim

269 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jhoon Kim South Korea 40 3.6k 3.0k 1.2k 1.0k 575 283 5.0k
P. F. Levelt Netherlands 40 7.2k 2.0× 6.5k 2.2× 2.2k 1.8× 1.4k 1.4× 238 0.4× 145 8.9k
Graciela B. Raga Mexico 28 3.5k 1.0× 3.3k 1.1× 920 0.8× 445 0.4× 178 0.3× 142 4.3k
Maureen Cribb United States 42 4.2k 1.2× 4.2k 1.4× 3.0k 2.5× 1.9k 1.8× 143 0.2× 98 7.0k
Zhengqiang Li China 40 4.5k 1.3× 4.3k 1.4× 1.8k 1.5× 1.4k 1.3× 95 0.2× 360 6.4k
D. P. Edwards United States 47 7.3k 2.1× 6.2k 2.1× 1.1k 0.9× 420 0.4× 354 0.6× 163 8.8k
Kuo‐Nan Liou United States 42 5.4k 1.5× 5.4k 1.8× 749 0.6× 543 0.5× 144 0.3× 145 6.7k
R. G. Grainger United Kingdom 33 3.4k 1.0× 3.3k 1.1× 232 0.2× 781 0.8× 210 0.4× 140 4.5k
Taesam Lee South Korea 30 1.6k 0.5× 1.8k 0.6× 722 0.6× 687 0.7× 120 0.2× 118 3.0k
Pepijn Veefkind Netherlands 47 7.2k 2.0× 6.7k 2.2× 2.8k 2.3× 1.7k 1.7× 97 0.2× 161 8.9k
Darrel Baumgardner United States 54 7.0k 2.0× 5.9k 2.0× 2.2k 1.8× 744 0.7× 254 0.4× 192 8.3k

Countries citing papers authored by Jhoon Kim

Since Specialization
Citations

This map shows the geographic impact of Jhoon Kim'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 Jhoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jhoon Kim more than expected).

Fields of papers citing papers by Jhoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jhoon Kim. 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 Jhoon Kim. The network helps show where Jhoon Kim may publish in the future.

Co-authorship network of co-authors of Jhoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jhoon Kim. A scholar is included among the top collaborators of Jhoon Kim 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 Jhoon Kim. Jhoon Kim 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.
Li, Jing, Huizheng Che, Yueming Dong, et al.. (2025). Long-term trends in aerosol properties derived from AERONET measurements. Atmospheric chemistry and physics. 25(8). 4617–4637. 5 indexed citations
2.
Oak, Yujin J., Daniel J. Jacob, Laura Hyesung Yang, et al.. (2024). A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument. Atmospheric measurement techniques. 17(17). 5147–5159. 4 indexed citations
3.
Yan, Xing, Zhou Zang, Zhanqing Li, et al.. (2024). Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval. Environmental Science & Technology. 58(32). 14260–14270. 7 indexed citations
4.
Kim, Bo Ram, et al.. (2024). First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer. Atmospheric measurement techniques. 17(2). 453–470. 6 indexed citations
5.
Kim, Jhoon, Jeewoo Lee, Myungje Choi, et al.. (2023). Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning. Atmospheric Research. 290. 106787–106787. 6 indexed citations
6.
Yang, Laura Hyesung, Daniel J. Jacob, Nadia K. Colombi, et al.. (2023). Tropospheric NO 2 vertical profiles over South Korea and their relation to oxidant chemistry: implications for geostationary satellite retrievals and the observation of NO 2 diurnal variation from space. Atmospheric chemistry and physics. 23(4). 2465–2481. 25 indexed citations
7.
Choi, Haklim, et al.. (2021). A Fast Retrieval of Cloud Parameters Using a Triplet of Wavelengths of Oxygen Dimer Band around 477 nm. Remote Sensing. 13(1). 152–152. 5 indexed citations
8.
Yoon, Jongmin, Jos Lelieveld, Seon Ki Park, et al.. (2021). Direct radiative forcing of biomass burning aerosols from the extensive Australian wildfires in 2019–2020. Environmental Research Letters. 16(4). 44041–44041. 31 indexed citations
9.
Lee, Kyunghwa, Sojin Lee, Soon-Young Park, et al.. (2020). Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues. Geoscientific model development. 13(3). 1055–1073. 17 indexed citations
10.
Jung, Jia, Amir H. Souri, David C. Wong, et al.. (2019). The Impact of the Direct Effect of Aerosols on Meteorology and Air Quality Using Aerosol Optical Depth Assimilation During the KORUS‐AQ Campaign. Journal of Geophysical Research Atmospheres. 124(14). 8303–8319. 62 indexed citations
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13.
Mok, Jungbin, N. A. Krotkov, Omar Torres, et al.. (2018). Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea. Atmospheric measurement techniques. 11(4). 2295–2311. 32 indexed citations
14.
Koo, Ja‐Ho, Taejin Choi, Hana Lee, et al.. (2018). Total ozone characteristics associated with regional meteorology in West Antarctica. Atmospheric Environment. 195. 78–88. 4 indexed citations
15.
Mok, Jungbin, N. A. Krotkov, Omar Torres, et al.. (2017). Comparisons of spectral aerosol absorption in Seoul, South Korea. 6 indexed citations
16.
Yoon, J., Andrea Pozzer, Dongwoo Chang, et al.. (2015). Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013. Atmospheric Environment. 125. 33–47.
17.
Kim, Yong‐Ha, et al.. (2000). Solar Cycle Variation of Upper Thermospheric Temperature Over King Sejong Station, Antarctica. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Lee, Bang‐Yong, et al.. (1999). Observations of Terrestrial Nightglow (Meinel Bands) at King Sejong Station, Antarctica. SHILAP Revista de lepidopterología. 3 indexed citations
19.
Kim, Jhoon, et al.. (1998). Rocket Measurement of Middle Atmospheric Ozone Concentration Profile By KSR-II. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Kim, Jhoon. (1997). The Effect of Atmospheric Scattering as Inferred from the Rocket-Borne UV Radiometer Measurements. SHILAP Revista de lepidopterología. 1 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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