Sungbo Shim

1.5k total citations
42 papers, 440 citations indexed

About

Sungbo Shim is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sungbo Shim has authored 42 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 29 papers in Atmospheric Science and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sungbo Shim's work include Atmospheric chemistry and aerosols (17 papers), Climate variability and models (17 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Sungbo Shim is often cited by papers focused on Atmospheric chemistry and aerosols (17 papers), Climate variability and models (17 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Sungbo Shim collaborates with scholars based in South Korea, United Kingdom and United States. Sungbo Shim's co-authors include Kyung‐On Boo, Young‐Hwa Byun, Seong Soo Yum, Seokchan Yoon, Fiona M. O’Connor, Jisun Kim, W. J. Collins, Lori T. Sentman, Sang‐Hoon Kwon and Larry W. Horowitz and has published in prestigious journals such as PLoS ONE, Atmospheric chemistry and physics and International Journal of Environmental Research and Public Health.

In The Last Decade

Sungbo Shim

39 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungbo Shim South Korea 13 339 315 95 51 47 42 440
Efi Rousi Germany 7 360 1.1× 304 1.0× 83 0.9× 61 1.2× 67 1.4× 9 499
Sarath Raj India 9 295 0.9× 214 0.7× 122 1.3× 23 0.5× 118 2.5× 23 433
Fei Luo Netherlands 9 316 0.9× 232 0.7× 98 1.0× 31 0.6× 73 1.6× 16 472
Sang‐Boom Ryoo South Korea 12 284 0.8× 289 0.9× 98 1.0× 47 0.9× 101 2.1× 39 432
Daokai Xue China 10 310 0.9× 289 0.9× 67 0.7× 33 0.6× 42 0.9× 21 395
Masamitsu Hayasaki Japan 12 300 0.9× 378 1.2× 116 1.2× 75 1.5× 40 0.9× 24 444
Koichi Watanabe Japan 16 191 0.6× 442 1.4× 214 2.3× 46 0.9× 123 2.6× 38 578
Oliver Krueger Germany 10 321 0.9× 325 1.0× 63 0.7× 118 2.3× 127 2.7× 15 506
Goratz Beobide‐Arsuaga Germany 5 304 0.9× 249 0.8× 80 0.8× 71 1.4× 62 1.3× 7 428
Emily Vosper United Kingdom 5 165 0.5× 138 0.4× 61 0.6× 47 0.9× 36 0.8× 7 284

Countries citing papers authored by Sungbo Shim

Since Specialization
Citations

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

Fields of papers citing papers by Sungbo Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungbo Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Sungbo Shim. A scholar is included among the top collaborators of Sungbo Shim 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 Sungbo Shim. Sungbo Shim 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.
Shim, Sungbo, et al.. (2023). A study on the future projections for climate change adaptation in Korea : Focusing on research reports from NIMS. Journal of Climate Change Research. 14(6-2). 929–939.
2.
3.
Shim, Sungbo, et al.. (2023). Development of YOLO-based apple quality sorter. Korean Journal of Agricultural Science. 50(3). 415–424. 2 indexed citations
4.
Shim, Sungbo, et al.. (2023). Changes in Thermal Stress in Korea Using Climate-Based Indicators: Present-Day and Future Projections from 1 km High Resolution Scenarios. International Journal of Environmental Research and Public Health. 20(17). 6694–6694. 1 indexed citations
5.
Allen, Robert J., Wei Liu, Sungbo Shim, et al.. (2022). Air quality improvements are projected to weaken the Atlantic meridional overturning circulation through radiative forcing effects. Communications Earth & Environment. 3(1). 7 indexed citations
6.
Kim, Jisun, et al.. (2022). Present-day and future projection of East Asian summer monsoon in Coupled Model Intercomparison Project 6 simulations. PLoS ONE. 17(6). e0269267–e0269267. 7 indexed citations
7.
Kim, Jisun, et al.. (2021). Assessment of Model Performance in East Asia Based on the CMIP6 Multi-Model Ensemble. Journal of Climate Change Research. 12(5-1). 461–478. 2 indexed citations
8.
Allen, Robert J., Larry W. Horowitz, Vaishali Naïk, et al.. (2021). Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions. 10 indexed citations
9.
Shim, Sungbo, Sang‐Hoon Kwon, Jisun Kim, et al.. (2021). Regional Features of Long-Term Exposure to PM2.5 Air Quality over Asia under SSP Scenarios Based on CMIP6 Models. International Journal of Environmental Research and Public Health. 18(13). 6817–6817. 14 indexed citations
10.
Park, Jong‐Yeon, Sungbo Shim, Seong Soo Yum, et al.. (2021). Development of the UKESM-TOPAZ Earth System Model (Version 1.0) and Preliminary Evaluation of its Biogeochemical Simulations. Asia-Pacific Journal of Atmospheric Sciences. 58(3). 379–400. 1 indexed citations
11.
Allen, Robert J., Larry W. Horowitz, Vaishali Naïk, et al.. (2021). Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions. Environmental Research Letters. 24 indexed citations
12.
Stevenson, David S., Alcide Zhao, Vaishali Naïk, et al.. (2020). Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP. Atmospheric chemistry and physics. 20(21). 12905–12920. 81 indexed citations
13.
Shim, Sungbo, et al.. (2020). International Data Node System for CMIP6 Climate Change Projections. Journal of Climate Change Research. 11(4). 247–257. 2 indexed citations
14.
Kwon, Sang‐Hoon, et al.. (2020). Analysis of Weather Patterns Related to Wintertime Particulate Matter Concentration in Seoul and a CMIP6-Based Air Quality Projection. Atmosphere. 11(11). 1161–1161. 7 indexed citations
15.
Kim, Kwang‐Yul, Jinwon Kim, Kyung‐On Boo, Sungbo Shim, & Youngmi Kim. (2018). Intercomparison of precipitation datasets for summer precipitation characteristics over East Asia. Climate Dynamics. 52(5-6). 3005–3022. 14 indexed citations
16.
Kim, Yeon‐Hee, Seung‐Ki Min, Maeng‐Ki Kim, et al.. (2017). Long‐Term Warming Trends in Korea and Contribution of Urbanization: An Updated Assessment. Journal of Geophysical Research Atmospheres. 122(20). 37 indexed citations
17.
Kim, Ji‐Hyoung, Seong Soo Yum, Sungbo Shim, et al.. (2014). On the submicron aerosol distributions and CCN number concentrations in and around the Korean Peninsula. Atmospheric chemistry and physics. 14(16). 8763–8779. 34 indexed citations
18.
19.
Yum, Seong Soo, et al.. (2011). On aerosol hygroscopicity, cloud condensation nuclei (CCN) spectra and critical supersaturation measured at two remote islands of Korea between 2006 and 2009. Atmospheric chemistry and physics. 11(24). 12627–12645. 38 indexed citations
20.
Shim, Sungbo, Young Jun Yoon, Seong Soo Yum, et al.. (2008). Nephelometer Measurement of Aerosol Scattering Coefficients at Seoul. 18(4). 459–474. 2 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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