Song Guo

25.2k total citations · 4 hit papers
206 papers, 9.8k citations indexed

About

Song Guo is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Song Guo has authored 206 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Atmospheric Science, 153 papers in Health, Toxicology and Mutagenesis and 65 papers in Global and Planetary Change. Recurrent topics in Song Guo's work include Atmospheric chemistry and aerosols (175 papers), Air Quality and Health Impacts (148 papers) and Atmospheric Ozone and Climate (50 papers). Song Guo is often cited by papers focused on Atmospheric chemistry and aerosols (175 papers), Air Quality and Health Impacts (148 papers) and Atmospheric Ozone and Climate (50 papers). Song Guo collaborates with scholars based in China, United States and Sweden. Song Guo's co-authors include Min Hu, Renyi Zhang, Zhijun Wu, Dongjie Shang, Misti Levy Zamora, Jianfei Peng, Limin Zeng, Jing Zheng, Zhuofei Du and Min Shao and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Song Guo

198 papers receiving 9.7k citations

Hit Papers

Elucidating severe urban ... 2014 2026 2018 2022 2014 2015 2017 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Guo China 48 7.9k 6.1k 3.9k 2.3k 1.2k 206 9.8k
Yuhang Wang United States 48 6.1k 0.8× 3.4k 0.6× 4.0k 1.0× 1.5k 0.6× 549 0.5× 234 7.9k
N. A. Krotkov United States 62 9.7k 1.2× 3.5k 0.6× 8.2k 2.1× 1.8k 0.8× 360 0.3× 229 12.0k
Xin Huang China 53 7.0k 0.9× 4.8k 0.8× 4.4k 1.1× 2.2k 0.9× 745 0.6× 209 9.4k
Andreas Richter Germany 64 12.8k 1.6× 4.6k 0.8× 9.4k 2.4× 2.3k 1.0× 864 0.7× 323 15.3k
Greet Janssens‐Maenhout Italy 42 5.1k 0.6× 3.0k 0.5× 4.5k 1.2× 1.5k 0.6× 852 0.7× 112 8.1k
R. J. Yokelson United States 69 12.8k 1.6× 5.7k 0.9× 9.8k 2.5× 1.4k 0.6× 1.3k 1.1× 141 15.8k
Thomas B. Ryerson United States 65 9.3k 1.2× 4.8k 0.8× 5.8k 1.5× 2.0k 0.8× 1.1k 1.0× 168 11.5k
Daven K. Henze United States 58 9.0k 1.1× 6.2k 1.0× 6.1k 1.6× 2.2k 0.9× 1.3k 1.1× 232 12.5k
Hong Liao China 61 12.0k 1.5× 8.2k 1.3× 7.2k 1.9× 4.0k 1.7× 1.0k 0.9× 326 14.6k
Zifa Wang China 64 14.0k 1.8× 10.7k 1.8× 7.6k 2.0× 3.9k 1.7× 1.7k 1.4× 499 16.9k

Countries citing papers authored by Song Guo

Since Specialization
Citations

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

Fields of papers citing papers by Song Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Song Guo. A scholar is included among the top collaborators of Song Guo 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 Song Guo. Song Guo 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
2.
Li, Yibo, et al.. (2025). Analysis of low carbon transformation strategy and CO 2 emission metabolism in the steel industry. Journal of Industrial Ecology. 29(6). 2294–2308.
3.
Jiang, Lei, Jingyi Li, Yanhong Zhu, et al.. (2025). Enhancing particle number concentration modelling accuracy in China by incorporating various nucleation parameterization schemes into the CMAQ version 5.3.2 model. Geoscientific model development. 18(21). 8423–8438.
4.
Zhu, Wenfei, et al.. (2024). The role of seasonal characteristics in addressing scattering species for improved visibility in Shanghai, China. The Science of The Total Environment. 952. 175901–175901. 2 indexed citations
5.
Guo, Song, Ying Yu, Hong‐Bin Xie, et al.. (2024). Oxidation Mechanism and Toxicity Evolution of Linalool, a Typical Indoor Volatile Chemical Product. Environment & Health. 2(7). 486–498. 5 indexed citations
6.
Li, Jingyi, Haowen Zhang, Lin Li, et al.. (2023). Modeling Secondary Organic Aerosols in China: State of the Art and Perspectives. Current Pollution Reports. 10 indexed citations
7.
Tan, Rui, Song Guo, Sihua Lü, et al.. (2023). Characteristics and Secondary Organic Aerosol Formation of Volatile Organic Compounds from Vehicle and Cooking Emissions. Atmosphere. 14(5). 806–806. 6 indexed citations
8.
Tang, Rongzhi, Ruifeng Zhang, Jialiang Ma, et al.. (2023). Sulfate Formation by Photosensitization in Mixed Incense Burning–Sodium Chloride Particles: Effects of RH, Light Intensity, and Aerosol Aging. Environmental Science & Technology. 57(28). 10295–10307. 14 indexed citations
9.
Wu, Zhijun, Jie Chen, Wenfei Zhu, et al.. (2022). Ice-nucleating particles from multiple aerosol sources in the urban environment of Beijing under mixed-phase cloud conditions. Atmospheric chemistry and physics. 22(11). 7539–7556. 6 indexed citations
10.
Song, Kai, Song Guo, Daqi Lv, et al.. (2022). Impact of cooking style and oil on semi-volatile and intermediate volatility organic compound emissions from Chinese domestic cooking. Atmospheric chemistry and physics. 22(15). 9827–9841. 39 indexed citations
11.
Zhao, Gang, Tianyi Tan, Shuya Hu, et al.. (2022). Mixing state of black carbon at different atmospheres in north and southwest China. Atmospheric chemistry and physics. 22(16). 10861–10873. 14 indexed citations
12.
Zhao, Weilun, Gang Zhao, Ying Li, et al.. (2022). New method to determine black carbon mass size distribution. Atmospheric measurement techniques. 15(22). 6807–6817. 5 indexed citations
14.
Chen, Jie, Zhijun Wu, Xi Zhao, et al.. (2021). Atmospheric Humic‐Like Substances (HULIS) Act as Ice Active Entities. Geophysical Research Letters. 48(14). 18 indexed citations
15.
Zhang, Jian, Lei Liu, Liang Xu, et al.. (2020). Exploring wintertime regional haze in northeast China: role of coal and biomass burning. Atmospheric chemistry and physics. 20(9). 5355–5372. 77 indexed citations
16.
Zamora, Misti Levy, Jianfei Peng, Min Hu, et al.. (2019). Wintertime aerosol properties in Beijing. Atmospheric chemistry and physics. 19(22). 14329–14338. 25 indexed citations
17.
Peng, Jianfei, Min Hu, Zhuofei Du, et al.. (2017). Gasoline aromatics: a critical determinant of urban secondary organic aerosol formation. Atmospheric chemistry and physics. 17(17). 10743–10752. 70 indexed citations
18.
Guo, Qingfeng, Min Hu, Song Guo, et al.. (2017). The variability in the relationship between black carbon and carbon monoxide over the eastern coast of China: BC aging during transport. Atmospheric chemistry and physics. 17(17). 10395–10403. 20 indexed citations
20.
Zheng, Jun, Min Hu, Renyi Zhang, et al.. (2011). Measurements of gaseous H 2 SO 4 by AP-ID-CIMS during CAREBeijing 2008 Campaign. Atmospheric chemistry and physics. 11(15). 7755–7765. 48 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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