Song Gao

4.9k total citations · 1 hit paper
72 papers, 3.5k citations indexed

About

Song Gao is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Song Gao has authored 72 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Atmospheric Science, 36 papers in Health, Toxicology and Mutagenesis and 27 papers in Environmental Engineering. Recurrent topics in Song Gao's work include Atmospheric chemistry and aerosols (53 papers), Air Quality and Health Impacts (35 papers) and Air Quality Monitoring and Forecasting (26 papers). Song Gao is often cited by papers focused on Atmospheric chemistry and aerosols (53 papers), Air Quality and Health Impacts (35 papers) and Air Quality Monitoring and Forecasting (26 papers). Song Gao collaborates with scholars based in China, United States and Spain. Song Gao's co-authors include John H. Seinfeld, Richard C. Flagan, Thomas W. Kirchstetter, Peter V. Hobbs, N. L. Ng, Melita Keywood, Varuntida Varutbangkul, R. Bahreini, D́ean A. Hegg and Qingyan Fu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Song Gao

67 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on the importance of metals and metalloids in atmospheric dust and aerosol from mining operations

2012 449 citations Janae Csavina, Jason P. Field et al. The Science of The Total Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Song Gao China	28	2.5k	1.8k	1.1k	671	308	72	3.5k
Stephanie L. Shaw United States	31	2.6k 1.0×	1.6k 0.9×	1.0k 0.9×	774 1.2×	153 0.5×	72	3.9k
Lei Zhu China	31	2.0k 0.8×	1.3k 0.7×	1.1k 1.0×	588 0.9×	210 0.7×	120	2.9k
Cinzia Perrino Italy	37	2.4k 1.0×	2.5k 1.4×	912 0.8×	1.3k 1.9×	379 1.2×	120	4.0k
K. Maharaj Kumari India	31	1.7k 0.7×	1.6k 0.9×	724 0.6×	826 1.2×	259 0.8×	91	2.7k
Jeff Peischl United States	42	3.7k 1.5×	1.9k 1.1×	2.8k 2.5×	857 1.3×	268 0.9×	110	4.9k
Yong Pyo Kim South Korea	34	2.8k 1.1×	2.5k 1.4×	872 0.8×	889 1.3×	183 0.6×	134	3.9k
Jana B. Milford United States	35	2.0k 0.8×	1.8k 1.0×	788 0.7×	777 1.2×	211 0.7×	87	3.3k
Chen Wang China	35	1.5k 0.6×	2.3k 1.3×	406 0.4×	704 1.0×	474 1.5×	144	3.5k
Jianbo Zhang China	34	1.2k 0.5×	953 0.5×	685 0.6×	583 0.9×	167 0.5×	126	3.5k
Bin Zhou China	33	1.8k 0.7×	1.2k 0.7×	870 0.8×	1.1k 1.6×	228 0.7×	174	3.2k

Countries citing papers authored by Song Gao

Since Specialization

Citations

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

Fields of papers citing papers by Song Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Song Gao. A scholar is included among the top collaborators of Song Gao 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 Gao. Song Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gao, Song, et al.. (2025). Insight into VOCs source profiles by machine learning: Role of commonalities in synergistic pollution controls. Journal of Hazardous Materials. 492. 138222–138222. 4 indexed citations

Zhang, Yuanxin, et al.. (2025). Data-driven machine learning quantifies ozone transport in the Hangzhou Bay urban cluster. Frontiers of Environmental Science & Engineering. 19(12).

Zhang, Jiawen, et al.. (2024). Effects of modified atmospheres, temperature and humidity on the growth and development of Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae) in feihe infant milk powder. Journal of Stored Products Research. 108. 102378–102378. 1 indexed citations

Wang, Xiaoliang, et al.. (2024). Collaborative ship scheduling decision model for green tide salvage based on evolutionary population dynamics. Ocean Engineering. 304. 117796–117796. 3 indexed citations

Gao, Song, Xiang Ge, Yong Yang, et al.. (2023). Role of garbage classification in air pollution improvement of a municipal solid waste disposal base. Journal of Cleaner Production. 423. 138737–138737. 10 indexed citations

Han, Yu, Tao Wang, Rui Li, et al.. (2023). Measurement report: Volatile organic compound characteristics of the different land-use types in Shanghai: spatiotemporal variation, source apportionment and impact on secondary formations of ozone and aerosol. Atmospheric chemistry and physics. 23(4). 2877–2900. 10 indexed citations

Gao, Song, Yong Yang, Tong Xiao, et al.. (2023). Obtaining accurate non-methane hydrocarbon data for ambient air in urban areas: comparison of non-methane hydrocarbon data between indirect and direct methods. Atmospheric measurement techniques. 16(23). 5709–5723.

Gao, Song, Pandeng Zhao, Jian Wu, et al.. (2021). Characterization and influence of odorous gases on the working surface of a typical landfill site: A case study in a Chinese megacity. Atmospheric Environment. 262. 118628–118628. 14 indexed citations

Gao, Song, et al.. (2021). Stationary monitoring and source apportionment of VOCs in a chemical industrial park by combining rapid direct-inlet MSs with a GC-FID/MS. The Science of The Total Environment. 795. 148639–148639. 30 indexed citations

10.

Fu, Shaqi, et al.. (2021). Update on volatile organic compound (VOC) source profiles and ozone formation potential in synthetic resins industry in China. Environmental Pollution. 291. 118253–118253. 35 indexed citations

11.

Jia, Haohao, Song Gao, Yusen Duan, et al.. (2020). Investigation of health risk assessment and odor pollution of volatile organic compounds from industrial activities in the Yangtze River Delta region, China. Ecotoxicology and Environmental Safety. 208. 111474–111474. 67 indexed citations

12.

Zhang, Xufeng, Song Gao, Qingyan Fu, et al.. (2020). Impact of VOCs emission from iron and steel industry on regional O3 and PM2.5 pollutions. Environmental Science and Pollution Research. 27(23). 28853–28866. 37 indexed citations

13.

Ai, Bo, et al.. (2019). An Intelligent Decision Algorithm for the Generation of Maritime Search and Rescue Emergency Response Plans. IEEE Access. 7. 155835–155850. 41 indexed citations

14.

Han, Deming, Qingyan Fu, Song Gao, et al.. (2019). Investigate the impact of local iron–steel industrial emission on atmospheric mercury concentration in Yangtze River Delta, China. Environmental Science and Pollution Research. 26(6). 5862–5872. 16 indexed citations

15.

Wang, Shanshan, Chanzhen Shi, Qingyan Fu, et al.. (2015). Atmospheric ammonia and its impacts on regional air quality over the megacity of Shanghai, China. Scientific Reports. 5(1). 15842–15842. 207 indexed citations

16.

Tang, Yong, Yuanlong Huang, Ling Li, et al.. (2014). Characterization of aerosol optical properties, chemical composition and mixing states in the winter season in Shanghai, China. Journal of Environmental Sciences. 26(12). 2412–2422. 10 indexed citations

17.

Csavina, Janae, Jason P. Field, Mark Patrick Taylor, et al.. (2012). A review on the importance of metals and metalloids in atmospheric dust and aerosol from mining operations. The Science of The Total Environment. 433. 58–73. 449 indexed citations breakdown →

18.

Gao, Song. (2011). The Season Changing of Air Quality in Shanghai and the Analysis of High Pollution Cases. Environmental Science & Technology. 1 indexed citations

19.

Gao, Song. (2011). Analysis of Characteristics and Affecting Factors of Atmospheric CO_2 Concentration in Urban Area in Summer, Shanghai. Environmental Monitoring in China.

20.

Asa-Awuku, Akua, Athanasios Nenes, Song Gao, Richard C. Flagan, & John H. Seinfeld. (2010). Water-soluble SOA from Alkene ozonolysis: composition and droplet activation kinetics inferences from analysis of CCN activity. Atmospheric chemistry and physics. 10(4). 1585–1597. 76 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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