Gan Luo

6.8k total citations · 1 hit paper
66 papers, 2.2k citations indexed

About

Gan Luo is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Gan Luo has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Atmospheric Science, 49 papers in Global and Planetary Change and 22 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Gan Luo's work include Atmospheric chemistry and aerosols (52 papers), Atmospheric aerosols and clouds (39 papers) and Atmospheric Ozone and Climate (32 papers). Gan Luo is often cited by papers focused on Atmospheric chemistry and aerosols (52 papers), Atmospheric aerosols and clouds (39 papers) and Atmospheric Ozone and Climate (32 papers). Gan Luo collaborates with scholars based in United States, China and Canada. Gan Luo's co-authors include Fangqun Yu, Z. Wang, Xiaoyan Ma, Arshad Arjunan Nair, R. P. Turco, Yele Sun, Guoshun Zhuang, Jamiu Adetayo Adeniran, Q. Wang and Jintai Lin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Gan Luo

61 papers receiving 2.1k citations

Hit Papers

Source sector and fuel contributions to ambient PM2.5 and... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gan Luo United States 23 1.7k 1.2k 1.0k 317 132 66 2.2k
Guang Zeng New Zealand 26 1.8k 1.1× 1.4k 1.1× 746 0.7× 208 0.7× 68 0.5× 74 2.5k
Sophie Szopa France 30 2.0k 1.2× 1.5k 1.2× 846 0.8× 270 0.9× 173 1.3× 66 2.5k
Eric M. Leibensperger United States 15 1.7k 1.0× 1.2k 1.0× 930 0.9× 197 0.6× 102 0.8× 33 2.1k
Sajeev Philip United States 19 1.6k 0.9× 1.1k 0.9× 1.1k 1.1× 447 1.4× 141 1.1× 34 2.1k
Christine F. Braban United Kingdom 23 1.1k 0.7× 697 0.6× 780 0.8× 423 1.3× 144 1.1× 62 1.8k
Guillaume Siour France 22 1.3k 0.7× 1.1k 0.9× 954 1.0× 490 1.5× 159 1.2× 76 2.0k
Alexandra P. Tsimpidi United States 25 1.8k 1.1× 1.1k 0.9× 1.1k 1.1× 268 0.8× 215 1.6× 45 2.1k
Zhiqiang Ma China 27 1.8k 1.0× 709 0.6× 1.5k 1.5× 856 2.7× 194 1.5× 92 2.2k
Dingli Yue China 23 1.3k 0.8× 520 0.4× 1.3k 1.3× 569 1.8× 192 1.5× 45 1.8k
Angela Marinoni Italy 32 2.7k 1.6× 1.9k 1.5× 1.4k 1.4× 356 1.1× 158 1.2× 89 3.1k

Countries citing papers authored by Gan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Gan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gan Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Gan Luo. A scholar is included among the top collaborators of Gan Luo 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 Gan Luo. Gan Luo 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.
Gao, Donghong, Samantha Friedman, Akiko S. Hosler, et al.. (2025). Unseasonal extreme cold weather, ultrafine particles, and diabetes hospitalizations: an unexpected time window for intervention. SHILAP Revista de lepidopterología. 15. 100140–100140. 1 indexed citations
2.
Yu, Fangqun, B. E. Anderson, Jeffrey R. Pierce, et al.. (2024). On Nucleation Pathways and Particle Size Distribution Evolutions in Stratospheric Aircraft Exhaust Plumes with H2SO4 Enhancement. Environmental Science & Technology. 58(16). 6934–6944. 3 indexed citations
3.
Yu, Fangqun, Arshad Arjunan Nair, Ursula Lauper, et al.. (2024). Mysteriously rapid rise in Legionnaires’ disease incidence correlates with declining atmospheric sulfur dioxide. PNAS Nexus. 3(3). pgae085–pgae085. 3 indexed citations
4.
Xu, Junwei, Jintai Lin, Gan Luo, Jamiu Adetayo Adeniran, & Hao Kong. (2023). Foreign emissions exacerbate PM 2.5 pollution in China through nitrate chemistry. Atmospheric chemistry and physics. 23(7). 4149–4163. 7 indexed citations
5.
Yu, Fangqun, Gan Luo, Arshad Arjunan Nair, Kostas Tsigaridis, & Susanne E. Bauer. (2022). Use of Machine Learning to Reduce Uncertainties in Particle Number Concentration and Aerosol Indirect Radiative Forcing Predicted by Climate Models. Geophysical Research Letters. 49(16). 10 indexed citations
7.
Nair, Arshad Arjunan, Fangqun Yu, & Gan Luo. (2022). The importance of ammonia for springtime atmospheric new particle formation and aerosol number abundance over the United States. The Science of The Total Environment. 863. 160756–160756. 9 indexed citations
8.
Lin, Shao, Xin Deng, Wangjian Zhang, et al.. (2022). Particle surface area, ultrafine particle number concentration, and cardiovascular hospitalizations. Environmental Pollution. 310. 119795–119795. 23 indexed citations
9.
Marais, Eloïse A., Martin Van Damme, Lieven Clarisse, et al.. (2021). UK Ammonia Emissions Estimated With Satellite Observations and GEOS‐Chem. Journal of Geophysical Research Atmospheres. 126(18). 32 indexed citations
10.
Lu, Gongda, Eloïse A. Marais, Tuan V. Vu, et al.. (2021). Assessment of strict autumn-winter emission controls on air quality in the Beijing-Tianjin-Hebei region. 1 indexed citations
11.
McDuffie, Erin E., Randall V. Martin, Joseph V. Spadaro, et al.. (2021). Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales. Nature Communications. 12(1). 3594–3594. 373 indexed citations breakdown →
12.
Zhang, Yanda, Fangqun Yu, Gan Luo, Jen‐Ping Chen, & Charles C.‐K. Chou. (2020). Impact of Mineral Dust on Summertime Precipitation Over the Taiwan Region. Journal of Geophysical Research Atmospheres. 125(19). 12 indexed citations
13.
Zhang, Yanda, Fangqun Yu, Gan Luo, Jen‐Ping Chen, & Charles C.‐K. Chou. (2020). Impact of mineral dust on summertime precipitation over the Taiwan region. 1 indexed citations
14.
Li, Jianping, Z. Wang, Guoshun Zhuang, et al.. (2012). Mixing of Asian mineral dust with anthropogenic pollutants over East Asia: a model case study of a super-duststorm in March 2010. Atmospheric chemistry and physics. 12(16). 7591–7607. 152 indexed citations
15.
Yu, Fangqun, Gan Luo, & Xiaoyan Ma. (2012). Regional and global modeling of aerosol optical properties with a size, composition, and mixing state resolved particle microphysics model. Atmospheric chemistry and physics. 12(13). 5719–5736. 50 indexed citations
16.
Yu, Fangqun, et al.. (2012). Indirect radiative forcing by ion-mediated nucleation of aerosol. Atmospheric chemistry and physics. 12(23). 11451–11463. 24 indexed citations
17.
Luo, Gan & Fangqun Yu. (2010). A numerical evaluation of global oceanic emissions of α-pinene and isoprene. Atmospheric chemistry and physics. 10(4). 2007–2015. 92 indexed citations
20.
Luo, Gan, et al.. (2006). A Global Environmental Atmospheric Transport Model(GEATM): Model Description and Validation. Chinese Journal of Atmospheric Sciences. 11 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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