Xiaoyan Ma

4.6k total citations
62 papers, 2.0k citations indexed

About

Xiaoyan Ma is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Xiaoyan Ma has authored 62 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Atmospheric Science, 48 papers in Global and Planetary Change and 18 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Xiaoyan Ma's work include Atmospheric chemistry and aerosols (51 papers), Atmospheric aerosols and clouds (42 papers) and Atmospheric Ozone and Climate (27 papers). Xiaoyan Ma is often cited by papers focused on Atmospheric chemistry and aerosols (51 papers), Atmospheric aerosols and clouds (42 papers) and Atmospheric Ozone and Climate (27 papers). Xiaoyan Ma collaborates with scholars based in China, United States and Germany. Xiaoyan Ma's co-authors include Fangqun Yu, Hailing Jia, Tong Sha, Knut von Salzen, Gan Luo, Rong Tian, Johannes Quaas, J. Li, Jason N. S. Cole and John Scinocca and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Xiaoyan Ma

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Ma China 25 1.6k 1.5k 511 280 95 62 2.0k
Jinsen Shi China 27 1.6k 1.0× 1.5k 1.0× 623 1.2× 267 1.0× 127 1.3× 69 2.0k
Marc Mallet France 25 1.3k 0.8× 1.3k 0.9× 334 0.7× 144 0.5× 76 0.8× 65 1.6k
Cheng‐Hsuan Lu United States 18 910 0.6× 850 0.6× 215 0.4× 309 1.1× 34 0.4× 51 1.2k
Cheol‐Hee Kim South Korea 22 1.1k 0.7× 785 0.5× 628 1.2× 338 1.2× 47 0.5× 108 1.4k
Miha Razinger United Kingdom 8 2.1k 1.3× 2.2k 1.5× 465 0.9× 248 0.9× 90 0.9× 10 2.6k
V. Vinoj India 27 2.0k 1.2× 2.1k 1.5× 590 1.2× 388 1.4× 69 0.7× 72 2.5k
Francesca Barnaba Italy 28 1.7k 1.0× 1.5k 1.0× 534 1.0× 275 1.0× 104 1.1× 60 1.9k
Sheng‐Hsiang Wang Taiwan 30 1.8k 1.1× 1.5k 1.1× 1.2k 2.3× 292 1.0× 49 0.5× 86 2.4k
Wei‐Nai Chen Taiwan 28 1.9k 1.1× 1.2k 0.8× 1.1k 2.1× 602 2.1× 75 0.8× 77 2.2k
Servanne Chevaillier France 21 1.2k 0.7× 833 0.6× 465 0.9× 157 0.6× 342 3.6× 38 1.4k

Countries citing papers authored by Xiaoyan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Ma. A scholar is included among the top collaborators of Xiaoyan Ma 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 Xiaoyan Ma. Xiaoyan Ma 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.
Zhao, Jianqi, Xiaoyan Ma, Johannes Quaas, & Hailing Jia. (2024). Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model. Atmospheric chemistry and physics. 24(16). 9101–9118. 4 indexed citations
2.
Ma, Xiaoyan, et al.. (2024). Current research and future prospects of immunonutrition in gastrointestinal malignancies. Frontiers in Immunology. 15. 1420415–1420415. 2 indexed citations
3.
Zang, Zengliang, Xiaoyan Ma, Yi Li, et al.. (2022). Four-dimensional variational assimilation for SO 2 emission and its application around the COVID-19 lockdown in the spring 2020 over China. Atmospheric chemistry and physics. 22(19). 13183–13200. 11 indexed citations
4.
Tian, Rong, Xiaoyan Ma, & Jianqi Zhao. (2021). A revised mineral dust emission scheme in GEOS-Chem: improvements in dust simulations over China. Atmospheric chemistry and physics. 21(6). 4319–4337. 19 indexed citations
5.
Jia, Hailing, Xiaoyan Ma, Fangqun Yu, & Johannes Quaas. (2021). Author Correction: Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods. Nature Communications. 12(1). 4241–4241. 1 indexed citations
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Jia, Hailing, et al.. (2019). Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes?. Atmospheric chemistry and physics. 19(13). 8879–8896. 35 indexed citations
9.
Jia, Hailing, Xiaoyan Ma, Fangqun Yu, Yangang Liu, & Yan Yin. (2019). Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus. Geophysical Research Letters. 46(22). 13517–13525. 23 indexed citations
10.
Jia, Hailing, Xiaoyan Ma, & Yangang Liu. (2019). Exploring aerosol–cloud interaction using VOCALS-REx aircraft measurements. Atmospheric chemistry and physics. 19(12). 7955–7971. 17 indexed citations
11.
Chang, Yunhua, Yanlin Zhang, Chongguo Tian, et al.. (2018). Nitrogen isotope fractionation during gas-to-particle conversion of NO x to NO 3 − in the atmosphere – implications for isotope-based NO x source apportionment. Atmospheric chemistry and physics. 18(16). 11647–11661. 76 indexed citations
12.
Stier, Philip, Nick Schutgens, Nicolas Bellouin, et al.. (2013). Host model uncertainties in aerosol radiative forcing estimates: results from the AeroCom Prescribed intercomparison study. Atmospheric chemistry and physics. 13(6). 3245–3270. 120 indexed citations
13.
Ma, Xiaoyan, et al.. (2013). Comparison of AOD between CALIPSO and MODIS: significant differences over major dust and biomass burning regions. Atmospheric measurement techniques. 6(9). 2391–2401. 96 indexed citations
14.
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
15.
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
16.
Ma, Xiaoyan, Fangqun Yu, & Gan Luo. (2012). Aerosol direct radiative forcing based on GEOS-Chem-APM and uncertainties. Atmospheric chemistry and physics. 12(12). 5563–5581. 67 indexed citations
17.
Ma, Xiaoyan, Knut von Salzen, & Jason N. S. Cole. (2010). Constraints on interactions between aerosols and clouds on a global scale from a combination of MODIS-CERES satellite data and climate simulations. Atmospheric chemistry and physics. 10(20). 9851–9861. 14 indexed citations
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Li, J., Xiaoyan Ma, Knut von Salzen, & S. Dobbie. (2008). Parameterization of sea-salt optical properties and physics of the associated radiative forcing. Atmospheric chemistry and physics. 8(16). 4787–4798. 29 indexed citations
20.
Ma, Xiaoyan, Knut von Salzen, & J. Li. (2008). Modelling sea salt aerosol and its direct and indirect effects on climate. Atmospheric chemistry and physics. 8(5). 1311–1327. 73 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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