Xia Meng

11.2k total citations · 5 hit papers
176 papers, 7.4k citations indexed

About

Xia Meng is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Pollution. According to data from OpenAlex, Xia Meng has authored 176 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Health, Toxicology and Mutagenesis, 46 papers in Environmental Engineering and 28 papers in Pollution. Recurrent topics in Xia Meng's work include Air Quality and Health Impacts (131 papers), Climate Change and Health Impacts (85 papers) and Air Quality Monitoring and Forecasting (42 papers). Xia Meng is often cited by papers focused on Air Quality and Health Impacts (131 papers), Climate Change and Health Impacts (85 papers) and Air Quality Monitoring and Forecasting (42 papers). Xia Meng collaborates with scholars based in China, United States and South Korea. Xia Meng's co-authors include Haidong Kan, Renjie Chen, Yang Liu, Cong Liu, Maigeng Zhou, Guannan Geng, Peng Yin, Zhuohui Zhao, Qingyang Xiao and Yue Niu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Xia Meng

155 papers receiving 7.4k citations

Hit Papers

Fine Particulate Air Poll... 2017 2026 2020 2023 2017 2017 2017 2022 2022 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xia Meng 6.1k 2.5k 1.5k 1.1k 917 176 7.4k
Qian Di 5.6k 0.9× 2.0k 0.8× 974 0.7× 660 0.6× 930 1.0× 147 7.2k
Tiantian Li 4.9k 0.8× 1.9k 0.8× 926 0.6× 766 0.7× 986 1.1× 270 7.5k
Massimo Stafoggia 6.9k 1.1× 2.1k 0.9× 1.4k 0.9× 1.2k 1.1× 867 0.9× 226 8.2k
Tao Xue 4.2k 0.7× 1.7k 0.7× 1.6k 1.1× 720 0.6× 763 0.8× 174 5.6k
Jeremy A. Sarnat 5.5k 0.9× 2.3k 0.9× 1.5k 1.0× 876 0.8× 760 0.8× 117 6.5k
Cong Liu 6.0k 1.0× 1.8k 0.7× 815 0.5× 525 0.5× 1.2k 1.3× 227 7.7k
Evangelia Samoli 6.1k 1.0× 1.8k 0.7× 839 0.6× 590 0.5× 1.1k 1.2× 156 7.6k
Chang‐Chuan Chan 5.8k 1.0× 1.8k 0.7× 939 0.6× 584 0.5× 800 0.9× 260 9.2k
Sarah B. Henderson 4.4k 0.7× 1.7k 0.7× 1.5k 1.0× 2.1k 1.9× 697 0.8× 149 7.4k
Susan C. Anenberg 4.6k 0.8× 1.5k 0.6× 2.1k 1.4× 1.5k 1.4× 795 0.9× 104 6.8k

Countries citing papers authored by Xia Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xia Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Meng. A scholar is included among the top collaborators of Xia Meng 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 Xia Meng. Xia Meng 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.
Yu, Jing, et al.. (2025). Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach. BMC Medical Informatics and Decision Making. 25(1). 30–30. 6 indexed citations
2.
Wang, Menghao, Yali Wang, Liang He, et al.. (2025). Associations between long-term particulate matter exposure and various metabolic syndrome components: Evidence from a prospective cohort study in Eastern China. Journal of Hazardous Materials Advances. 18. 100656–100656.
3.
Meng, Xia, Xu Su, Yuqing Huang, et al.. (2025). Long-term low-level ozone exposure and the incidence of type 2 diabetes mellitus and glycemic levels: A prospective cohort study from Southwest China. Ecotoxicology and Environmental Safety. 293. 118028–118028. 1 indexed citations
4.
Chen, Jiaxin, Su Shi, Xinyue Li, et al.. (2025). Predicting hourly indoor ozone concentrations with sensor-based measurements and easily accessible predictors. PubMed. 4(3). 100170–100170.
5.
Meng, Xia, et al.. (2025). Associations of long-term exposure to ambient PM2.5 and its constituents with risk of incident hypertension in rural China. Atmospheric Pollution Research. 16(11). 102665–102665.
8.
Li, Xinyue, Xuan Zhang, Ruixue Song, et al.. (2025). Association between nitrogen dioxide exposure and out-of-hospital cardiac arrest onset in China: A multicenter, time-stratified, case-crossover study. Journal of Hazardous Materials. 493. 138341–138341.
9.
Chen, Jiaxin, Shengqiang Zhu, Peng Wang, et al.. (2024). Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models. The Science of The Total Environment. 926. 171831–171831. 15 indexed citations
10.
Li, Yang, Menghao Wang, Renjie Chen, et al.. (2024). Long–term exposure to particulate matter pollution and incidence of ischemic and hemorrhagic stroke: A prospective cohort study in Eastern China. Environmental Pollution. 358. 124446–124446. 1 indexed citations
11.
Zhang, Qingli, Huihuan Luo, Kexin Yu, et al.. (2024). Long-term exposure to ambient air pollution and incident gout: A prospective cohort study in the UK Biobank. Environmental Pollution. 345. 123540–123540. 5 indexed citations
12.
Zhang, Haitao, Jing Wang, Xia Meng, et al.. (2024). Parathyroid hormone mediates the adverse impact of air pollution exposure on serum 25-hydroxyvitamin D: A nationwide cross-sectional study in China. Environmental Research. 263(Pt 2). 120063–120063.
13.
Meng, Xia, Yongfu Yu, Zhiping Niu, et al.. (2024). Greenness and its composition and configuration in association with allergic rhinitis in preschool children. Environmental Research. 251. 118627–118627. 16 indexed citations
14.
Yin, Peng, Xiaolei Lin, Su Shi, et al.. (2024). Joint Effect of Short-Term Exposure to Fine Particulate Matter and Ozone on Mortality: A Time Series Study in 272 Chinese Cities. Environmental Science & Technology. 58(29). 12865–12874. 4 indexed citations
15.
Hang, Yun, Qiang Pu, Qiao Zhu, et al.. (2024). Application of multi-angle spaceborne observations in characterizing the long-term particulate organic carbon pollution in China. The Science of The Total Environment. 958. 177883–177883.
16.
Hang, Yun, Xia Meng, Yuzhi Xi, et al.. (2023). Atmospheric elemental carbon pollution and its regional health disparities in China. Environmental Research Letters. 18(12). 124017–124017. 3 indexed citations
17.
Wang, Shuai, et al.. (2023). Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020. Chemosphere. 330. 138742–138742. 13 indexed citations
18.
Liu, Cong, Renjie Chen, Jian Lei, et al.. (2023). Ambient Nitrogen Dioxide and Hospitalizations of Full-Spectrum Respiratory Diseases: A National Case-Crossover Study. Environment & Health. 1(2). 130–138. 4 indexed citations
19.
Xiao, Qingyang, et al.. (2022). Spatiotemporal continuous estimates of daily 1 km PM 2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework. Atmospheric chemistry and physics. 22(19). 13229–13242. 57 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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