Xinghua Qiu

7.8k total citations · 3 hit papers
146 papers, 6.3k citations indexed

About

Xinghua Qiu is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Pollution. According to data from OpenAlex, Xinghua Qiu has authored 146 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Health, Toxicology and Mutagenesis, 38 papers in Atmospheric Science and 27 papers in Pollution. Recurrent topics in Xinghua Qiu's work include Air Quality and Health Impacts (105 papers), Toxic Organic Pollutants Impact (47 papers) and Climate Change and Health Impacts (46 papers). Xinghua Qiu is often cited by papers focused on Air Quality and Health Impacts (105 papers), Toxic Organic Pollutants Impact (47 papers) and Climate Change and Health Impacts (46 papers). Xinghua Qiu collaborates with scholars based in China, United States and United Kingdom. Xinghua Qiu's co-authors include Tong Zhu, Ronald A. Hites, Jianxin Hu, Yan Lin, Bo Yao, Jin Ma, Robert M. Bigsby, Yiqiu Ma, Junxia Wang and Qiaoyun Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Environmental Science & Technology.

In The Last Decade

Xinghua Qiu

140 papers receiving 6.2k citations

Hit Papers

Contribution of Dicofol to the Current DDT Pollution in C... 2005 2026 2012 2019 2005 2016 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinghua Qiu China 40 5.2k 1.5k 1.4k 694 388 146 6.3k
Guo‐Ping Chang‐Chien Taiwan 43 3.6k 0.7× 1.1k 0.7× 952 0.7× 242 0.3× 387 1.0× 268 6.2k
Kazuichi Hayakawa Japan 47 5.4k 1.0× 1.1k 0.7× 1.9k 1.4× 355 0.5× 954 2.5× 405 8.9k
Staci L. Massey Simonich United States 48 5.6k 1.1× 2.5k 1.6× 2.0k 1.4× 414 0.6× 355 0.9× 110 7.5k
Liyan Liu China 45 3.8k 0.7× 1.4k 0.9× 872 0.6× 199 0.3× 286 0.7× 209 5.5k
Zhiqiang Yu China 49 4.7k 0.9× 2.8k 1.8× 797 0.6× 463 0.7× 497 1.3× 276 8.2k
Wan-Li Ma China 45 4.1k 0.8× 1.6k 1.0× 1.0k 0.7× 266 0.4× 294 0.8× 164 5.2k
Wenxin Liu China 38 5.1k 1.0× 2.4k 1.6× 1.9k 1.3× 799 1.2× 207 0.5× 117 6.9k
Guoying Sheng China 43 4.1k 0.8× 1.1k 0.7× 2.9k 2.0× 843 1.2× 217 0.6× 125 5.8k
Yanyan Zhang China 40 3.6k 0.7× 1.3k 0.9× 1.8k 1.3× 442 0.6× 182 0.5× 89 5.5k
John R. Froines United States 40 5.2k 1.0× 1.0k 0.7× 1.6k 1.1× 1.5k 2.1× 282 0.7× 98 7.0k

Countries citing papers authored by Xinghua Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Xinghua Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghua Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinghua Qiu. A scholar is included among the top collaborators of Xinghua Qiu 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 Xinghua Qiu. Xinghua Qiu 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.
Li, Haonan, Yiqun Han, Yanwen Wang, et al.. (2025). Lysoglycerophospholipid metabolism alterations associated with ambient fine particulate matter exposure: Insights into the pro-atherosclerotic effects. Environmental Pollution. 367. 125646–125646.
2.
Chen, Wu, Yiqun Han, Yifan Xu, et al.. (2024). Fine particulate matter exposure and systemic inflammation: A potential mediating role of bioactive lipids. The Science of The Total Environment. 931. 172993–172993.
3.
Lin, Yan, Xiaodi Shi, Xinghua Qiu, et al.. (2024). Reduction in polycyclic aromatic hydrocarbon exposure in Beijing following China’s clean air actions. Science Bulletin. 69(20). 3283–3290. 9 indexed citations
5.
Tang, Rui, Jiong Cao, Jing Shang, et al.. (2024). Coupling Effect of Elemental Carbon and Organic Carbon on the Changes of Optical Properties and Oxidative Potential of Soot Particles under Visible Light. Environmental Science & Technology. 58(44). 19832–19842. 2 indexed citations
6.
Liu, Jinming, Yan Lin, Yifang Zhu, et al.. (2023). Exposure Markers of Nitrated Aromatic Compounds and the Association with Nitrative Stress. Environmental Science & Technology Letters. 10(9). 728–734. 2 indexed citations
7.
Wang, Teng, Yiqun Han, Xi Chen, et al.. (2023). Particulate Air Pollution and Blood Pressure: Signaling by the Arachidonate Metabolism. Hypertension. 80(12). 2687–2696. 7 indexed citations
8.
Kuang, Yu, et al.. (2023). Molecular Composition of Beijing PM2.5 Brown Carbon Revealed by an Untargeted Approach Based on Gas Chromatography and Time-of-Flight Mass Spectrometry. Environmental Science & Technology. 57(2). 909–919. 13 indexed citations
9.
Miao, Xiren, et al.. (2023). Fault Identification Method for In-Core Self-Powered Neutron Detectors Combining Graph Convolutional Network and Stacking Ensemble Learning. Journal of Shanghai Jiaotong University (Science). 30(5). 1018–1027.
12.
Xu, Yifan, Yiqun Han, Yanwen Wang, et al.. (2022). Ambient Air Pollution and Atherosclerosis: A Potential Mediating Role of Sphingolipids. Arteriosclerosis Thrombosis and Vascular Biology. 42(7). 906–918. 20 indexed citations
13.
Chen, Xi, Lina Zhang, Chen Wu, et al.. (2021). Associations between differences in anemia-related blood cell parameters and short-term exposure to ambient particle pollutants in middle-aged and elderly residents in Beijing, China. The Science of The Total Environment. 816. 151520–151520. 14 indexed citations
14.
He, Linchen, Drew B. Day, Meilin Yan, et al.. (2021). The associations of nitrated polycyclic aromatic hydrocarbon exposures with plasma glucose and amino acids. Environmental Pollution. 289. 117945–117945. 7 indexed citations
15.
An, Jing, Lu Wang, Weiwei Yao, et al.. (2021). Transcriptomics changes and the candidate pathway in human macrophages induced by different PM2.5 extracts. Environmental Pollution. 289. 117890–117890. 17 indexed citations
16.
Wang, Teng, Yiqun Han, Haonan Li, et al.. (2021). Proinflammatory lipid signals trigger the health effects of air pollution in individuals with prediabetes. Environmental Pollution. 290. 118008–118008. 14 indexed citations
17.
Gao, Xiaoqian, Xin Li, Xinghua Qiu, et al.. (2021). The Association Between Leucine and Diabetic Nephropathy in Different Gender: A Cross-Sectional Study in Chinese Patients With Type 2 Diabetes. Frontiers in Endocrinology. 11. 619422–619422. 6 indexed citations
18.
Ma, Yiqiu, Yubo Cheng, Xinghua Qiu, et al.. (2018). Sources and oxidative potential of water-soluble humic-like substances (HULIS WS ) in fine particulate matter (PM 2.5 ) in Beijing. Atmospheric chemistry and physics. 18(8). 5607–5617. 103 indexed citations
19.
Pardo, Michal, Fanfan Xu, Xinghua Qiu, Tong Zhu, & Yinon Rudich. (2018). Seasonal variations in fine particle composition from Beijing prompt oxidative stress response in mouse lung and liver. The Science of The Total Environment. 626. 147–155. 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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