Guangfa Wang

1.9k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Guangfa Wang is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Speech and Hearing. According to data from OpenAlex, Guangfa Wang has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Health, Toxicology and Mutagenesis, 7 papers in Environmental Engineering and 6 papers in Speech and Hearing. Recurrent topics in Guangfa Wang's work include Air Quality and Health Impacts (28 papers), Climate Change and Health Impacts (16 papers) and Air Quality Monitoring and Forecasting (7 papers). Guangfa Wang is often cited by papers focused on Air Quality and Health Impacts (28 papers), Climate Change and Health Impacts (16 papers) and Air Quality Monitoring and Forecasting (7 papers). Guangfa Wang collaborates with scholars based in China and United States. Guangfa Wang's co-authors include Tong Zhu, Pamela Ohman‐Strickland, David Q. Rich, Junfeng Zhang, Howard M. Kipen, Wei Huang, Min Hu, Jiping Liao, Ping Zhu and Yijue Zhong and has published in prestigious journals such as JAMA, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Guangfa Wang

33 papers receiving 1.5k citations

Hit Papers

Association Between Changes in Air Pollution Levels Durin... 2012 2026 2016 2021 2012 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
Guangfa Wang China 18 1.1k 311 241 206 204 33 1.5k
Hortensia Moreno-Macías Mexico 21 906 0.8× 238 0.8× 148 0.6× 227 1.1× 285 1.4× 63 1.9k
Jiyu Cao China 23 1.0k 0.9× 205 0.7× 323 1.3× 102 0.5× 162 0.8× 52 1.5k
Albino Barraza‐Villarreal Mexico 24 769 0.7× 204 0.7× 123 0.5× 321 1.6× 182 0.9× 82 1.8k
Jenny A. Bosson Sweden 21 915 0.8× 194 0.6× 234 1.0× 131 0.6× 167 0.8× 50 1.4k
Tatsushi Suwa Japan 14 987 0.9× 190 0.6× 288 1.2× 305 1.5× 129 0.6× 44 1.7k
Jacqueline D. Carter United States 25 1.1k 1.0× 210 0.7× 295 1.2× 352 1.7× 376 1.8× 34 1.9k
Miroslav Dostál Czechia 22 1.0k 0.9× 129 0.4× 279 1.2× 151 0.7× 207 1.0× 78 1.7k
Changyuan Yang China 23 1.1k 1.0× 348 1.1× 246 1.0× 92 0.4× 130 0.6× 44 1.5k
Matiana Ramírez-Aguilar Mexico 19 1.3k 1.2× 236 0.8× 146 0.6× 281 1.4× 210 1.0× 25 2.0k
Magnus Lundbäck Sweden 17 923 0.8× 284 0.9× 184 0.8× 96 0.5× 124 0.6× 35 1.5k

Countries citing papers authored by Guangfa Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangfa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangfa Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangfa Wang. A scholar is included among the top collaborators of Guangfa Wang 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 Guangfa Wang. Guangfa Wang 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.
Sun, Wenguang, et al.. (2024). Association between triglyceride glucose index and asthma exacerbation: A population-based study. Heart & Lung. 70. 1–7. 1 indexed citations
2.
Fan, Fangfang, et al.. (2021). Outdoor air pollution and the risk of asthma exacerbations in single lag0 and lag1 exposure patterns: a systematic review and meta-analysis. Journal of Asthma. 59(11). 2322–2339. 16 indexed citations
4.
Wang, Yunxia, et al.. (2021). Identification of exosome miRNAs in bronchial epithelial cells after PM2.5 chronic exposure. Ecotoxicology and Environmental Safety. 215. 112127–112127. 22 indexed citations
5.
Wang, Yunxia, Yijue Zhong, Jiping Liao, & Guangfa Wang. (2021). PM2.5-related cell death patterns. International Journal of Medical Sciences. 18(4). 1024–1029. 71 indexed citations
6.
Fan, Yong, et al.. (2020). Prevalence of interstitial lung disease in polymyositis and dermatomyositis: A meta-analysis from 2000 to 2020. Seminars in Arthritis and Rheumatism. 51(1). 175–191. 73 indexed citations
8.
Zhong, Yijue, Jiping Liao, Yan Hu, et al.. (2019). PM2.5 Upregulates MicroRNA-146a-3p and Induces M1 Polarization in RAW264.7 Cells by Targeting Sirtuin1. International Journal of Medical Sciences. 16(3). 384–393. 34 indexed citations
9.
Zhou, Tianyu, Yan Hu, Yunxia Wang, et al.. (2018). Fine particulate matter (PM2.5) aggravates apoptosis of cigarette-inflamed bronchial epithelium in vivo and vitro. Environmental Pollution. 248. 1–9. 47 indexed citations
10.
Liao, Jiping, et al.. (2017). Elevated expression of miR-146, miR-139 and miR-340 involved in regulating Th1/Th2 balance with acute exposure of fine particulate matter in mice. International Immunopharmacology. 54. 68–77. 69 indexed citations
11.
Zhu, Tong, et al.. (2017). Ambient Air Pollution and Out-of-Hospital Cardiac Arrest in Beijing, China. International Journal of Environmental Research and Public Health. 14(4). 423–423. 43 indexed citations
12.
Robson, Mark, Howard M. Kipen, Pamela Ohman‐Strickland, et al.. (2016). Association of air pollution sources and aldehydes with biomarkers of blood coagulation, pulmonary inflammation, and systemic oxidative stress. Journal of Exposure Science & Environmental Epidemiology. 27(3). 244–250. 16 indexed citations
13.
Cheng, Yuan, Nan Li, Junqing Liu, et al.. (2016). Living near a Major Road in Beijing. Chinese Medical Journal. 129(18). 2184–2190. 21 indexed citations
14.
Roy, Ananya, Jicheng Gong, Duncan C. Thomas, et al.. (2014). The Cardiopulmonary Effects of Ambient Air Pollution and Mechanistic Pathways: A Comparative Hierarchical Pathway Analysis. PLoS ONE. 9(12). e114913–e114913. 40 indexed citations
15.
Chen, Yan, Ying Zhang, Hui Liu, et al.. (2013). Changes of plasma vWF level in response to the improvement of air quality: an observation of 114 healthy young adults. Annals of Hematology. 92(4). 543–548. 7 indexed citations
16.
Gong, Jicheng, Tong Zhu, Howard M. Kipen, et al.. (2013). Malondialdehyde in exhaled breath condensate and urine as a biomarker of air pollution induced oxidative stress. Journal of Exposure Science & Environmental Epidemiology. 23(3). 322–327. 68 indexed citations
17.
Huang, Wei, Guangfa Wang, Shou‐En Lu, et al.. (2012). Inflammatory and Oxidative Stress Responses of Healthy Young Adults to Changes in Air Quality during the Beijing Olympics. American Journal of Respiratory and Critical Care Medicine. 186(11). 1150–1159. 198 indexed citations
18.
Rich, David Q., Howard M. Kipen, Wei Huang, et al.. (2012). Association Between Changes in Air Pollution Levels During the Beijing Olympics and Biomarkers of Inflammation and Thrombosis in Healthy Young Adults. JAMA. 307(19). 2068–78. 336 indexed citations breakdown →
19.
Wang, Guangfa, et al.. (2011). Bronchopulmonary Zygomycosis. Respiration. 82(4). 386–387. 1 indexed citations
20.
Kipen, Howard M., David Q. Rich, Wei Huang, et al.. (2010). Measurement of inflammation and oxidative stress following drastic changes in air pollution during the Beijing Olympics: a panel study approach. Annals of the New York Academy of Sciences. 1203(1). 160–167. 41 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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