Yanhua Fang

1.1k total citations
17 papers, 856 citations indexed

About

Yanhua Fang is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Yanhua Fang has authored 17 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 6 papers in Environmental Engineering and 4 papers in Atmospheric Science. Recurrent topics in Yanhua Fang's work include Air Quality and Health Impacts (14 papers), Air Quality Monitoring and Forecasting (6 papers) and Atmospheric chemistry and aerosols (4 papers). Yanhua Fang is often cited by papers focused on Air Quality and Health Impacts (14 papers), Air Quality Monitoring and Forecasting (6 papers) and Atmospheric chemistry and aerosols (4 papers). Yanhua Fang collaborates with scholars based in China, United Kingdom and Hong Kong. Yanhua Fang's co-authors include Junxia Wang, Xinghua Qiu, Tong Zhu, Di Hu, Fanfan Xu, Yiqiu Ma, Yan Lin, Ran Li, Yifang Zhu and Yusheng Wu and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.

In The Last Decade

Yanhua Fang

17 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanhua Fang China 13 644 345 211 128 84 17 856
Hung-Che Chiang Taiwan 14 691 1.1× 275 0.8× 170 0.8× 69 0.5× 62 0.7× 18 967
Xiaoyan Xia China 18 537 0.8× 328 1.0× 100 0.5× 157 1.2× 78 0.9× 40 894
Heung-Bin Lim South Korea 12 568 0.9× 135 0.4× 152 0.7× 103 0.8× 38 0.5× 29 879
Han-Jae Shin South Korea 8 314 0.5× 123 0.4× 110 0.5× 81 0.6× 37 0.4× 11 482
Samera H. Hamad United States 12 476 0.7× 338 1.0× 193 0.9× 34 0.3× 130 1.5× 16 751
Wanyanhan Jiang China 14 374 0.6× 168 0.5× 114 0.5× 57 0.4× 42 0.5× 34 549
Mansi Negi India 16 229 0.4× 114 0.3× 103 0.5× 110 0.9× 85 1.0× 33 710
Koichiro Hirano Japan 14 406 0.6× 295 0.9× 196 0.9× 72 0.6× 52 0.6× 32 737
Nilmara de Oliveira Alves Brazil 12 492 0.8× 239 0.7× 72 0.3× 28 0.2× 120 1.4× 16 676
Andy Ghio United States 10 862 1.3× 181 0.5× 282 1.3× 96 0.8× 26 0.3× 12 1.1k

Countries citing papers authored by Yanhua Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yanhua Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanhua Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanhua Fang. A scholar is included among the top collaborators of Yanhua Fang 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 Yanhua Fang. Yanhua Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Fang, Yanhua, Sijing Chen, Hongsheng Chen, et al.. (2024). Patient-derived organoid elucidates the identical clonal origin of bilateral breast cancer with diverse molecular subtypes. Frontiers in Oncology. 14. 1361603–1361603. 2 indexed citations
2.
Wang, Teng, Yiqun Han, Haonan Li, et al.. (2021). Fine particulate matter and vasoactive 20-hydroxyeicosatetraenoic acid: Insights into the mechanisms of the prohypertensive effects of particulate air pollution. The Science of The Total Environment. 806(Pt 3). 151298–151298. 8 indexed citations
3.
Han, Yiqun, Xinghua Qiu, Yanwen Wang, et al.. (2020). Association of internal exposure to polycyclic aromatic hydrocarbons with inflammation and oxidative stress in prediabetic and healthy individuals. Chemosphere. 253. 126748–126748. 44 indexed citations
4.
Xu, Fanfan, Xiaodi Shi, Xinghua Qiu, et al.. (2020). Investigation of the chemical components of ambient fine particulate matter (PM2.5) associated with in vitro cellular responses to oxidative stress and inflammation. Environment International. 136. 105475–105475. 91 indexed citations
5.
Fan, Yunfei, Yiqun Han, Yingjun Liu, et al.. (2020). Biases Arising from the Use of Ambient Measurements to Represent Personal Exposure in Evaluating Inflammatory Responses to Fine Particulate Matter: Evidence from a Panel Study in Beijing, China. Environmental Science & Technology Letters. 7(10). 746–752. 13 indexed citations
6.
Li, Yingruo, Chunxiang Ye, Junxia Wang, et al.. (2019). Using wavelet transform to analyse on-road mobile measurements of air pollutants: a case study to evaluate vehicle emission control policies during the 2014 APEC summit. Atmospheric chemistry and physics. 19(22). 13841–13857. 14 indexed citations
7.
Fang, Yanhua, Chunxiang Ye, Junxia Wang, et al.. (2019). RH and O 3 concentration as two prerequisites for sulfate formation. 5 indexed citations
8.
Fang, Yanhua, Chunxiang Ye, Junxia Wang, et al.. (2019). Relative humidity and O 3 concentration as two prerequisites for sulfate formation. Atmospheric chemistry and physics. 19(19). 12295–12307. 43 indexed citations
9.
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
10.
Xu, Fanfan, Xinghua Qiu, Yu Shang, et al.. (2018). Effects on IL-1β signaling activation induced by water and organic extracts of fine particulate matter (PM2.5) in vitro. Environmental Pollution. 237. 592–600. 96 indexed citations
11.
Liang, Pengfei, Tong Zhu, Yanhua Fang, et al.. (2017). The role of meteorological conditions and pollution control strategies in reducing air pollution in Beijing during APEC 2014 and Victory Parade 2015. Atmospheric chemistry and physics. 17(22). 13921–13940. 69 indexed citations
13.
Cao, Yun‐Feng, Qingjun Wang, Peng Gao, et al.. (2016). A dried blood spot mass spectrometry metabolomic approach for rapid breast cancer detection. OncoTargets and Therapy. 9. 1389–1389. 77 indexed citations
14.
Hu, Zhansheng, Zhitu Zhu, Yun‐Feng Cao, et al.. (2016). Rapid and Sensitive Differentiating Ischemic and Hemorrhagic Strokes by Dried Blood Spot Based Direct Injection Mass Spectrometry Metabolomics Analysis. Journal of Clinical Laboratory Analysis. 30(6). 823–830. 26 indexed citations
15.
Qiu, Xinghua, et al.. (2016). Macrophage-Mediated Effects of Airborne Fine Particulate Matter (PM2.5) on Hepatocyte Insulin Resistance in Vitro. ACS Omega. 1(5). 736–743. 24 indexed citations
16.
Lin, Yan, Yiqiu Ma, Xinghua Qiu, et al.. (2015). Sources, transformation, and health implications of PAHs and their nitrated, hydroxylated, and oxygenated derivatives in PM2.5in Beijing. Journal of Geophysical Research Atmospheres. 120(14). 7219–7228. 192 indexed citations
17.
Guan, Tianjia, Maosheng Yao, Junxia Wang, et al.. (2014). Airborne endotoxin in fine particulate matter in Beijing. Atmospheric Environment. 97. 35–42. 43 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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