Zhangfu Fang

1.2k total citations · 1 hit paper
19 papers, 836 citations indexed

About

Zhangfu Fang is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Physiology. According to data from OpenAlex, Zhangfu Fang has authored 19 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 6 papers in Health, Toxicology and Mutagenesis and 6 papers in Physiology. Recurrent topics in Zhangfu Fang's work include Respiratory and Cough-Related Research (7 papers), Asthma and respiratory diseases (6 papers) and Air Quality and Health Impacts (5 papers). Zhangfu Fang is often cited by papers focused on Respiratory and Cough-Related Research (7 papers), Asthma and respiratory diseases (6 papers) and Air Quality and Health Impacts (5 papers). Zhangfu Fang collaborates with scholars based in China, United States and Taiwan. Zhangfu Fang's co-authors include Junfeng Zhang, Yongjie Wei, Kefang Lai, Nanshan Zhong, Jiaxing Xie, Erjia Ge, Xiong Xiao, Ming Luo, Shan Zhong and Wei‐jie Guan and has published in prestigious journals such as The FASEB Journal, Environmental Pollution and CHEST Journal.

In The Last Decade

Zhangfu Fang

18 papers receiving 829 citations

Hit Papers

Ozone Pollution: A Major Health Hazard Worldwide 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhangfu Fang China 11 429 166 161 98 84 19 836
Dai-Hua Tsai Taiwan 14 621 1.4× 211 1.3× 60 0.4× 168 1.7× 63 0.8× 22 1.1k
R L Maynard United Kingdom 14 413 1.0× 111 0.7× 101 0.6× 67 0.7× 42 0.5× 34 729
Heung-Bin Lim South Korea 12 568 1.3× 152 0.9× 135 0.8× 47 0.5× 38 0.5× 29 879
Xihao Du China 18 618 1.4× 166 1.0× 30 0.2× 62 0.6× 58 0.7× 49 818
Daniela Nuvolone Italy 13 507 1.2× 175 1.1× 161 1.0× 30 0.3× 135 1.6× 24 800
Bing Guo China 18 558 1.3× 161 1.0× 41 0.3× 24 0.2× 54 0.6× 58 1.1k
Drew B. Day United States 18 688 1.6× 148 0.9× 38 0.2× 49 0.5× 26 0.3× 39 869
Xiaodan Zhou China 14 312 0.7× 73 0.4× 53 0.3× 29 0.3× 85 1.0× 38 702
Jianlong Fang China 18 590 1.4× 138 0.8× 93 0.6× 23 0.2× 34 0.4× 45 792
Xuezhi Yang China 18 292 0.7× 82 0.5× 100 0.6× 44 0.4× 36 0.4× 53 857

Countries citing papers authored by Zhangfu Fang

Since Specialization
Citations

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

Fields of papers citing papers by Zhangfu Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangfu Fang

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

All Works

19 of 19 papers shown
1.
Fang, Zhangfu, Yu Fu, Zhe Chen, et al.. (2025). Neural control of the pathophysiology of allergic airway disease and its clinical implications: A focus on allergic rhinitis and asthma. Journal of Allergy and Clinical Immunology. 156(2). 259–269. 1 indexed citations
2.
Fang, Zhangfu, Zhe Chen, Yang Peng, et al.. (2024). Fine particulate matter contributes to COPD-like pathophysiology: experimental evidence from rats exposed to diesel exhaust particles. Respiratory Research. 25(1). 14–14. 15 indexed citations
3.
Christodoulou, Maria, Wei Zhou, Zhangfu Fang, et al.. (2024). Selective production of IL-33-neutralizing autoantibody ameliorates asthma responses and severity. Clinical Immunology. 264. 110234–110234. 3 indexed citations
4.
Zhan, Chen, Zhangfu Fang, Mingyu Zhong, et al.. (2024). Non-allergic eosinophilic inflammation and airway hyperresponsiveness induced by diesel engine exhaust through activating ILCs. Ecotoxicology and Environmental Safety. 278. 116403–116403. 3 indexed citations
5.
Wei, Juntong, Xiaoyu Liu, Weimin Xiao, et al.. (2023). Phospholipid remodeling and its derivatives are associated with COVID-19 severity. Journal of Allergy and Clinical Immunology. 151(5). 1259–1268. 16 indexed citations
6.
Yi, Fang, Zhangfu Fang, Hanwen Liang, et al.. (2023). Diagnostic accuracy of blood eosinophils in comparison to other common biomarkers for identifying sputum eosinophilia in patients with chronic cough. World Allergy Organization Journal. 16(9). 100819–100819.
7.
Chen, Ziyi, et al.. (2022). Network analysis for elucidating the mechanisms of Shenfu injection in preventing and treating COVID-19 combined with heart failure. Computers in Biology and Medicine. 148. 105845–105845. 6 indexed citations
8.
Peng, Yang, Zhangfu Fang, Xiaotao Hou, et al.. (2022). Mucus Hypersecretion and Ciliary Impairment in Conducting Airway Contribute to Alveolar Mucus Plugging in Idiopathic Pulmonary Fibrosis. Frontiers in Cell and Developmental Biology. 9. 810842–810842. 13 indexed citations
9.
Peng, Yang, Zhangfu Fang, Jing Sun, et al.. (2022). Angiotensin-converting enzyme 2 in peripheral lung club cells modulates the susceptibility to SARS-CoV-2 in chronic obstructive pulmonary disease. American Journal of Physiology-Lung Cellular and Molecular Physiology. 322(5). L712–L721. 10 indexed citations
10.
Chen, Zhe, Zhangfu Fang, Chen Zhan, et al.. (2021). Glial activation and inflammation in the NTS in a rat model after exposure to diesel exhaust particles. Environmental Toxicology and Pharmacology. 83. 103584–103584. 13 indexed citations
11.
Fang, Zhangfu, Fang Yi, Yang Peng, et al.. (2021). Inhibition of TRPA1 reduces airway inflammation and hyperresponsiveness in mice with allergic rhinitis. The FASEB Journal. 35(5). e21428–e21428. 23 indexed citations
12.
Zhong, Shan, et al.. (2020). Fructus mume Protects Against Cigarette Smoke Induced Chronic Cough Guinea Pig. Journal of Medicinal Food. 23(2). 191–197. 16 indexed citations
13.
Zhang, Junfeng, Yongjie Wei, & Zhangfu Fang. (2019). Ozone Pollution: A Major Health Hazard Worldwide. Frontiers in Immunology. 10. 2518–2518. 524 indexed citations breakdown →
14.
Fang, Zhangfu, Junfeng Zhang, Jiaxing Xie, et al.. (2018). Traffic‐related air pollution induces non‐allergic eosinophilic airway inflammation and cough hypersensitivity in guinea‐pigs. Clinical & Experimental Allergy. 49(3). 366–377. 35 indexed citations
15.
Ge, Erjia, Kefang Lai, Xiong Xiao, et al.. (2018). Differential effects of size-specific particulate matter on emergency department visits for respiratory and cardiovascular diseases in Guangzhou, China. Environmental Pollution. 243(Pt A). 336–345. 65 indexed citations
17.
Jiang, Mei, Wei‐jie Guan, Zhangfu Fang, et al.. (2016). A Critical Review of the Quality of Cough Clinical Practice Guidelines. CHEST Journal. 150(4). 777–788. 46 indexed citations
19.
Fang, Zhangfu, et al.. (2014). Cough hypersensitivity syndrome: a new concept for chronic idiopathic cough. Jiefangjun yixue zazhi. 39(5). 343–349. 1 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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