Lingmei Huang

668 total citations
9 papers, 421 citations indexed

About

Lingmei Huang is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Physiology. According to data from OpenAlex, Lingmei Huang has authored 9 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Physiology. Recurrent topics in Lingmei Huang's work include Air Quality and Health Impacts (2 papers), Smart Materials for Construction (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Lingmei Huang is often cited by papers focused on Air Quality and Health Impacts (2 papers), Smart Materials for Construction (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Lingmei Huang collaborates with scholars based in China and Canada. Lingmei Huang's co-authors include Bing Li, Jinding Pu, Pixin Ran, Yumin Zhou, Dongxing Zhao, Sha Liu, Suixin Liu, Jinlong Chen, Xinyu Chen and Xiaochen Li and has published in prestigious journals such as Scientific Reports, Thorax and Respiratory Research.

In The Last Decade

Lingmei Huang

8 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lingmei Huang China	7	235	168	97	58	50	9	421
Weifeng Zou China	12	303 1.3×	304 1.8×	117 1.2×	52 0.9×	106 2.1×	22	646
Francesco Sava Canada	8	199 0.8×	151 0.9×	62 0.6×	39 0.7×	75 1.5×	9	412
Zhicong Hong China	7	240 1.0×	54 0.3×	80 0.8×	50 0.9×	43 0.9×	13	445
Baiyang Sun United States	11	293 1.2×	78 0.5×	109 1.1×	53 0.9×	80 1.6×	28	571
Lori Horton United States	12	220 0.9×	153 0.9×	94 1.0×	35 0.6×	43 0.9×	27	534
Carlos Iván Falcón-Rodríguez Mexico	5	253 1.1×	75 0.4×	65 0.7×	66 1.1×	55 1.1×	8	372
Fang Long China	3	354 1.5×	82 0.5×	125 1.3×	77 1.3×	107 2.1×	8	477
Yijue Zhong China	10	189 0.8×	119 0.7×	192 2.0×	24 0.4×	75 1.5×	15	450
Lindsay M. Herbert United States	12	119 0.5×	159 0.9×	192 2.0×	23 0.4×	22 0.4×	21	486
Zakia Perveen United States	13	160 0.7×	93 0.6×	95 1.0×	20 0.3×	21 0.4×	16	379

Countries citing papers authored by Lingmei Huang

Since Specialization

Citations

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

Fields of papers citing papers by Lingmei Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingmei Huang

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

All Works

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9 of 9 papers shown

Huang, Sumei, et al.. (2025). Aldehyde Dehydrogenase 2 rs671 Polymorphism is Associated with Susceptibility of Coronary Atherosclerosis in Patients with Hypertension. International Journal of General Medicine. Volume 18. 681–690.

Hu, Chao, et al.. (2022). Incubation period, clinical and lung CT features for early prediction of COVID-19 deterioration: development and internal verification of a risk model. BMC Pulmonary Medicine. 22(1). 188–188. 1 indexed citations

Xu, Juan, Yongliang Jiang, Wei Hong, et al.. (2021). Chronic hypoxia promoted pulmonary arterial smooth muscle cells proliferation through upregulated calcium‐sensing receptorcanonical transient receptor potential 1/6 pathway. Microcirculation. 28(6). e12715–e12715. 9 indexed citations

Zhao, Jun, Jinding Pu, Binwei Hao, et al.. (2020). LncRNA RP11-86H7.1 promotes airway inflammation induced by TRAPM2.5 by acting as a ceRNA of miRNA-9-5p to regulate NFKB1 in HBECS. Scientific Reports. 10(1). 11587–11587. 34 indexed citations

Hong, Wei, Binwei Hao, Gongyong Peng, et al.. (2018). PM2.5 promotes human bronchial smooth muscle cell migration via the sonic hedgehog signaling pathway. Respiratory Research. 19(1). 37–37. 23 indexed citations

Huang, Lingmei, Jinding Pu, Fang He, et al.. (2017). Positive feedback of the amphiregulin-EGFR-ERK pathway mediates PM2.5 from wood smoke-induced MUC5AC expression in epithelial cells. Scientific Reports. 7(1). 11084–11084. 37 indexed citations

Liao, Baoling, Jinding Pu, Chenglong Li, et al.. (2017). Exposure to Ambient Particulate Matter Induced COPD in a Rat Model and a Description of the Underlying Mechanism. Scientific Reports. 7(1). 45666–45666. 80 indexed citations

Wei, Hong, Gongyong Peng, Binwei Hao, et al.. (2017). Nicotine-Induced Airway Smooth Muscle Cell Proliferation Involves TRPC6-Dependent Calcium Influx Via α7 nAChR. Cellular Physiology and Biochemistry. 43(3). 986–1002. 35 indexed citations

Liu, Sha, Yumin Zhou, Suixin Liu, et al.. (2016). Association between exposure to ambient particulate matter and chronic obstructive pulmonary disease: results from a cross-sectional study in China. Thorax. 72(9). 788–795. 202 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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