Shuya Mei

782 total citations
32 papers, 385 citations indexed

About

Shuya Mei is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Shuya Mei has authored 32 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 10 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Shuya Mei's work include Respiratory Support and Mechanisms (13 papers), Neonatal Respiratory Health Research (10 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers). Shuya Mei is often cited by papers focused on Respiratory Support and Mechanisms (13 papers), Neonatal Respiratory Health Research (10 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers). Shuya Mei collaborates with scholars based in China, United States and Singapore. Shuya Mei's co-authors include Shunpeng Xing, Qiaoyi Xu, Zhixia Chen, Zhengyu He, Ri Tang, Quan Li, Yuan Gao, Xibing Ding, Shuqing Jin and Yang Zhou and has published in prestigious journals such as Scientific Reports, Cellular and Molecular Life Sciences and Frontiers in Immunology.

In The Last Decade

Shuya Mei

30 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuya Mei China 11 138 118 79 70 62 32 385
Anna Birnhuber Austria 10 93 0.7× 159 1.3× 38 0.5× 74 1.1× 25 0.4× 14 354
Bing Zhu China 14 104 0.8× 81 0.7× 118 1.5× 33 0.5× 66 1.1× 59 498
Sanne L. N. Brouns Netherlands 13 100 0.7× 70 0.6× 56 0.7× 59 0.8× 24 0.4× 21 413
Huiqing Lin China 9 117 0.8× 88 0.7× 171 2.2× 56 0.8× 54 0.9× 28 371
Haijin Lv China 9 278 2.0× 124 1.1× 64 0.8× 113 1.6× 119 1.9× 17 517
Shinichi Matsuzaki Japan 11 125 0.9× 96 0.8× 41 0.5× 79 1.1× 33 0.5× 26 377
Andreas Horn Germany 6 48 0.3× 47 0.4× 58 0.7× 62 0.9× 48 0.8× 11 368
Tatsuaki Watanabe Japan 13 125 0.9× 135 1.1× 287 3.6× 32 0.5× 35 0.6× 79 546
Anchen Zhang China 11 158 1.1× 81 0.7× 56 0.7× 62 0.9× 113 1.8× 21 346

Countries citing papers authored by Shuya Mei

Since Specialization
Citations

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

Fields of papers citing papers by Shuya Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuya Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Shuya Mei. A scholar is included among the top collaborators of Shuya Mei 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 Shuya Mei. Shuya Mei 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
2.
Peng, Yawen, Shuya Mei, Xiaohui Qi, et al.. (2025). PGC-1α mediates migrasome secretion accelerating macrophage–myofibroblast transition and contributing to sepsis-associated pulmonary fibrosis. Experimental & Molecular Medicine. 57(4). 759–774. 1 indexed citations
4.
Huang, Xi, Yawen Peng, Wenyu Yang, et al.. (2025). Pyruvate kinase M2 modulates mitochondrial dynamics and EMT in alveolar epithelial cells during sepsis-associated pulmonary fibrosis. Journal of Translational Medicine. 23(1). 205–205. 3 indexed citations
5.
Thakur, Abhimanyu, Shuya Mei, Kui Zhang, et al.. (2024). Pulmonary neuroendocrine cells: crucial players in respiratory function and airway-nerve communication. Frontiers in Neuroscience. 18. 1438188–1438188. 7 indexed citations
6.
Peng, Yawen, Ri Tang, Qiaoyi Xu, et al.. (2024). Worldwide productivity and research trend of publications concerning extracellular vesicles role in fibrosis: A bibliometric study from 2013 to 2022. Heliyon. 10(2). e24357–e24357. 2 indexed citations
7.
Zhong, Han, Shuya Mei, Ri Tang, et al.. (2024). LPS-induced monocarboxylate transporter-1 inhibition facilitates lactate accumulation triggering epithelial-mesenchymal transformation and pulmonary fibrosis. Cellular and Molecular Life Sciences. 81(1). 206–206. 10 indexed citations
8.
Mei, Shuya, Jiemin Wang, Zhiyun Zhang, et al.. (2024). Development and validation of a deep learning-based framework for automated lung CT segmentation and acute respiratory distress syndrome prediction: a multicenter cohort study. EClinicalMedicine. 75. 102772–102772. 8 indexed citations
9.
Huang, Xi, Qiaoyi Xu, Ri Tang, et al.. (2024). Pharmacological inhibition of the ACE/Ang-2/AT1 axis alleviates mechanical ventilation-induced pulmonary fibrosis. International Immunopharmacology. 131. 111855–111855. 4 indexed citations
10.
Mei, Shuya, et al.. (2024). Microglial purinergic signaling in Alzheimer’s disease. Purinergic Signalling. 21(4). 815–827. 5 indexed citations
11.
Mei, Shuya, Ri Tang, Qiaoyi Xu, et al.. (2023). Integrin β3 Mediates Sepsis and Mechanical Ventilation-Associated Pulmonary Fibrosis Through Glycometabolic Reprogramming. Laboratory Investigation. 103(1). 100021–100021. 5 indexed citations
12.
Tang, Ri, Yang Zhou, Shuya Mei, et al.. (2023). Fibrotic extracellular vesicles contribute to mechanical ventilation-induced pulmonary fibrosis development by activating lung fibroblasts via JNK signalling pathway: an experimental study. BMJ Open Respiratory Research. 10(1). e001753–e001753. 4 indexed citations
13.
Zhong, Han, Ri Tang, Qiaoyi Xu, et al.. (2023). METFORMIN MITIGATES SEPSIS-ASSOCIATED PULMONARY FIBROSIS BY PROMOTING AMPK ACTIVATION AND INHIBITING HIF-1α–INDUCED AEROBIC GLYCOLYSIS. Shock. 61(2). 283–293. 10 indexed citations
14.
Tang, Ri, Yue Hu, Shuya Mei, et al.. (2023). Non-coding RNA alterations in extracellular vesicles from bronchoalveolar lavage fluid contribute to mechanical ventilation-induced pulmonary fibrosis. Frontiers in Immunology. 14. 1141761–1141761. 7 indexed citations
15.
16.
Li, Zhe, Chen Chen, Shuya Mei, et al.. (2022). Emerging Trends and Hot Spots of Electrical Impedance Tomography Applications in Clinical Lung Monitoring. Frontiers in Medicine. 8. 813640–813640. 15 indexed citations
17.
Xu, Qiaoyi, Shuya Mei, Fang Nie, et al.. (2021). The role of macrophage–fibroblast interaction in lipopolysaccharide-induced pulmonary fibrosis: an acceleration in lung fibroblast aerobic glycolysis. Laboratory Investigation. 102(4). 432–439. 33 indexed citations
19.
Gao, Lei, Shuya Mei, Shuning Zhang, et al.. (2019). Cardio-renal Exosomes in Myocardial Infarction Serum Regulate Proangiogenic Paracrine Signaling in Adipose Mesenchymal Stem Cells. Theranostics. 10(3). 1060–1073. 65 indexed citations
20.
Mei, Shuya, Shuqing Jin, Zhixia Chen, et al.. (2015). Analgesia for total knee arthroplasty: a meta-analysis comparing local infiltration and femoral nerve block. Clinics. 70(9). 648–653. 23 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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