Meiyan Liao

2.4k total citations · 1 hit paper
64 papers, 1.5k citations indexed

About

Meiyan Liao is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Meiyan Liao has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Infectious Diseases. Recurrent topics in Meiyan Liao's work include Lung Cancer Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and COVID-19 Clinical Research Studies (8 papers). Meiyan Liao is often cited by papers focused on Lung Cancer Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and COVID-19 Clinical Research Studies (8 papers). Meiyan Liao collaborates with scholars based in China, United States and Spain. Meiyan Liao's co-authors include Sufang Tian, Shu‐Yuan Xiao, Yong Xiong, Li Niu, Jianchun Guo, Huan Liu, Hanfei Zhang, Liying Xu, Dongyong Zhu and Yiyuan Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and American Journal of Kidney Diseases.

In The Last Decade

Meiyan Liao

59 papers receiving 1.5k citations

Hit Papers

Pathological study of the 2019 novel coronavirus disease ... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiyan Liao China 17 774 443 363 332 257 64 1.5k
Subha Ghosh United States 14 516 0.7× 253 0.6× 516 1.4× 201 0.6× 179 0.7× 50 1.3k
Marie‐Pierre Revel France 18 516 0.7× 241 0.5× 474 1.3× 652 2.0× 258 1.0× 43 1.5k
Jiong Wu China 7 897 1.2× 427 1.0× 167 0.5× 674 2.0× 313 1.2× 23 1.4k
Heshui Shi China 16 852 1.1× 610 1.4× 529 1.5× 784 2.4× 250 1.0× 67 1.8k
Hanxiong Guan China 9 818 1.1× 352 0.8× 185 0.5× 503 1.5× 186 0.7× 24 1.2k
Alessandro Pellegrinelli Italy 16 891 1.2× 473 1.1× 339 0.9× 117 0.4× 335 1.3× 28 1.9k
Kunhua Li China 7 591 0.8× 314 0.7× 135 0.4× 446 1.3× 208 0.8× 16 1.0k
Mingli Yuan China 11 540 0.7× 285 0.6× 244 0.7× 232 0.7× 339 1.3× 25 1.1k
Luca Carsana Italy 15 985 1.3× 484 1.1× 287 0.8× 91 0.3× 271 1.1× 23 1.6k
Fang Zheng China 11 1.0k 1.3× 473 1.1× 205 0.6× 930 2.8× 332 1.3× 25 1.7k

Countries citing papers authored by Meiyan Liao

Since Specialization
Citations

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

Fields of papers citing papers by Meiyan Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiyan Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Meiyan Liao. A scholar is included among the top collaborators of Meiyan Liao 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 Meiyan Liao. Meiyan Liao 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.
Liao, Meiyan, Ming Gong, Yuanyuan Li, et al.. (2025). Mitophagy: a novel avenue for herbal medicines alleviating myocardial ischemia/reperfusion injury. APOPTOSIS. 30(11-12). 2676–2693.
3.
Li, Miao, Meiyan Liao, Feixiang Cheng, et al.. (2025). An interference-based covalent organic framework biosensor for the detection of specific circulating tumor DNA in plasma. Microchemical Journal. 210. 113004–113004. 1 indexed citations
4.
Liao, Meiyan, Hsin‐Lun Lee, Yen‐Lin Liu, & Tai‐Tong Wong. (2025). Neurofibromatosis Type 1 : A General Review. Journal of Korean Neurosurgical Society. 68(6). 644–651.
5.
An, Wenting, et al.. (2023). Correlation between carcinoembryonic antigen (CEA) expression and EGFR mutations in non-small-cell lung cancer: a meta-analysis. Clinical & Translational Oncology. 26(4). 991–1000. 6 indexed citations
6.
Zhang, Hanfei, et al.. (2023). Risk factors for air embolism following computed tomography-guided percutaneous transthoracic needle biopsy: a systematic review and meta-analysis. Diagnostic and Interventional Radiology. 29(3). 478–491. 9 indexed citations
7.
Liu, Zhenxing, Binchen Wang, Wenting An, et al.. (2021). A Predictive Model to Differentiate Between Second Primary Lung Cancers and Pulmonary Metastasis. Academic Radiology. 29. S137–S144. 7 indexed citations
8.
Tian, Sufang, Yong Xiong, Huan Liu, et al.. (2020). Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsies. Modern Pathology. 33(6). 1007–1014. 645 indexed citations breakdown →
9.
Tian, Sufang, Huan Liu, Meiyan Liao, et al.. (2020). Analysis of Mortality in Patients With COVID-19: Clinical and Laboratory Parameters. Open Forum Infectious Diseases. 7(5). ofaa152–ofaa152. 24 indexed citations
10.
Zhang, Jinjin, Yiyuan Cao, Xiang Dong, et al.. (2020). Distinct characteristics of COVID‐19 patients with initial rRT‐PCR‐positive and rRT‐PCR‐negative results for SARS‐CoV‐2. Allergy. 75(7). 1809–1812. 68 indexed citations
11.
Yu, Minhua, Dan Xu, Lan Lan, et al.. (2020). Thin-Section Chest CT Imaging of COVID-19 Pneumonia: A Comparison Between Patients with Mild and Severe Disease. Radiology Cardiothoracic Imaging. 2(2). e200126–e200126. 54 indexed citations
12.
Wang, Rui, Hong He, Chun Hu, et al.. (2020). COVID-19 in Hemodialysis Patients: A Report of 5 Cases. American Journal of Kidney Diseases. 76(1). 141–143. 114 indexed citations
13.
Huang, Jingtao, Ying Yang, Yimin Hu, et al.. (2018). A Highly Sensitive and Robust Method for Hepatitis B Virus Covalently Closed Circular DNA Detection in Single Cells and Serum. Journal of Molecular Diagnostics. 20(3). 334–343. 27 indexed citations
14.
Zhu, Dongyong, Yanfang Wang, Lisha Wang, et al.. (2017). Prognostic value of the maximum standardized uptake value of pre-treatment primary lesions in small-cell lung cancer on 18F-FDG PET/CT: a meta-analysis. Acta Radiologica. 59(9). 1082–1090. 17 indexed citations
15.
Cao, Yiyuan, Meiyan Liao, Liying Xu, et al.. (2017). Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma. International Journal of Clinical Oncology. 23(2). 249–257. 7 indexed citations
17.
Liao, Meiyan, et al.. (2015). Case 4: How Much Is Too Much? A Case of Hypercalcemia in a 6-year-old Boy. Pediatrics in Review. 36(9). 423–425.
18.
Zeng, Xian‐Tao, et al.. (2015). The diagnostic accuracy of CT-guided percutaneous core needle biopsy and fine needle aspiration in pulmonary lesions: a meta-analysis. Clinical Radiology. 71(1). e1–e10. 42 indexed citations
19.
Hu, Huijuan, Meiyan Liao, & Liying Xu. (2014). Primary retroperitoneal extraskeletal mesenchymal chondrosarcoma involving the vena cava: A case report. Oncology Letters. 7(6). 1970–1974. 6 indexed citations
20.
Liu, Guobing, et al.. (2012). Preoperative CT Findings of Thymoma are Correlated with Postoperative Masaoka Clinical Stage. Academic Radiology. 20(1). 66–72. 50 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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