Meiyan Liao

2.4k citations
64 papers · 1.5k indexed · 1 hit paper · h-index 17
Topics
Lung Cancer Diagnosis and Treatment (19 papers)Radiomics and Machine Learning in Medical Imaging (16 papers)COVID-19 Clinical Research Studies (8 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical ChemistryAmerican Journal of Kidney Diseases
Partner nations
ChinaUnited StatesSpain

In The Last Decade

Meiyan Liao

59 papers receiving 1.5k citations

Hit Papers

Pathological study of the 2019 novel coronavirus disease ...20202026202220242020200400600

Peers

Meiyan Liao
Comparison fields: 5 of 115
  • Infectious Diseases 774
  • Neurology 443
  • Pulmonary and Respiratory Medicine 363
  • Radiology, Nuclear Medicine and Imaging 332
  • Oncology 257
Replace Thomas Menter with:
Thomas Menter Switzerland
Daoyu Hu China
Steven Salvatore United States
Valeria Panebianco Italy
Luca Carsana Italy
Stuart L. Cohen United States
Ian Léonard-Lorant France
Jasmin D. Haslbauer Switzerland
Hanxiong Guan China
Mingli Yuan China
Meiyan Liao relative to Thomas Menter Switzerland Thomas Menter's profile →
Citations per field
00.5×2.5×
Thomas Menter · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 8
6 6
7 24
8 68
9 54
10
Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsiesbreakdown →
645
11 114
12 8
13 9
14 0
15 6
16 0
17 46
18 42
19 6
20 50

About Meiyan Liao

Meiyan Liao is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this 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). The work is most often cited by research in Infectious Diseases (774 citations), Neurology (443 citations) and Critical Care and Intensive Care Medicine (86 citations). Meiyan Liao has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Sufang Tian, Shu‐Yuan Xiao, Yong Xiong, Jianchun Guo, Huan Liu, Li Niu, Hanfei Zhang, Dongyong Zhu, Liying Xu and Yiyuan Cao. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and American Journal of Kidney Diseases.

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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