Liyun Luo

928 citations
15 papers · 622 indexed · 1 hit paper · h-index 9
Topics
MicroRNA in disease regulation (5 papers)COVID-19 Clinical Research Studies (4 papers)Circular RNAs in diseases (4 papers)
Partner nations
ChinaUnited StatesPoland

In The Last Decade

Liyun Luo

14 papers receiving 606 citations

Hit Papers

Impact of coronavirus disease 2019 on pulmonary function ...20202026202220242020100200300

Peers

Liyun Luo
Comparison fields: 5 of 84
  • Neurology 313
  • Infectious Diseases 276
  • Pulmonary and Respiratory Medicine 171
  • Clinical Psychology 121
  • Molecular Biology 113
Replace Qin-Fu Xu with:
Qin-Fu Xu China
Yumiao Zhao China
Bocheng Li China
Aiguo Xu China
Hailing Liu China
Selina Greuel Germany
Huaming Mou China
Kaihu Xiao China
Si Fang United Kingdom
Lindsey Wang United States
Liyun Luo relative to Qin-Fu Xu China Qin-Fu Xu's profile →
Citations per field
00.5×3.2×
Qin-Fu Xu · 1×
Citations per year

Countries citing papers authored by Liyun Luo

Since Specialization
Citations

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

Fields of papers citing papers by Liyun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyun Luo

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3 24
4 34
5
Impact of coronavirus disease 2019 on pulmonary function in early convalescence phasebreakdown →
370
6 4
7 92
8 11
9 7
10 1
11 11
12
Altered Plasma miR-144 as a Novel Biomarker for Coronary Artery Disease.
16
13 7
14 27
15 17

About Liyun Luo

Liyun Luo is a scholar working on Aging, Cancer Research and Internal Medicine, having authored 15 papers that have together received 622 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), COVID-19 Clinical Research Studies (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Neurology (313 citations), Critical Care and Intensive Care Medicine (78 citations) and Infectious Diseases (276 citations). Liyun Luo has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Meizhu Chen, Jin Huang, Cuiyan Tan, Yiying Huang, Jian Wu, Gao Fen, Jing Liu, Hong Shan, Zhenguo Wang and Xiaorong Zhou. Their work appears in journals such as Clinical Infectious Diseases, Medicine and Oxidative Medicine and Cellular Longevity.

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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