Lianchun Liang

1.3k citations
22 papers · 519 indexed · h-index 10
Co-authors
Bin XuZhongjie HuRonghua JinWei HouWei ZhangYan ZhaoYanchao DaiTao Dong
Topics
COVID-19 Clinical Research Studies (11 papers)Long-Term Effects of COVID-19 (8 papers)SARS-CoV-2 and COVID-19 Research (6 papers)

In The Last Decade

Lianchun Liang

20 papers receiving 510 citations

Peers

Lianchun Liang
Comparison fields: 5 of 75
  • Infectious Diseases 394
  • Neurology 170
  • Oncology 77
  • Epidemiology 72
  • Radiology, Nuclear Medicine and Imaging 62
Replace Sarah J Valk with:
Sarah J Valk Netherlands
Yaling Shi China
Zhiyuan Weng China
Kiran Pillai United Kingdom
Mingkai Tan China
Zhihua Lv China
Jianzeng Zhang China
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Lianchun Liang relative to Sarah J Valk Netherlands Sarah J Valk's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lianchun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Lianchun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianchun Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Lianchun Liang. A scholar is included among the top collaborators of Lianchun Liang 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 Lianchun Liang. Lianchun Liang 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 1
2 1
3 4
4 0
5 19
6 12
7 44
8 27
9 7
10 74
11 4
12 119
13 79
14 66
15
Changes in serum cytokine levels in hand-foot-and-mouth disease.
2
16 20
17 8
18 0
19
[The characteristics of opportunistic infections in 181 HIV/AIDS patients in China].
2
20
[Use of glucocorticoid in treatment of severe acute respiratory syndrome cases].
23

About Lianchun Liang

Lianchun Liang is a scholar working on Neurology, Infectious Diseases and Health Information Management, having authored 22 papers that have together received 519 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), Long-Term Effects of COVID-19 (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Infectious Diseases (394 citations), Neurology (170 citations) and Modeling and Simulation (22 citations). Lianchun Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Xu, Zhongjie Hu, Ronghua Jin, Ronghua Jin, Wei Hou, Wei Zhang, Yan Zhao, Yanchao Dai, Tao Dong and Haiping Xiang. Their work appears in journals such as PLoS ONE, The Journal of Infectious Diseases and Frontiers in Immunology.

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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