Qingmei Cheng

590 citations
19 papers · 420 indexed · h-index 12
Topics
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Neonatal Respiratory Health Research (3 papers)
Partner nations
ChinaAustralia

In The Last Decade

Qingmei Cheng

18 papers receiving 415 citations

Peers

Qingmei Cheng
Comparison fields: 5 of 81
  • Molecular Biology 169
  • Pulmonary and Respiratory Medicine 122
  • Surgery 64
  • Immunology 47
  • Cellular and Molecular Neuroscience 46
Replace Abitha Sukumaran with:
Abitha Sukumaran India
Fan Xiao China
Zsuzsanna Sandor United States
Wen-Ke Cai China
Jagdish Chandra Joshi United States
Liang Huo China
Sunji Park South Korea
Melanie Kny Germany
Mohamed H. Noureldein Lebanon
Sonja Rittchen Austria
Qingmei Cheng relative to Abitha Sukumaran India Abitha Sukumaran's profile →
Citations per field
00.5×
Abitha Sukumaran · 1×
Citations per year

Countries citing papers authored by Qingmei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Qingmei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingmei Cheng

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 0
3 16
4 17
5 13
6 8
7 15
8 56
9 23
10
[LIMR is involved in the inhibitory effect of antiflammin-1 on epithelial-mesenchymal transition in A549 cells].
1
11 22
12 74
13 2
14 28
15 10
16 33
17 47
18 8
19 45

About Qingmei Cheng

Qingmei Cheng is a scholar working on Behavioral Neuroscience, Pulmonary and Respiratory Medicine and Physiology, having authored 19 papers that have together received 420 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Biological Psychiatry (20 citations), Pulmonary and Respiratory Medicine (122 citations) and Biochemistry (21 citations). Qingmei Cheng has collaborated with scholars based in China and Australia. Frequent co-authors include Ziqiang Luo, Dandan Feng, Jianzhong Han, Shaojie Yue, Yanhong Huang, Xiaoting Huang, Feiyan Zhao, Chen Chen, Siyuan Tang and Wei Liu. Their work appears in journals such as PLoS ONE, Scientific Reports and Endocrinology.

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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