Liangan Chen

3.7k citations
131 papers · 2.4k · h-index 28

Impact in

Papers in

Liangan Chen

124 papers receiving 2.4k citations

Peers

Liangan Chen
Comparison fields: 5 of 127
  • Pulmonary and Respiratory Medicine 684
  • Genetics 188
  • Cancer Research 261
  • Applied Microbiology and Biotechnology 27
  • Critical Care and Intensive Care Medicine 49
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Jennifer Johnson United States
Atsushi Togawa Japan
Linda M. Kalikin United States
Kazuhiro Tsukamoto Japan
Carmen Guerrero Spain
Kouhei Yamashita Japan
Maria Cristina Morelli Italy
Raphael Breuer Israel
Jeffrey J. Atkinson United States
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Citations per field
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Citations per year

Countries citing papers authored by Liangan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liangan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liangan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liangan Chen Line = papers co-authored together Liangan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015220
2 1998162
3 2015143
4 2008136
5 200588
6 201869
7 201867
8 201360
9 201759
10 201054
11 201551
12 201548
13
Bone marrow-derived mesenchymal stem cells protect rats from endotoxin-induced acute lung injury.
201146
14 201146
15 201145
16 201637
17 201236
18 201734
19 202133
20 201433

About Liangan Chen

Liangan Chen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Epidemiology and Infectious Diseases, having authored 131 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (12 papers), Lung Cancer Diagnosis and Treatment (9 papers), Respiratory Support and Mechanisms (7 papers), Neonatal Respiratory Health Research (7 papers), RNA modifications and cancer (7 papers), Antibiotic Resistance in Bacteria (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (684 citations), Genetics (188 citations), Cancer Research (261 citations), Applied Microbiology and Biotechnology (27 citations) and Critical Care and Intensive Care Medicine (49 citations). Liangan Chen has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Zhixin Liang, Qing Tian, Chunsun Li, Jie Chen, Shile Huang, Jun Chung, Chonghui Li, Zhen Yang, Yanwen Jiang and Yanqin Li. Their work appears in journals such as Frontiers in Oncology, PLoS ONE, Antimicrobial Resistance and Infection Control, Oncogene and BioMed Research International.

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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