Chengshui Chen

2.2k citations
100 papers · 1.7k · h-index 22

Impact in

Papers in

Chengshui Chen

93 papers receiving 1.7k citations

Peers

Chengshui Chen
Comparison fields: 5 of 126
  • Cancer Research 184
  • Pulmonary and Respiratory Medicine 364
  • Molecular Biology 690
  • Immunology 155
  • Infectious Diseases 128
Replace Lingfei Kong with:
Lingfei Kong China
Shijie Wang China
Rong Liang China
Guoyue Lv China
Changqing Yang China
Claudia A. Staab-Weijnitz Germany
Nikolaos Garmpis Greece
Hai Hong Zhu China
Agnieszka Latosińska Germany
Chengshui Chen relative to Lingfei Kong China Lingfei Kong's profile →
Citations per field
00.5×1.5×2×2.4×
Lingfei Kong · 1×
Citations per year

Countries citing papers authored by Chengshui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chengshui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chengshui 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 Chengshui Chen Line = papers co-authored together Chengshui Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022186
2 201686
3 201673
4 201469
5 201456
6 201351
7 202047
8 201645
9 201544
10
Thalidomide Combined with Low-dose Glucocorticoid in the Treatment of COVID-19 Pneumonia
202037
11 201735
12 201935
13 201933
14 202031
15 201431
16 202028
17 201428
18 202226
19 202026
20 202425

About Chengshui Chen

Chengshui Chen is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Immunology and Surgery, having authored 100 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (15 papers), Fibroblast Growth Factor Research (9 papers), Congenital Diaphragmatic Hernia Studies (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), MicroRNA in disease regulation (6 papers), COVID-19 Clinical Research Studies (5 papers), Cancer Genomics and Diagnostics (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Cancer Research (184 citations), Pulmonary and Respiratory Medicine (364 citations), Molecular Biology (690 citations), Immunology (155 citations) and Infectious Diseases (128 citations). Chengshui Chen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiangdong Wang, Lin Shi, Nian Dong, Xiangdong Wang, Yuping Li, Savério Bellusci, Jin‐San Zhang, Shuanying Yang, Xiaokun Li and Chunxue Bai. Their work appears in journals such as Cell Biology and Toxicology, Clinical and Translational Medicine, Journal of Cellular and Molecular Medicine, International Immunopharmacology and Frontiers in Cell and Developmental Biology.

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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