Dechang Chen

11.5k total citations · 1 hit paper
48 papers, 1.4k citations indexed

About

Dechang Chen is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Dechang Chen has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 12 papers in Pulmonary and Respiratory Medicine and 12 papers in Epidemiology. Recurrent topics in Dechang Chen's work include COVID-19 Clinical Research Studies (13 papers), Long-Term Effects of COVID-19 (7 papers) and Respiratory Support and Mechanisms (6 papers). Dechang Chen is often cited by papers focused on COVID-19 Clinical Research Studies (13 papers), Long-Term Effects of COVID-19 (7 papers) and Respiratory Support and Mechanisms (6 papers). Dechang Chen collaborates with scholars based in China, United States and France. Dechang Chen's co-authors include Zhaofen Lin, Sheng Zhang, Wenbo Yu, Sheng Zhang, Xianghong Yang, Jiao Liu, Zhixiong Wu, Ranran Li, Zhongheng Zhang and Renhua Sun and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Frontiers in Immunology.

In The Last Decade

Dechang Chen

43 papers receiving 1.3k citations

Hit Papers

Estimation of the reproductive number of novel coronaviru... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dechang Chen China 13 711 322 264 192 178 48 1.4k
Mojtaba Sepandi Iran 20 623 0.9× 282 0.9× 236 0.9× 236 1.2× 241 1.4× 113 1.8k
Meng Jiang China 9 555 0.8× 150 0.5× 179 0.7× 82 0.4× 166 0.9× 16 1.4k
Jasmine Mangat Nigeria 5 685 1.0× 145 0.5× 270 1.0× 159 0.8× 190 1.1× 8 1.1k
China CDC Weekly 4 1.1k 1.5× 482 1.5× 373 1.4× 166 0.9× 311 1.7× 23 2.0k
Matthias Paul HS Toh Singapore 12 714 1.0× 367 1.1× 119 0.5× 137 0.7× 169 0.9× 20 1.3k
Shervin Shokouhi Iran 13 437 0.6× 315 1.0× 91 0.3× 198 1.0× 115 0.6× 59 1.3k
Awad Al‐Omari Saudi Arabia 20 965 1.4× 111 0.3× 277 1.0× 338 1.8× 101 0.6× 59 1.9k
Xiangao Jiang China 9 1.3k 1.9× 179 0.6× 654 2.5× 275 1.4× 294 1.7× 34 2.0k
Giulio Viceconte Italy 11 665 0.9× 181 0.6× 180 0.7× 201 1.0× 115 0.6× 40 1.1k
Huaying Wang China 7 1.1k 1.6× 130 0.4× 599 2.3× 186 1.0× 285 1.6× 19 1.8k

Countries citing papers authored by Dechang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dechang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dechang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dechang Chen. A scholar is included among the top collaborators of Dechang Chen 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 Dechang Chen. Dechang Chen 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
1.
Shang, Weifeng, et al.. (2023). Human blood metabolites and risk of severe COVID‐19: A Mendelian randomization study. European Journal of Clinical Investigation. 53(11). e14079–e14079. 3 indexed citations
3.
Yu, Yuetian, Ye Gong, Bo Hu, et al.. (2023). Expert consensus on blood pressure management in critically ill patients. SHILAP Revista de lepidopterología. 3(3). 185–203. 5 indexed citations
4.
Meng, Mei, Yufeng Chu, Sheng Zhang, et al.. (2022). Corticosteroid treatment in severe patients with SARS-CoV-2 and chronic HBV co-infection: a retrospective multicenter study. BMC Infectious Diseases. 22(1). 891–891. 5 indexed citations
5.
Liu, Jiao, Sheng Zhang, Sisi Huang, et al.. (2021). Rationality of Time-Dependent Antimicrobial Use in Intensive Care Units in China: A Nationwide Cross-Sectional Survey. Frontiers in Medicine. 8. 584813–584813. 7 indexed citations
6.
Liu, Jiao, Yuetian Yu, Chunhui Xu, & Dechang Chen. (2021). Candida Colonization in the Respiratory Tract: What Is the Significance?. Frontiers in Medicine. 7. 598037–598037. 19 indexed citations
7.
Huang, Sisi, Limin Chen, Jiao Liu, et al.. (2021). Novel Multiparametric Nomogram for Overall Survival Prediction in Complicated Intra-Abdominal Infection: A Multicenter Study in China. Frontiers in Medicine. 8. 627416–627416. 2 indexed citations
8.
Yang, Xianghong, Renhua Sun, Mingyan Zhao, et al.. (2020). Expert recommendations for blood purification protocol in patients with severe COVID-19. Zhonghua yixue zazhi. 100. 2 indexed citations
9.
Liu, Jiao, Sheng Zhang, Xuan Dong, et al.. (2020). Corticosteroid treatment in severe COVID-19 patients with acute respiratory distress syndrome. Journal of Clinical Investigation. 130(12). 6417–6428. 91 indexed citations
10.
Liu, Jiao, Lidi Zhang, Yizhu Chen, et al.. (2020). Association of sex with clinical outcomes in COVID-19 patients: A retrospective analysis of 1190 cases. Respiratory Medicine. 173. 106159–106159. 15 indexed citations
11.
Yang, Xianghong, Bo Hu, You Shang, et al.. (2020). Expert consensus on management of analgesia and sedation for patients with severe coronavirus disease 2019. Chinese Medical Journal. 133(18). 2186–2188.
12.
Diao, Mengyuan, Sheng Zhang, Dechang Chen, & Wei Hu. (2020). The novel coronavirus (COVID-19) infection in Hangzhou: An experience to share. Infection Control and Hospital Epidemiology. 41(7). 874–875. 11 indexed citations
13.
Liu, Jiao, Sheng Zhang, Zhixiong Wu, et al.. (2020). Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study. Annals of Intensive Care. 10(1). 99–99. 86 indexed citations
14.
Shang, You, Chun Pan, Xianghong Yang, et al.. (2020). Management of critically ill patients with COVID-19 in ICU: statement from front-line intensive care experts in Wuhan, China. Annals of Intensive Care. 10(1). 73–73. 149 indexed citations
15.
Li, Lei, Ranran Li, Zhixiong Wu, et al.. (2020). Therapeutic strategies for critically ill patients with COVID-19. Annals of Intensive Care. 10(1). 45–45. 91 indexed citations
16.
Zhang, Sheng & Dechang Chen. (2019). Facing a new challenge. Chinese Medical Journal. 132(10). 1135–1138. 102 indexed citations
17.
Xu, Dongwei, et al.. (2018). [Value of Hepcidin as a diagnostic biomarker of sepsis in critically ill adults].. PubMed. 30(7). 652–657. 7 indexed citations
18.
Liu, Jiao, Guang Li, Wenjie Xie, et al.. (2017). Lipopolysaccharide Stimulates Surfactant Protein-A in Human Renal Epithelial HK-2 Cells through Upregulating Toll-like Receptor 4 Dependent MEK1/2-ERK1/2-NF-κB Pathway. Chinese Medical Journal. 130(10). 1236–1243. 10 indexed citations
19.
Bin, Du, Xiuming Xi, Dechang Chen, & Jinmin Peng. (2010). Critical care medicine in mainland China.. Critical Care. 14(2). 4 indexed citations
20.
Chen, Dechang, et al.. (2007). Initial-Oblique Derivative Problem for Nonlinear Parabolic Equations in High Dimensional Domains. International Journal of Applied Mathematics & Statistics. 8. 8–19. 4 indexed citations

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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