Erzhen Chen

75 papers receiving 1.5k citations

Erzhen Chen's Hit Papers

Immune effects of PI3K/Akt/HIF-1α-regulated glycolysis in polymorphonuclear neutrophils during sepsis 2022 · 140 citations
1400+2+4Years since publication100200300400

Peers

Erzhen Chen
Comparison fields: 5 of 180
  • Critical Care and Intensive Care Medicine 51
  • Infectious Diseases 136
  • Modeling and Simulation 33
  • Epidemiology 216
  • Molecular Medicine 33
Replace Rui Zheng with:
Rui Zheng China
Zhi‐Chun Gu China
Ya Gao China
Jae Young Moon South Korea
Lu Li China
Kai Feng China
Jing Ning United States
Johan Wallin Sweden
Cheng Zhu China
Dominic C. Marshall United Kingdom
Erzhen Chen relative to Rui Zheng China Rui Zheng's profile →
Citations per field
00.5×3.3×
Rui Zheng · 1×
Citations per year

Countries citing papers authored by Erzhen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Erzhen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A bibliometric analysis using VOSviewer of publications on COVID-19
Hit paper breakdown →
2020409
2
Immune effects of PI3K/Akt/HIF-1α-regulated glycolysis in polymorphonuclear neutrophils during sepsis
Hit paper breakdown →
2022140
3 202366
4 201949
5 202240
6 202037
7 202135
8 201130
9 201530
10 202030
11 201429
12 202229
13 202029
14 201829
15 202028
16 202128
17 202425
18 202123
19 202422
20 201921

About Erzhen Chen

Erzhen Chen is a scholar working on Surgery, Epidemiology, Molecular Biology, Infectious Diseases and Immunology, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (13 papers), Sepsis Diagnosis and Treatment (12 papers), COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Vitamin C and Antioxidants Research (4 papers), COVID-19 epidemiological studies (3 papers), Hemodynamic Monitoring and Therapy (3 papers) and Thermal Regulation in Medicine (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (51 citations), Infectious Diseases (136 citations), Modeling and Simulation (33 citations), Epidemiology (216 citations) and Molecular Medicine (33 citations). Erzhen Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Luyu Yang, Yuetian Yu, Cheng Zhu, Zhongheng Zhang, Zhi‐Chun Gu, Yujie Li, Han Zhong, Qiongfang Zha, Hongping Qu and Zhitao Yang. Their work appears in journals such as Annals of Translational Medicine, PLoS ONE, International Immunopharmacology, Journal of Inflammation Research and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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