Erzhen Chen
Impact in
- Modeling and Simulation top 5%
Papers in
- Epidemiology 30
- Sepsis Diagnosis and Treatment 19
- Surgery 22
- Pancreatitis Pathology and Treatment 13
- Hemodynamic Monitoring and Therapy 6
- Co-authors
- Yuetian Yu (2 shared papers)Cheng Zhu (2 shared papers)Zhongheng Zhang (2 shared papers)Luyu Yang (3 shared papers)Qiongfang Zha (1 shared paper)Yujie Li (1 shared paper)Zhi‐Chun Gu (1 shared paper)Han Zhong (1 shared paper)
- Journals
- Annals of Translational Medicine (5 papers)PLoS ONE (4 papers)Journal of Inflammation Research (3 papers)International Immunopharmacology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesPeru
In The Last Decade
Erzhen Chen
74 papers receiving 1.4k citations
Erzhen Chen's Hit Papers
Peers
Comparison fields: 5 of 179
- Critical Care and Intensive Care Medicine 81
- Modeling and Simulation 44
- Infectious Diseases 173
- Health Informatics 12
- Epidemiology 293
Countries citing papers authored by Erzhen Chen
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
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.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 370 | |
| 2 | Immune effects of PI3K/Akt/HIF-1α-regulated glycolysis in polymorphonuclear neutrophils during sepsis Hit paper breakdown → | 2022 | 126 |
| 3 | 2023 | 56 | |
| 4 | 2019 | 45 | |
| 5 | 2022 | 38 | |
| 6 | 2020 | 35 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 29 | |
| 9 | 2011 | 29 | |
| 10 | 2015 | 29 | |
| 11 | 2020 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2020 | 28 | |
| 14 | 2014 | 27 | |
| 15 | 2021 | 25 | |
| 16 | 2018 | 25 | |
| 17 | 2018 | 21 | |
| 18 | 2019 | 21 | |
| 19 | 2024 | 20 | |
| 20 | 2021 | 20 |
About Erzhen Chen
Erzhen Chen is a scholar working on Epidemiology, Surgery, Infectious Diseases, Molecular Biology and Oncology, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (19 papers), Pancreatitis Pathology and Treatment (13 papers), COVID-19 Clinical Research Studies (10 papers), Vitamin C and Antioxidants Research (7 papers), Hemodynamic Monitoring and Therapy (6 papers), Immune Response and Inflammation (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (81 citations), Modeling and Simulation (44 citations), Infectious Diseases (173 citations), Health Informatics (12 citations) and Epidemiology (293 citations). Erzhen Chen has collaborated with scholars based in China, United States and Peru. Frequent co-authors include Yuetian Yu, Cheng Zhu, Zhongheng Zhang, Luyu Yang, Qiongfang Zha, Yujie Li, Zhi‐Chun Gu, Han Zhong, Zhitao Yang and Hongping Qu. Their work appears in journals such as Annals of Translational Medicine, PLoS ONE, Journal of Inflammation Research, International Immunopharmacology and Scientific Reports.
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.