Erzhen Chen
- Modeling and Simulation top 5%
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 and COVID-19 Research 6
- Health Informatics top 10%
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment 19
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- Pancreatitis Pathology and Treatment 13
- Hemodynamic Monitoring and Therapy 6
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- Vitamin C and Antioxidants Research 7
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- Immune Response and Inflammation 6
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- Pancreatic and Hepatic Oncology Research 5
- Journals
- Annals of Translational Medicine (5 papers)PLoS ONE (4 papers)Journal of Inflammation Research (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Erzhen Chen
74 papers receiving 1.4k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 12 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 20 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 56 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 28 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 29 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 3 | |
| 20 | 2015 | 2 |
About Erzhen Chen
Erzhen Chen is a scholar working on Critical Care and Intensive Care Medicine, Modeling and Simulation, Infectious Diseases, Epidemiology and Nephrology, 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), SARS-CoV-2 and COVID-19 Research (6 papers), Immune Response and Inflammation (6 papers), Hemodynamic Monitoring and Therapy (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 Hong Kong. Frequent co-authors include Yuetian Yu, Cheng Zhu, Luyu Yang, Zhongheng Zhang, Han Zhong, Yujie Li, Zhi‐Chun Gu, Qiongfang Zha, 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.