Ailan Chen

2.3k citations
22 papers · 1.1k · 1 hit paper · h-index 9

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

Ailan Chen

17 papers receiving 1.1k citations

Ailan Chen's Hit Papers

Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19 2020 · 829 citations
8290+2+4Years since publication250500750

Peers

Ailan Chen
Comparison fields: 5 of 120
  • Infectious Diseases 602
  • Neurology 253
  • Critical Care and Intensive Care Medicine 79
  • Health Informatics 19
  • Modeling and Simulation 56
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Citations per field
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Countries citing papers authored by Ailan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ailan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19
Hit paper breakdown →
2020829
2 201462
3 201855
4 201637
5 202036
6 201621
7 202116
8 201611
9 201910
10 20178
11 20206
12 20165
13 20205
14 20195
15 20144
16 20202
17 20201
18 20240
19 20180
20 20250

About Ailan Chen

Ailan Chen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (5 papers), Heart Failure Treatment and Management (3 papers), COVID-19 Clinical Research Studies (3 papers), Cardiovascular Disease and Adiposity (2 papers), Hormonal Regulation and Hypertension (2 papers), Cardiovascular Function and Risk Factors (2 papers), Global Health Care Issues (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Infectious Diseases (602 citations), Neurology (253 citations), Critical Care and Intensive Care Medicine (79 citations), Health Informatics (19 citations) and Modeling and Simulation (56 citations). Ailan Chen has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Yi Zhao, Jianxing He, Wenhua Liang, Jun Guo, Wei‐jie Guan, Nuofu Zhang, Yimin Li, Jiatao Lu, Yuanda Xu and Limin Ou. Their work appears in journals such as The Science of The Total Environment, Journal of Exposure Science & Environmental Epidemiology, Clinical Microbiology and Infection, BMJ Open and Journal of Affective Disorders.

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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