Ailan Chen

2.3k citations
23 papers · 1.2k · 1 hit paper · h-index 10

Impact in

Papers in

Ailan Chen

21 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 · 850 citations
8500+2+4Years since publication250500750

Peers

Ailan Chen
Comparison fields: 5 of 112
  • Infectious Diseases 445
  • Health, Toxicology and Mutagenesis 147
  • Neurology 144
  • Critical Care and Intensive Care Medicine 43
  • Health Informatics 12
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Ailan Chen relative to Justin Laracy United States Justin Laracy's profile →
Citations per field
00.5×
Justin Laracy · 1×
Citations per year

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 23 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 →
2020850
2 201463
3 201856
4 201641
5 202037
6 202024
7 201621
8 202118
9 201912
10 201611
11 20178
12 20206
13 20195
14 20165
15 20205
16 20144
17 20202
18 20201
19 20251
20 20241

About Ailan Chen

Ailan Chen is a scholar working on Infectious Diseases, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Climate Change and Health Impacts (2 papers), Air Quality and Health Impacts (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Dental Implant Techniques and Outcomes (1 paper), Phytochemical compounds biological activities (1 paper) and Cardiac pacing and defibrillation studies (1 paper). The work is most often cited by research in Infectious Diseases (445 citations), Health, Toxicology and Mutagenesis (147 citations), Neurology (144 citations), Critical Care and Intensive Care Medicine (43 citations) and Health Informatics (12 citations). Ailan Chen has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Yi Zhao, Jianxing He, Wenhua Liang, Hengrui Liang, Yimin Li, Yuanda Xu, Nanshan Zhong, Zisheng Chen, Jiatao Lu and Limin Ou. Their work appears in journals such as International Journal of COPD, Archives of Medical Science, CHEST Journal, Journal of Exposure Science & Environmental Epidemiology and Hepatology.

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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