Jiatao Lu

2.0k citations
3 papers · 847 · 1 hit paper · h-index 2

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

Jiatao Lu

3 papers receiving 829 citations

Jiatao Lu'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 · 840 citations
8400+2+4Years since publication250500750

Peers

Jiatao Lu
Comparison fields: 5 of 78
  • Infectious Diseases 425
  • Neurology 138
  • Critical Care and Intensive Care Medicine 41
  • Health Informatics 12
  • Modeling and Simulation 28
Replace Yuanda Xu with:
Yuanda Xu China
Dexiang Yang China
Ashan Pan China
Summer Chavez United States
Elnara Fazio‐Eynullayeva United Kingdom
Yasuhide Uwabe Japan
Angelo Silverio Italy
Martín Ragusa Argentina
Alexandra Halalau United States
Xinguo Zhao China
Jiatao Lu relative to Yuanda Xu China Yuanda Xu's profile →
Citations per field
00.5×1.5×
Yuanda Xu · 1×
Citations per year

Countries citing papers authored by Jiatao Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jiatao Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jiatao Lu, 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 Jiatao Lu Line = papers co-authored together Jiatao Lu links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#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 →
2020840
2 20066
3 20231

About Jiatao Lu

Jiatao Lu is a scholar working on Infectious Diseases, Ophthalmology, Management Science and Operations Research, Economics and Econometrics and Demography, having authored 3 papers that have together received 847 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (1 paper), COVID-19 Clinical Research Studies (1 paper), Retinal Diseases and Treatments (1 paper), Insurance and Financial Risk Management (1 paper) and Probability and Risk Models (1 paper). The work is most often cited by research in Infectious Diseases (425 citations), Neurology (138 citations), Critical Care and Intensive Care Medicine (41 citations), Health Informatics (12 citations) and Modeling and Simulation (28 citations). Jiatao Lu has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Jianxing He, Haiyan Guo, Wei‐jie Guan, Jun Guo, Zisheng Chen, Nuofu Zhang, Guoqiang Chen, Shiyue Li, Yi Zhao and Limin Ou. Their work appears in journals such as BMC Ophthalmology, JAMA Internal Medicine and North American Actuarial Journal.

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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