Dan Cui

133 papers receiving 2.4k citations

Dan Cui's Hit Papers

Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study 2022 · 375 citations
3750+1+2Years since publication100200300

Peers

Dan Cui
Comparison fields: 5 of 164
  • Applied Microbiology and Biotechnology 51
  • Neurology 358
  • Pharmacology 214
  • Critical Care and Intensive Care Medicine 72
  • Infectious Diseases 196
Replace Peipei Song with:
Peipei Song China
Michael D. Wiese Australia
Jennifer Williams United States
Joseph D. Schulman United States
James M. Sanders United States
Michael Bergman United States
Wei Fu China
Frank Meyer Germany
Derick R. Peterson United States
Hua Chen United States
Dan Cui relative to Peipei Song China Peipei Song's profile →
Citations per field
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Peipei Song · 1×
Citations per year

Countries citing papers authored by Dan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Dan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study
Hit paper breakdown →
2022375
2 2001105
3 200796
4 201394
5 201476
6 200566
7 202154
8 202054
9 202046
10 200746
11 201345
12 202445
13 202141
14 202236
15 201734
16 202234
17 201534
18 202231
19 201131
20 201831

About Dan Cui

Dan Cui is a scholar working on Molecular Biology, Sociology and Political Science, Epidemiology, Infectious Diseases and Neurology, having authored 145 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Global Education and Multiculturalism (6 papers), Long-Term Effects of COVID-19 (6 papers), Pharmaceutical Economics and Policy (5 papers), COVID-19 and Mental Health (5 papers), RNA modifications and cancer (4 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (51 citations), Neurology (358 citations), Pharmacology (214 citations), Critical Care and Intensive Care Medicine (72 citations) and Infectious Diseases (196 citations). Dan Cui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zongfu Mao, Ying Yang, Yeming Wang, Bin Cao, Xiaoying Gu, Lixue Huang, Lianhan Shang, Hui Zhang, Xinming Wang and Jianwei Wang. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Pharmacology, Frontiers in Public Health and BMC Public Health.

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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