Dan Cui

9.9k total citations · 1 hit paper
144 papers, 2.4k citations indexed

About

Dan Cui is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Dan Cui has authored 144 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 17 papers in Epidemiology and 16 papers in Neurology. Recurrent topics in Dan Cui's work include Long-Term Effects of COVID-19 (11 papers), COVID-19 and Mental Health (9 papers) and Neuroendocrine regulation and behavior (7 papers). Dan Cui is often cited by papers focused on Long-Term Effects of COVID-19 (11 papers), COVID-19 and Mental Health (9 papers) and Neuroendocrine regulation and behavior (7 papers). Dan Cui collaborates with scholars based in China, United States and Japan. Dan Cui's co-authors include Zongfu Mao, Bo Zhai, Ying Yang, Bin Cao, Yeming Wang, Xiaoying Gu, Lixue Huang, Lianhan Shang, Jiachang Chi and Xinming Wang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Dan Cui

131 papers receiving 2.3k citations

Hit Papers

Health outcomes in people 2 years after surviving hospita... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Cui China 25 605 406 281 273 263 144 2.4k
Peipei Song China 28 651 1.1× 146 0.4× 226 0.8× 444 1.6× 112 0.4× 104 2.5k
Wei Fu China 12 346 0.6× 306 0.8× 219 0.8× 614 2.2× 165 0.6× 36 1.8k
Maria das Graçãs Carvalho Ferriani Brazil 30 685 1.1× 143 0.4× 215 0.8× 130 0.5× 126 0.5× 292 4.6k
Mayumi Tsuji Japan 24 812 1.3× 134 0.3× 219 0.8× 100 0.4× 123 0.5× 170 2.3k
Hua Chen United States 31 580 1.0× 110 0.3× 290 1.0× 93 0.3× 198 0.8× 189 3.1k
Jennifer Abbasi United States 23 326 0.5× 153 0.4× 228 0.8× 541 2.0× 176 0.7× 283 2.3k
Chuanzhu Lv China 25 419 0.7× 119 0.3× 151 0.5× 116 0.4× 501 1.9× 112 2.7k
Keum Hwa Lee South Korea 28 820 1.4× 242 0.6× 342 1.2× 561 2.1× 111 0.4× 92 3.3k
Qing Gong China 15 517 0.9× 210 0.5× 538 1.9× 872 3.2× 362 1.4× 40 3.4k

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-authorship network of co-authors of Dan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Cui. A scholar is included among the top collaborators of Dan Cui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Cui. Dan Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiang, Jinhua, Feng Liu, Dan Cui, et al.. (2025). Novel molecular mechanisms of immune evasion in hepatocellular carcinoma: NSUN2‐mediated increase of SOAT2 RNA methylation. Cancer Communications. 45(7). 846–879. 6 indexed citations
2.
Liu, Dengxiang, Ruiping Wang, Nana Kong, et al.. (2025). Gut Microbiota Dysbiosis in Preeclampsia: Mechanisms, Biomarkers, and Probiotic‐Based Interventions. Mediators of Inflammation. 2025(1). 3010379–3010379.
3.
Liu, Yan, Shuhua Li, & Dan Cui. (2024). Analysis of translation teaching skills in colleges and universities based on deep learning. Computers in Human Behavior. 157. 108212–108212. 3 indexed citations
4.
Wang, Yeming, Li Guo, Dan Cui, et al.. (2024). Immune Responses in Discharged COVID-19 Patients With and Without Long COVID Symptoms. Open Forum Infectious Diseases. 11(4). ofae137–ofae137. 2 indexed citations
5.
Chen, Jianguo, Bowen Chen, Yu Han, et al.. (2024). Association between dietary folate intake and severe abdominal aorta calcification in adults: A cross-sectional analysis of the national health and nutrition examination survey. Diabetes and Vascular Disease Research. 21(2). 1507089243–1507089243. 1 indexed citations
6.
Wang, Tong, Dan Cui, Yaxin Tian, et al.. (2024). A metagene based similarity network fusion approach for multi-omics data integration identified novel subtypes in renal cell carcinoma. Briefings in Bioinformatics. 25(6). 2 indexed citations
7.
Mao, Zongfu, et al.. (2023). The effect of informal social support on the health of Chinese older adults: a cross-sectional study. BMC Public Health. 23(1). 1017–1017. 2 indexed citations
8.
Huang, Yiman, Weijun Xiao, Mingyu Si, et al.. (2023). COVID-19 Vaccine Hesitancy Among Patients Recovered From COVID-19 Infection in Wuhan, China: Cross-Sectional Questionnaire Study. JMIR Public Health and Surveillance. 9. e42958–e42958. 6 indexed citations
10.
Chen, Xu, Mingyu Si, Shu Jing, et al.. (2023). Suicidal ideation and associated risk factors among COVID-19 patients who recovered from the first wave of the pandemic in Wuhan, China. QJM. 116(7). 509–517. 7 indexed citations
11.
Zhao, Xiaoling, et al.. (2023). The effect of gut microbiota dysbiosis on patients with preeclampsia. Frontiers in Cellular and Infection Microbiology. 12. 1022857–1022857. 17 indexed citations
12.
Bonenfant, Gaston, Terianne Wong, Carlos G. Grijalva, et al.. (2022). Surveillance and Correlation of Severe Acute Respiratory Syndrome Coronavirus 2 Viral RNA, Antigen, Virus Isolation, and Self-Reported Symptoms in a Longitudinal Study With Daily Sampling. Clinical Infectious Diseases. 75(10). 1698–1705. 6 indexed citations
13.
Xiao, Weijun, Yiman Huang, Mingyu Si, et al.. (2022). Influencing factors of anxiety and depression of discharged COVID-19 patients in Wuhan, China. PLoS ONE. 17(11). e0276608–e0276608. 9 indexed citations
14.
Cui, Dan, et al.. (2022). Capitalism, Colonialism, Morality Renovation in John Keats’s Isabella or The Pot of Basil. 5(1). p1–p1. 1 indexed citations
15.
Wang, Jing, Ying Yang, Yuan Shen, et al.. (2022). Impact of ‘4+7’ volume-based drug procurement on the use of policy-related original and generic drugs: a natural experimental study in China. BMJ Open. 12(3). e054346–e054346. 29 indexed citations
16.
Cui, Dan, Emilio E. Espínola, Komal Arora, & Margo A. Brinton. (2021). Two Interferon-Stimulated Response Elements Cooperatively Regulate Interferon-Stimulated Gene Expression in West Nile Virus-Infected IFNAR −/− Mouse Embryo Fibroblasts. Journal of Virology. 95(22). e0104021–e0104021. 3 indexed citations
17.
Cui, Dan, et al.. (2019). RNase L Antiviral Activity Is Not a Critical Component of the Oas1b-Mediated Flavivirus Resistance Phenotype. Journal of Virology. 93(22). 4 indexed citations
18.
Li, Shujuan, et al.. (2016). Research on Transition Characters of Plastic and Brittle for Scribing SiC Single Crystal. 45(11). 2625. 2 indexed citations
20.
Kelly, Jennifer & Dan Cui. (2010). A Historical Exploration of Internationally Educated Teachers: Jamaican Teachers in 1960s Alberta.. Canadian Journal of Educational Administration and Policy. 4 indexed citations

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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