Yan Cui

57 papers receiving 2.1k citations

Yan Cui's Hit Papers

Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020 2020 · 797 citations
7970+2+4Years since publication250500750

Peers

Yan Cui
Comparison fields: 5 of 155
  • General Dentistry 88
  • Modeling and Simulation 196
  • Pulmonary and Respiratory Medicine 544
  • Biochemistry 97
  • Infectious Diseases 284
Replace Liang Du with:
Liang Du China
Yiru Wang China
Yiming Li China
Ying Huang China
Jin-Ling Tang China
Zhaofeng Chen China
Xiaochen Li China
Yuanzhen Zhang China
Jianhua Mao China
Yan Cui relative to Liang Du China Liang Du's profile →
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Citations per year

Countries citing papers authored by Yan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020
Hit paper breakdown →
2020797
2 2006185
3 2006145
4 2008126
5 2004114
6 2007113
7 200687
8 200873
9 202264
10 200554
11 200948
12 200638
13 201030
14 202028
15 200626
16 202121
17 200719
18 202217
19 201413
20 201713

About Yan Cui

Yan Cui is a scholar working on Oncology, Epidemiology, Nutrition and Dietetics, Food Science and Infectious Diseases, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Trace Elements in Health (4 papers), Hepatitis B Virus Studies (3 papers), Breast Cancer Treatment Studies (3 papers), Neurobiology of Language and Bilingualism (3 papers), COVID-19 Clinical Research Studies (3 papers), Breast Lesions and Carcinomas (3 papers), Cancer Risks and Factors (3 papers) and Essential Oils and Antimicrobial Activity (3 papers). The work is most often cited by research in General Dentistry (88 citations), Modeling and Simulation (196 citations), Pulmonary and Respiratory Medicine (544 citations), Biochemistry (97 citations) and Infectious Diseases (284 citations). Yan Cui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Thomas E. Rohan, Zuo‐Feng Zhang, Bing Lu, Kun Liu, Wei Chen, Zhongyi Wang, Ke Zhang, Chao Li, Lin Li and Bin Liu. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Breast Cancer Research and Treatment, International Journal of Cancer, Food Research International and Frontiers in Pharmacology.

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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