Yan Yan

15.4k citations
320 papers · 11.1k · 3 hit papers · h-index 47

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 17
    • COVID-19 Clinical Research Studies 9
    • Immune Cell Function and Interaction 12
    • interferon and immune responses 9

Yan Yan

291 papers receiving 10.8k citations

Yan Yan's Hit Papers

Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study 2020 · 211 citations
2110+2+4Years since publication10002.0k3.0k

Peers

Yan Yan
Comparison fields: 5 of 217
  • Infectious Diseases 2.9k
  • Modeling and Simulation 357
  • General Dentistry 108
  • Immunology 1.1k
  • Nephrology 324
Replace John N Newton with:
John N Newton United Kingdom
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Min Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Yan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 320 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak – an update on the status
Hit paper breakdown →
20203335
2
Crystal structure of SARS-CoV-2 nucleocapsid protein RNA binding domain reveals potential unique drug targeting sites
Hit paper breakdown →
2020496
3 2000253
4
Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study
Hit paper breakdown →
2020211
5 2019194
6 2015177
7 2020170
8 2005168
9 2015166
10 2016159
11 2006146
12 2019144
13 2005132
14 2020129
15 2013110
16 2017107
17 2006106
18 2014105
19 2020103
20 201297

About Yan Yan

Yan Yan is a scholar working on Infectious Diseases, Immunology, Epidemiology, Oncology and Cardiology and Cardiovascular Medicine, having authored 320 papers that have together received 11.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), Immune Cell Function and Interaction (12 papers), Liver Disease Diagnosis and Treatment (11 papers), Hepatitis C virus research (10 papers), Hepatitis B Virus Studies (9 papers), COVID-19 Clinical Research Studies (9 papers), interferon and immune responses (9 papers) and Influenza Virus Research Studies (8 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Modeling and Simulation (357 citations), General Dentistry (108 citations), Immunology (1.1k citations) and Nephrology (324 citations). Yan Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include De‐yun Wang, Kai Sen Tan, Jiancheng Guan, Shuang Chen, Yan S. Xu, Jingjing Zhang, Yao Nie, Tong‐Bu Lu, Jia‐Mei Chen and Jingjing Zhang. Their work appears in journals such as Frontiers in Microbiology, Medicine, The Journal of Immunology, Scientific Reports and Frontiers in Immunology.

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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