Yan Yan

15.1k citations
292 papers · 9.7k · 3 hit papers · h-index 44

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • COVID-19 epidemiological studies

Papers in

    • Liver Disease Diagnosis and Treatment 9
    • Hepatitis B Virus Studies 8
    • Influenza Virus Research Studies 8
    • Immune Cell Function and Interaction 12
    • interferon and immune responses 9

Yan Yan

271 papers receiving 9.4k citations

Yan Yan's Hit Papers

FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation 2022 · 106 citations
1060+2+4Years since publication10002.0k3.0k

Peers

Yan Yan
Comparison fields: 5 of 214
  • Infectious Diseases 2.5k
  • Modeling and Simulation 332
  • General Dentistry 106
  • Immunology 1.0k
  • Neurology 553
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Li Liu China
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Michael Day United Kingdom
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Citations per field
00.5×3.3×
Li Liu · 1×
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 292 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 →
20203186
2
Crystal structure of SARS-CoV-2 nucleocapsid protein RNA binding domain reveals potential unique drug targeting sites
Hit paper breakdown →
2020454
3 2000218
4 2015168
5 2005165
6 2016155
7 2015146
8 2006140
9 2019129
10 2020122
11 2005120
12 2013109
13
FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation
Hit paper breakdown →
2022106
14 2017104
15 201499
16 200698
17 202097
18 201791
19 201289
20 202289

About Yan Yan

Yan Yan is a scholar working on Epidemiology, Immunology, Molecular Biology, Infectious Diseases and Oncology, having authored 292 papers that have together received 9.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), SARS-CoV-2 and COVID-19 Research (10 papers), interferon and immune responses (9 papers), Hepatitis C virus research (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (8 papers), Animal Virus Infections Studies (8 papers) and Influenza Virus Research Studies (8 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Modeling and Simulation (332 citations), General Dentistry (106 citations), Immunology (1.0k citations) and Neurology (553 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, Yan Xu, Shuang Chen, Jingjing Zhang, Yao Nie, Tong‐Bu Lu, Jia‐Mei Chen and Jingjing Zhang. Their work appears in journals such as Frontiers in Microbiology, The Journal of Immunology, Medicine, 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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