Dayan Wang

56.8k citations
200 papers · 23.0k indexed · 4 hit papers · h-index 31

Dayan Wang

188 papers receiving 22.4k citations

Hit Papers

Impact of COVID-19 outbr...17520092026201420205.0k10.0k15.0k

Peers

Dayan Wang
Comparison fields: 5 of 204
  • Infectious Diseases 13.4k
  • Modeling and Simulation 2.5k
  • General Dentistry 414
  • Neurology 3.4k
  • Epidemiology 5.0k
Replace Weifeng Shi with:
Weifeng Shi China
Xuejun Ma China
Ziad A. Memish Saudi Arabia
George F. Gao China
Christian Drosten Germany
Leo L. M. Poon Hong Kong
Marcel A. Müller Germany
Paul K.S. Chan Hong Kong
Vincent Chi‐Chung Cheng China
Kelvin Kai‐Wang To Hong Kong
Dayan Wang relative to Weifeng Shi China Weifeng Shi's profile →
Citations per field
00.5×1.5×
Weifeng Shi · 1×
Citations per year

Countries citing papers authored by Dayan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dayan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20250
5 20245
6 20240
7 20231
8 202211
9 20225
10 202221
11 20223
12 202156
13 202010
14 20188
15 201820
16 201816
17 20181
18 20161
19
Survey of avian influenza virus distribution in area around Qinghai Lake.
20151
20
[Susceptibility of human influenza A (H3N2) viruses to neuraminidase inhibitors isolated during 2011-2012 in China].
20151

About Dayan Wang

Dayan Wang is a scholar working on Agronomy and Crop Science, Epidemiology and Modeling and Simulation, having authored 200 papers that have together received 23.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (168 papers), Respiratory viral infections research (78 papers), Animal Disease Management and Epidemiology (61 papers), Viral gastroenteritis research and epidemiology (33 papers), Viral Infections and Vectors (24 papers), COVID-19 epidemiological studies (23 papers), interferon and immune responses (18 papers) and RNA and protein synthesis mechanisms (13 papers). The work is most often cited by research in Infectious Diseases (13.4k citations), Modeling and Simulation (2.5k citations) and General Dentistry (414 citations). Dayan Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include George F. Gao, Weifeng Shi, Xingwang Li, Xiang Zhao, Xuejun Ma, Guizhen Wu, Wenjie Tan, Wenbo Xu, Baoying Huang and Peihua Niu. Their work appears in journals such as China CDC Weekly, Emerging Microbes & Infections, Emerging infectious diseases, Infectious Diseases of Poverty and Biosafety and 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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