Xiaoli Wang

2.7k citations
60 papers · 1.6k · h-index 18

Impact in

Papers in

Xiaoli Wang

52 papers receiving 1.6k citations

Peers

Xiaoli Wang
Comparison fields: 5 of 129
  • Modeling and Simulation 346
  • Infectious Diseases 745
  • Agronomy and Crop Science 278
  • Cardiology and Cardiovascular Medicine 453
  • General Dentistry 32
Replace Jianyun Lu with:
Jianyun Lu China
Xinghuo Pang China
Peter K.C. Cheng China
James Mark Simmerman Thailand
Min Kang China
Tie Song China
Lin Cui Singapore
Shufa Zheng China
Ai Ee Ling Singapore
Xiaoli Wang relative to Jianyun Lu China Jianyun Lu's profile →
Citations per field
00.5×7.8×
Jianyun Lu · 1×
Citations per year

Countries citing papers authored by Xiaoli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020323
2 2011208
3 2020193
4 201792
5 201469
6 201364
7 201460
8 201559
9 201653
10 201546
11 201344
12 202040
13 201931
14 201531
15 201524
16 200923
17 201019
18 201717
19 201515
20 201615

About Xiaoli Wang

Xiaoli Wang is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Modeling and Simulation and Agronomy and Crop Science, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (24 papers), COVID-19 epidemiological studies (15 papers), Animal Disease Management and Epidemiology (13 papers), Viral gastroenteritis research and epidemiology (12 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Data-Driven Disease Surveillance (6 papers), Influenza Virus Research Studies (6 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Modeling and Simulation (346 citations), Infectious Diseases (745 citations), Agronomy and Crop Science (278 citations), Cardiology and Cardiovascular Medicine (453 citations) and General Dentistry (32 citations). Xiaoli Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Quanyi Wang, C. Raina MacIntyre, Peng Yang, Lei Jia, Zhiqiang Ku, Xiaohua Ye, Qingwei Liu, Zhong Huang, Holly Seale and Yi Zhang. Their work appears in journals such as China CDC Weekly, BMC Infectious Diseases, Vaccine, Journal of Virology and Scientific Reports.

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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