Xiaoli Wang

2.8k citations
68 papers · 1.8k · h-index 19

Impact in

Papers in

Xiaoli Wang

59 papers receiving 1.8k citations

Peers

Xiaoli Wang
Comparison fields: 5 of 120
  • Modeling and Simulation 263
  • Infectious Diseases 687
  • Cardiology and Cardiovascular Medicine 457
  • Agronomy and Crop Science 201
  • General Dentistry 22
Replace Eeva Broberg with:
Eeva Broberg Sweden
Claire M. Midgley United States
Xinghuo Pang China
Jianyun Lu China
Yoon‐Seok Chung South Korea
Arnaud Grégoire L’Huillier Switzerland
Amber Haynes United States
Alex Mann United Kingdom
Anthony Gilbert United States
Shujiang Mei China
Xiaoli Wang relative to Eeva Broberg Sweden Eeva Broberg's profile →
Citations per field
00.5×2×3×3.7×
Eeva Broberg · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020355
2 2020249
3 2011215
4 2017102
5 201470
6 201365
7 201561
8 201460
9 201655
10 201548
11 201345
12 202040
13 202137
14 201535
15 201934
16 201526
17 200922
18 202320
19 202320
20 201019

About Xiaoli Wang

Xiaoli Wang is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Modeling and Simulation, Epidemiology and Agronomy and Crop Science, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (24 papers), Viral gastroenteritis research and epidemiology (9 papers), COVID-19 epidemiological studies (9 papers), Animal Disease Management and Epidemiology (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Influenza Virus Research Studies (6 papers), Data-Driven Disease Surveillance (5 papers) and Infection Control and Ventilation (4 papers). The work is most often cited by research in Modeling and Simulation (263 citations), Infectious Diseases (687 citations), Cardiology and Cardiovascular Medicine (457 citations), Agronomy and Crop Science (201 citations) and General Dentistry (22 citations). Xiaoli Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Quanyi Wang, Chandini Raina MacIntyre, Peng Yang, Lei Jia, Qingwei Liu, Zhong Wei Huang, Xiaohua Ye, Zhiqiang Ku, Yang Pan and Yi Zhang. Their work appears in journals such as China CDC Weekly, BMC Infectious Diseases, Vaccine, Journal of Virology and Human Vaccines & Immunotherapeutics.

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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