Yali Wang

4.5k total citations · 1 hit paper
68 papers, 3.0k citations indexed

About

Yali Wang is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Yali Wang has authored 68 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 18 papers in Infectious Diseases and 13 papers in Molecular Biology. Recurrent topics in Yali Wang's work include COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Aquaculture disease management and microbiota (6 papers). Yali Wang is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Aquaculture disease management and microbiota (6 papers). Yali Wang collaborates with scholars based in China, United States and Singapore. Yali Wang's co-authors include Mengzhu Zheng, Hua Li, Yang Xu, Lixia Chen, Yueying Yang, Canrong Wu, Yang Liu, Wu Zhong, Peng Zhang and Xingzhou Li and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Yali Wang

57 papers receiving 2.9k citations

Hit Papers

Analysis of therapeutic targets for SARS-CoV-2 and discov... 2020 2026 2022 2024 2020 500 1000 1.5k

Peers

Yali Wang
Comparison fields: 5 of 143
  • Infectious Diseases 1.2k
  • Computational Theory and Mathematics 822
  • Molecular Biology 733
  • Immunology 478
  • Pharmacology 241
Replace Haiyan Li with:
Haiyan Li China
Xiaowei Li China
Thiago Moreno L. Souza Brazil
Santosh Kumar United States
Feifei Chen China
Nina Isoherranen United States
Michael O. Clarke United States
M. C. Berenbaum United Kingdom
Haiyan Li China View profile →
Citations per field, relative to Yali Wang
Yali Wang · 1×
Citations per year, relative to Yali Wang
Yali Wang · 1×

Countries citing papers authored by Yali Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yali Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yali Wang. A scholar is included among the top collaborators of Yali Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yali Wang. Yali Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 0
6 6
7 0
8 13
9 14
10 24
11 22
12 6
13 22
14 32
15 141
16 162
17 5
18 11
19 40
20 29

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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