Lili Wu

4.9k citations
29 papers · 2.6k indexed · 1 hit paper · h-index 13
Topics
SARS-CoV-2 and COVID-19 Research (12 papers)COVID-19 Clinical Research Studies (8 papers)Animal Virus Infections Studies (8 papers)
Partner nations
ChinaCzechiaHong Kong

In The Last Decade

Lili Wu

29 papers receiving 2.5k citations

Hit Papers

Structural and Functional Basis of SARS-CoV-2 Entry by Us...2020202620222024202050010001.5k2.0k

Peers

Lili Wu
Comparison fields: 5 of 116
  • Infectious Diseases 2.0k
  • Molecular Biology 697
  • Computational Theory and Mathematics 336
  • Animal Science and Zoology 324
  • Epidemiology 291
Replace Chengpeng Qiao with:
Chengpeng Qiao China
James Brett Case United States
Sho Iketani United States
Cody B. Jackson United States
Zhixia Mu China
Zengyuan Zhang China
Wanbo Tai United States
Yongfei Cai United States
Rita E. Chen United States
Lili Wu relative to Chengpeng Qiao China Chengpeng Qiao's profile →
Citations per field
00.5×
Chengpeng Qiao · 1×
Citations per year

Countries citing papers authored by Lili Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lili Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lili Wu. A scholar is included among the top collaborators of Lili Wu 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 Lili Wu. Lili Wu 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
#WorkIndexed citations
1 1
2 3
3 20
4 2
5 4
6 45
7 4
8 14
9 13
10 5
11 3
12 43
13 2
14 26
15 66
16 123
17
Structural and Functional Basis of SARS-CoV-2 Entry by Using Human ACE2breakdown →
2018
18 67
19 22
20 14

About Lili Wu

Lili Wu is a scholar working on Infectious Diseases, Animal Science and Zoology and Ophthalmology, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (8 papers) and Animal Virus Infections Studies (8 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Animal Science and Zoology (324 citations) and Computational Theory and Mathematics (336 citations). Lili Wu has collaborated with scholars based in China, Czechia and Hong Kong. Frequent co-authors include Jianxun Qi, Jinghua Yan, Qihui Wang, Yanfang Zhang, Yu Hu, Chengpeng Qiao, Guangwen Lu, Sheng Niu, Chunli Song and Kwok‐Yung Yuen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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