Xiuli Wei

2.5k citations
83 papers · 1.9k · 1 hit paper · h-index 24

Impact in

Papers in

Xiuli Wei

79 papers receiving 1.9k citations

Xiuli Wei's Hit Papers

Composition and divergence of coronavirus spike proteins and host ACE2 receptors predict potential intermediate hosts of SARS‐CoV‐2 2020 · 501 citations
5010+2+4Years since publication100200300400500

Peers

Xiuli Wei
Comparison fields: 5 of 147
  • Pharmaceutical Science 200
  • Infectious Diseases 403
  • Animal Science and Zoology 217
  • Biomaterials 176
  • Immunology 197
Replace Aiping Wang with:
Aiping Wang China
Jingjing Wang China
Tiantian Xu China
Changbing Wang China
Congrong Wang China
Rajbir Singh India
Junjie Zhang China
Hitendra S. Chand United States
Jiaying Zhang China
Hongtao Liu China
Xiuli Wei relative to Aiping Wang China Aiping Wang's profile →
Citations per field
00.5×2.8×
Aiping Wang · 1×
Citations per year

Countries citing papers authored by Xiuli Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiuli Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Composition and divergence of coronavirus spike proteins and host ACE2 receptors predict potential intermediate hosts of SARS‐CoV‐2
Hit paper breakdown →
2020501
2 2020135
3 2007103
4 201491
5 201367
6 200659
7 202054
8 202354
9 201648
10 201748
11 201048
12 201842
13 201741
14 200741
15 202031
16 201431
17 200531
18 201731
19 201127
20 200327

About Xiuli Wei

Xiuli Wei is a scholar working on Molecular Biology, Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis and Immunology, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (12 papers), Atmospheric aerosols and clouds (8 papers), Air Quality and Health Impacts (8 papers), Water Quality Monitoring and Analysis (7 papers), Drug Solubulity and Delivery Systems (5 papers), Advanced Drug Delivery Systems (5 papers), Air Quality Monitoring and Forecasting (5 papers) and Advanced Measurement and Detection Methods (4 papers). The work is most often cited by research in Pharmaceutical Science (200 citations), Infectious Diseases (403 citations), Animal Science and Zoology (217 citations), Biomaterials (176 citations) and Immunology (197 citations). Xiuli Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wei Liang, Zhixin Liu, Long Liu, Wei Wu, Jing Yang, Jianguo Wu, Jian Li, Qiwei Zhang, Xiao Xiao and Huabing Tan. Their work appears in journals such as Journal of Environmental Sciences, Materials, The Science of The Total Environment, Food Chemistry and Drug Delivery.

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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