Minxi Wei

460 citations
15 papers · 314 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology

Papers in

Minxi Wei

14 papers receiving 309 citations

Peers

Minxi Wei
Comparison fields: 5 of 60
  • Hepatology 105
  • Infectious Diseases 136
  • Epidemiology 145
  • Small Animals 20
  • Immunology 54
Replace Huirong Pan with:
Huirong Pan China
Himanshu Sharma United States
Mujin Fang China
Scott A. Lindsay Australia
Jidang Chen China
Rosa Elena Sarmiento‐Silva Mexico
Lorena Sánchez-Felipe Belgium
Wolfram Pfahler United States
Xiang Sun China
Gabriela Hrebikova United States
Minxi Wei relative to Huirong Pan China Huirong Pan's profile →
Citations per field
00.5×3.3×
Huirong Pan · 1×
Citations per year

Countries citing papers authored by Minxi Wei

Since Specialization
Citations

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

Fields of papers citing papers by Minxi Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201469
2 201438
3 201035
4 201530
5 201728
6 201624
7 201218
8 201818
9 201815
10
[Production of human papillomavirus type 16 virus-like particles and its immunogenicity].
200913
11 201611
12 20176
13 20175
14 20094
15
[Expression, purification and immunogenicity of human papillomavirus type 11 virus-like particles from Escherichia coli].
20090

About Minxi Wei

Minxi Wei is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Genetics and Molecular Biology, having authored 15 papers that have together received 314 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Hepatitis B Virus Studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Virus-based gene therapy research (3 papers), Liver Disease and Transplantation (3 papers), Bacteriophages and microbial interactions (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Hepatology (105 citations), Infectious Diseases (136 citations), Epidemiology (145 citations), Small Animals (20 citations) and Immunology (54 citations). Minxi Wei has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Ningshao Xia, Shaowei Li, Jun Zhang, Ying Gu, Qinjian Zhao, Huirong Pan, Hai Yu, Kaihang Wang, Daning Wang and Zhihai Li. Their work appears in journals such as Vaccine, Emerging Microbes & Infections, Journal of Molecular Modeling, Protein Science and Protein Expression and Purification.

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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