Wei Kan

484 citations
26 papers · 363 · h-index 12

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • Viral Infections and Vectors

Papers in

    • HIV/AIDS drug development and treatment 8
    • HIV/AIDS Research and Interventions 3
    • Viral Infections and Vectors 3
    • HIV Research and Treatment 3

Wei Kan

25 papers receiving 352 citations

Peers

Wei Kan
Comparison fields: 5 of 78
  • Virology 61
  • Infectious Diseases 156
  • Parasitology 35
  • Molecular Medicine 12
  • Microbiology 11
Replace R. Blundell with:
R. Blundell United Kingdom
Helén Edebro Sweden
Alexey A. Chistov Russia
Barbara Haller United States
Alexander Kruglov Russia
Mohammad Hassan Pouriayevali Iran
Anna Maria Cuppone Italy
Helen Hocking Australia
Samira Boarbi Belgium
Megan Pavy Australia
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Citations per field
00.5×5.8×
R. Blundell · 1×
Citations per year

Countries citing papers authored by Wei Kan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201054
2 201734
3 201634
4 201432
5 202226
6 201624
7 201523
8 201421
9 201819
10 201715
11 201513
12 202312
13 201510
14 20237
15 20206
16
Application research of chronic disease health management in an urban community based on the PRECEDE-PROCEED model in the long-term management of diabetes mellitus.
20216
17 20246
18 20205
19 20224
20 20173

About Wei Kan

Wei Kan is a scholar working on Infectious Diseases, Virology, Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Parasitology, having authored 26 papers that have together received 363 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), HIV/AIDS Research and Interventions (3 papers), Vector-borne infectious diseases (3 papers), Viral Infections and Vectors (3 papers), HIV Research and Treatment (3 papers), Advanced Photocatalysis Techniques (2 papers), Vector-Borne Animal Diseases (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Virology (61 citations), Infectious Diseases (156 citations), Parasitology (35 citations), Molecular Medicine (12 citations) and Microbiology (11 citations). Wei Kan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yiming Shao, Lingjie Liao, Yuhua Ruan, Hui Xing, Yutao Yang, Hongbin Song, Chuanfu Zhang, Xuelin Liu, Jiajun Cui and Cui He. Their work appears in journals such as Medicine, BMJ Open, Infection Genetics and Evolution, AIDS Research and Therapy and International Journal of Infectious Diseases.

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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