Wei Kan
Impact in
- Virology top 10%
- HIV Research and Treatment
- Infectious Diseases top 10%
- 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
- Virology 5
- HIV Research and Treatment 3
- Co-authors
- Yuhua Ruan (8 shared papers)Yiming Shao (9 shared papers)Hui Xing (8 shared papers)Lingjie Liao (8 shared papers)Hongbin Song (1 shared paper)Yutao Yang (1 shared paper)Jiajun Cui (1 shared paper)Xuelin Liu (1 shared paper)
- Journals
- Medicine (2 papers)BMJ Open (2 papers)Infection Genetics and Evolution (2 papers)AIDS Research and Therapy (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Kan
25 papers receiving 358 citations
Peers
Comparison fields: 5 of 79
- Virology 62
- Infectious Diseases 157
- Parasitology 35
- Molecular Medicine 12
- Microbiology 11
Countries citing papers authored by Wei Kan
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
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.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 54 | |
| 2 | 2017 | 34 | |
| 3 | 2016 | 34 | |
| 4 | 2014 | 32 | |
| 5 | 2022 | 27 | |
| 6 | 2016 | 25 | |
| 7 | 2015 | 23 | |
| 8 | 2014 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2017 | 15 | |
| 11 | 2015 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 7 | |
| 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. | 2021 | 6 |
| 17 | 2024 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2017 | 3 |
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 369 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 (62 citations), Infectious Diseases (157 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 Yuhua Ruan, Yiming Shao, Hui Xing, Lingjie Liao, Hongbin Song, Yutao Yang, Jiajun Cui, Xuelin Liu, Chuanfu Zhang and Cui He. Their work appears in journals such as Medicine, BMJ Open, Infection Genetics and Evolution, AIDS Research and Therapy and Frontiers in Public Health.
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.