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
- Viral Infections and Vectors 3
- HIV/AIDS Research and Interventions 3
- Virology 5
- HIV Research and Treatment 3
- Poxvirus research and outbreaks 2
- Co-authors
- Yiming Shao (9 shared papers)Yuhua Ruan (8 shared papers)Hui Qin Xing (8 shared papers)Lingjie Liao (8 shared papers)Hongbin Song (1 shared paper)Xuelin Liu (1 shared paper)Jiajun Cui (1 shared paper)Yutao Yang (1 shared paper)
- Journals
- BMJ Open (2 papers)Medicine (2 papers)Infection Genetics and Evolution (2 papers)The Lancet (1 paper)AIDS Research and Therapy (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Wei Kan
25 papers receiving 378 citations
Peers
Comparison fields: 5 of 79
- Virology 67
- Infectious Diseases 165
- Parasitology 38
- Molecular Medicine 13
- 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 | 2016 | 38 | |
| 3 | 2017 | 36 | |
| 4 | 2014 | 35 | |
| 5 | 2022 | 28 | |
| 6 | 2016 | 25 | |
| 7 | 2015 | 23 | |
| 8 | 2014 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2023 | 15 | |
| 11 | 2017 | 15 | |
| 12 | 2015 | 15 | |
| 13 | 2015 | 11 | |
| 14 | 2020 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 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 |
| 18 | 2020 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 4 |
About Wei Kan
Wei Kan is a scholar working on Infectious Diseases, Virology, Parasitology, Agronomy and Crop Science and Molecular Medicine, having authored 26 papers that have together received 389 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), Viral Infections and Vectors (3 papers), HIV Research and Treatment (3 papers), HIV/AIDS Research and Interventions (3 papers), Vector-borne infectious diseases (3 papers), Antibiotic Resistance in Bacteria (2 papers), Poxvirus research and outbreaks (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Virology (67 citations), Infectious Diseases (165 citations), Parasitology (38 citations), Molecular Medicine (13 citations) and Microbiology (11 citations). Wei Kan has collaborated with scholars based in China, United States and India. Frequent co-authors include Yiming Shao, Yuhua Ruan, Hui Qin Xing, Lingjie Liao, Hongbin Song, Xuelin Liu, Jiajun Cui, Yutao Yang, Chuanfu Zhang and Zhongbao Zuo. Their work appears in journals such as BMJ Open, Medicine, Infection Genetics and Evolution, The Lancet and AIDS Research and Therapy.
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.