Lan Wei
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
-
- HIV/AIDS Research and Interventions 8
- SARS-CoV-2 and COVID-19 Research 2
- HIV/AIDS drug development and treatment 2
-
- HIV, Drug Use, Sexual Risk 5
- Co-authors
- Michael A. McNutt (2 shared papers)Christine Korteweg (2 shared papers)Shen Sun (2 shared papers)Hong Zhu (2 shared papers)Jing Zhang (2 shared papers)Jiang Gu (2 shared papers)Wenchang Tan (1 shared paper)Xian Feng (1 shared paper)
- Journals
- Environment International (2 papers)The Lancet (1 paper)BMJ Open (1 paper)Biochemistry and Cell Biology (1 paper)China CDC Weekly (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Lan Wei
14 papers receiving 509 citations
Peers
Comparison fields: 5 of 92
- Infectious Diseases 301
- Modeling and Simulation 53
- Endocrinology, Diabetes and Metabolism 142
- Virology 35
- Neurology 77
Countries citing papers authored by Lan Wei
This map shows the geographic impact of Lan 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 Lan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wei more than expected).
Fields of papers citing papers by Lan Wei
This network shows the impact of papers produced by Lan 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 Lan Wei. The network helps show where Lan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 172 | |
| 2 | 2010 | 72 | |
| 3 | 2021 | 55 | |
| 4 | 2002 | 55 | |
| 5 | 2019 | 46 | |
| 6 | 2019 | 28 | |
| 7 | 2017 | 24 | |
| 8 | 2019 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2022 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 |
About Lan Wei
Lan Wei is a scholar working on Infectious Diseases, Epidemiology, Sociology and Political Science, Virology and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 525 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (8 papers), HIV, Drug Use, Sexual Risk (5 papers), Sex work and related issues (4 papers), HIV Research and Treatment (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Sperm and Testicular Function (2 papers), Reproductive Biology and Fertility (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Infectious Diseases (301 citations), Modeling and Simulation (53 citations), Endocrinology, Diabetes and Metabolism (142 citations), Virology (35 citations) and Neurology (77 citations). Lan Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Michael A. McNutt, Christine Korteweg, Shen Sun, Hong Zhu, Jing Zhang, Jiang Gu, Wenchang Tan, Xian Feng, Suat‐Cheng Peh and Jinquan Cheng. Their work appears in journals such as Environment International, The Lancet, BMJ Open, Biochemistry and Cell Biology and China CDC Weekly.
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.