Lan Wei
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Cystic Fibrosis Research Advances
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Chris R. Cardwell (1 shared paper)Erich Klem (1 shared paper)Gisli G. Einarsson (1 shared paper)J. Stuart Elborn (1 shared paper)Matthew C. Wolfgang (1 shared paper)Madeleine Ennis (1 shared paper)Michael M. Tunney (1 shared paper)Richard C. Boucher (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Frontiers in Marine Science (3 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)BMC Infectious Diseases (2 papers)American Journal of Infection Control (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Lan Wei
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Modeling and Simulation 72
- Pulmonary and Respiratory Medicine 282
- Infectious Diseases 133
- Epidemiology 153
- Ecological Modeling 11
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
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 266 | |
| 2 | 2015 | 108 | |
| 3 | 2006 | 106 | |
| 4 | 2011 | 85 | |
| 5 | 2010 | 68 | |
| 6 | 2022 | 61 | |
| 7 | 2014 | 60 | |
| 8 | 2019 | 60 | |
| 9 | 2016 | 55 | |
| 10 | 2017 | 37 | |
| 11 | 2011 | 33 | |
| 12 | 2015 | 33 | |
| 13 | 2015 | 26 | |
| 14 | 2018 | 24 | |
| 15 | 2023 | 24 | |
| 16 | 2020 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2017 | 19 | |
| 19 | 2023 | 17 | |
| 20 | 2021 | 15 |
About Lan Wei
Lan Wei is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Rehabilitation and Complementary and alternative medicine, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), Wound Healing and Treatments (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Respiratory viral infections research (2 papers), Mosquito-borne diseases and control (2 papers), Pelvic floor disorders treatments (2 papers), Influenza Virus Research Studies (2 papers) and Hair Growth and Disorders (2 papers). The work is most often cited by research in Modeling and Simulation (72 citations), Pulmonary and Respiratory Medicine (282 citations), Infectious Diseases (133 citations), Epidemiology (153 citations) and Ecological Modeling (11 citations). Lan Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chris R. Cardwell, Erich Klem, Gisli G. Einarsson, J. Stuart Elborn, Matthew C. Wolfgang, Madeleine Ennis, Michael M. Tunney, Richard C. Boucher, Máire Drain and Sheena G. Sullivan. Their work appears in journals such as Frontiers in Immunology, Frontiers in Marine Science, American Journal of Respiratory Cell and Molecular Biology, BMC Infectious Diseases and American Journal of Infection Control.
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.