Lan Wei
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
-
- Viral Infections and Vectors 5
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- J.S. Elborn (1 shared paper)Michael M. Tunney (2 shared papers)Máire Drain (2 shared papers)Richard C. Boucher (1 shared paper)Matthew C. Wolfgang (1 shared paper)Madeleine Ennis (1 shared paper)Erich Klem (1 shared paper)G.G. Einarsson (1 shared paper)
- Journals
- Frontiers in Marine Science (3 papers)Frontiers in Immunology (2 papers)Journal of Manufacturing Technology Management (1 paper)Saudi Journal of Biological Sciences (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lan Wei
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 135
- Modeling and Simulation 84
- Infectious Diseases 190
- Pulmonary and Respiratory Medicine 247
- Emergency Medical Services 44
- Epidemiology 196
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 250 | |
| 2 | 2015 | 109 | |
| 3 | 2006 | 104 | |
| 4 | 2011 | 84 | |
| 5 | 2020 | 73 | |
| 6 | 2010 | 67 | |
| 7 | 2014 | 57 | |
| 8 | 2019 | 56 | |
| 9 | 2016 | 53 | |
| 10 | 2011 | 32 | |
| 11 | 2017 | 32 | |
| 12 | 2015 | 31 | |
| 13 | 2015 | 26 | |
| 14 | 2018 | 24 | |
| 15 | 2023 | 22 | |
| 16 | 2021 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2012 | 19 | |
| 19 | 2024 | 16 | |
| 20 | 2023 | 16 |
About Lan Wei
Lan Wei is a scholar working on Infectious Diseases, Molecular Biology, Physiology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Viral Infections and Vectors (5 papers), Mesenchymal stem cell research (4 papers), Influenza Virus Research Studies (4 papers), melanin and skin pigmentation (3 papers), Respiratory viral infections research (3 papers), Corneal Surgery and Treatments (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Modeling and Simulation (84 citations), Infectious Diseases (190 citations), Pulmonary and Respiratory Medicine (247 citations), Emergency Medical Services (44 citations) and Epidemiology (196 citations). Lan Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include J.S. Elborn, Michael M. Tunney, Máire Drain, Richard C. Boucher, Matthew C. Wolfgang, Madeleine Ennis, Erich Klem, G.G. Einarsson, Chris R. Cardwell and Wei Wang. Their work appears in journals such as Frontiers in Marine Science, Frontiers in Immunology, Journal of Manufacturing Technology Management, Saudi Journal of Biological Sciences and Medicine.
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.