Yu Lan
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 2%
- HIV/AIDS Research and Interventions
- Viral Infections and Vectors
- HIV/AIDS drug development and treatment
Papers in
- Epidemiology 27
- Influenza Virus Research Studies 12
- Data-Driven Disease Surveillance 8
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- Viral Infections and Vectors 13
- Viral Infections and Outbreaks Research 6
- HIV/AIDS Research and Interventions 5
- Tuberculosis Research and Epidemiology 5
- Co-authors
- Yan Zhao (7 shared papers)Eric Delmelle (7 shared papers)Fujie Zhang (8 shared papers)Alexander Hohl (3 shared papers)Michael R. Desjardins (3 shared papers)Ye Ma (6 shared papers)Decai Zhao (4 shared papers)Jennifer Pan (1 shared paper)
- Journals
- Journal of Virology (4 papers)PLoS ONE (3 papers)International Journal of Molecular Medicine (3 papers)Applied Intelligence (2 papers)China CDC Weekly (2 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Yu Lan
74 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 140
- Virology 253
- Infectious Diseases 738
- Modeling and Simulation 126
- Epidemiology 613
- Orthodontics 43
Countries citing papers authored by Yu Lan
This map shows the geographic impact of Yu Lan'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 Yu Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Lan more than expected).
Fields of papers citing papers by Yu Lan
This network shows the impact of papers produced by Yu Lan. 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 Yu Lan. The network helps show where Yu Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Lan, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 198 | |
| 2 | 2017 | 156 | |
| 3 | 2007 | 146 | |
| 4 | 2005 | 139 | |
| 5 | 2020 | 119 | |
| 6 | 2012 | 90 | |
| 7 | 2008 | 85 | |
| 8 | 2009 | 64 | |
| 9 | 2011 | 62 | |
| 10 | 2015 | 46 | |
| 11 | 2015 | 44 | |
| 12 | 2018 | 40 | |
| 13 | 2010 | 39 | |
| 14 | 2021 | 34 | |
| 15 | 2011 | 33 | |
| 16 | 2013 | 30 | |
| 17 | 2021 | 28 | |
| 18 | 2018 | 27 | |
| 19 | 2008 | 23 | |
| 20 | 2015 | 21 |
About Yu Lan
Yu Lan is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral Infections and Vectors (13 papers), Influenza Virus Research Studies (12 papers), Data-Driven Disease Surveillance (8 papers), Viral Infections and Outbreaks Research (6 papers), HIV/AIDS Research and Interventions (5 papers), Tuberculosis Research and Epidemiology (5 papers), COVID-19 epidemiological studies (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Virology (253 citations), Infectious Diseases (738 citations), Modeling and Simulation (126 citations), Epidemiology (613 citations) and Orthodontics (43 citations). Yu Lan has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Yan Zhao, Eric Delmelle, Fujie Zhang, Alexander Hohl, Michael R. Desjardins, Ye Ma, Decai Zhao, Jennifer Pan, Yi Wen and Zhen F. Fu. Their work appears in journals such as Journal of Virology, PLoS ONE, International Journal of Molecular Medicine, Applied Intelligence 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.