Lan Wang
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
Papers in
-
- Statistical Methods and Inference 7
- Co-authors
- Runze Li (1 shared paper)Yichao Wu (1 shared paper)Wei Peng Guo (4 shared papers)Ning Wang (3 shared papers)Lu Wang (2 shared papers)Yan Cui (3 shared papers)Dongmin Li (5 shared papers)Zunyou Wu (2 shared papers)
- Journals
- Journal of the American Statistical Association (4 papers)PLoS ONE (2 papers)BioMed Research International (1 paper)Frontiers in Microbiology (1 paper)Current Opinion in Environmental Science & Health (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Wang
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 151
- Statistics and Probability 269
- Infectious Diseases 421
- Virology 67
- Epidemiology 291
- Internal Medicine 28
Countries citing papers authored by Lan Wang
This map shows the geographic impact of Lan Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wang more than expected).
Fields of papers citing papers by Lan Wang
This network shows the impact of papers produced by Lan Wang. 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 Wang. The network helps show where Lan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wang, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 231 | |
| 2 | 2012 | 217 | |
| 3 | 2007 | 89 | |
| 4 | 2017 | 62 | |
| 5 | 2020 | 56 | |
| 6 | 2023 | 52 | |
| 7 | 2014 | 47 | |
| 8 | 2021 | 46 | |
| 9 | 2017 | 42 | |
| 10 | 2023 | 40 | |
| 11 | 2014 | 39 | |
| 12 | 2011 | 37 | |
| 13 | 2011 | 31 | |
| 14 | 2020 | 25 | |
| 15 | 2021 | 24 | |
| 16 | 2017 | 24 | |
| 17 | 2019 | 20 | |
| 18 | 2014 | 20 | |
| 19 | 2009 | 20 | |
| 20 | 2021 | 20 |
About Lan Wang
Lan Wang is a scholar working on Statistics and Probability, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Hepatology, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Respiratory viral infections research (4 papers), Bayesian Methods and Mixture Models (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Gut microbiota and health (3 papers), Innovation and Knowledge Management (3 papers) and Quality and Supply Management (3 papers). The work is most often cited by research in Statistics and Probability (269 citations), Infectious Diseases (421 citations), Virology (67 citations), Epidemiology (291 citations) and Internal Medicine (28 citations). Lan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Runze Li, Yichao Wu, Wei Peng Guo, Ning Wang, Lu Wang, Yan Cui, Dongmin Li, Zunyou Wu, Xiaoyan Li and Eric P. F. Chow. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE, BioMed Research International, Frontiers in Microbiology and Current Opinion in Environmental Science & Health.
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.