Lan Yao
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Tuberculosis Research and Epidemiology 19
-
- Parasitic Infections and Diagnostics 8
- Co-authors
- Donna L. Algase (11 shared papers)Elizabeth Beattie (8 shared papers)Xiaohui Hao (11 shared papers)Yidian Liu (12 shared papers)Shenjie Tang (8 shared papers)Sarah Louise Barber (1 shared paper)Qiang Yao (7 shared papers)Zhanjun Zhang (5 shared papers)
- Journals
- The Lancet (4 papers)Parasite (3 papers)The Science of The Total Environment (3 papers)The International Journal of Health Planning and Management (3 papers)Western Journal of Nursing Research (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Yao
128 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 175
- Infectious Diseases 635
- Modeling and Simulation 116
- Clinical Psychology 284
- Parasitology 90
- Emergency Medical Services 87
Countries citing papers authored by Lan Yao
This map shows the geographic impact of Lan Yao'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 Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Yao more than expected).
Fields of papers citing papers by Lan Yao
This network shows the impact of papers produced by Lan Yao. 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 Yao. The network helps show where Lan Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Yao, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 151 | |
| 2 | 2015 | 132 | |
| 3 | 2009 | 122 | |
| 4 | 2020 | 112 | |
| 5 | 2009 | 111 | |
| 6 | 2013 | 100 | |
| 7 | 2001 | 81 | |
| 8 | 2014 | 81 | |
| 9 | 2011 | 71 | |
| 10 | 2005 | 69 | |
| 11 | 2019 | 63 | |
| 12 | 2020 | 52 | |
| 13 | 2004 | 52 | |
| 14 | 2010 | 52 | |
| 15 | 2021 | 48 | |
| 16 | 2021 | 42 | |
| 17 | 2007 | 41 | |
| 18 | 2012 | 40 | |
| 19 | 2006 | 38 | |
| 20 | 2020 | 35 |
About Lan Yao
Lan Yao is a scholar working on Infectious Diseases, Parasitology, Finance, Modeling and Simulation and General Health Professions, having authored 131 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (10 papers), Healthcare Systems and Reforms (10 papers), Parasitic Infections and Diagnostics (8 papers), COVID-19 epidemiological studies (7 papers), Dementia and Cognitive Impairment Research (5 papers), Healthcare Policy and Management (5 papers) and Infectious Diseases and Tuberculosis (5 papers). The work is most often cited by research in Infectious Diseases (635 citations), Modeling and Simulation (116 citations), Clinical Psychology (284 citations), Parasitology (90 citations) and Emergency Medical Services (87 citations). Lan Yao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Donna L. Algase, Elizabeth Beattie, Xiaohui Hao, Yidian Liu, Shenjie Tang, Sarah Louise Barber, Qiang Yao, Zhanjun Zhang, Kun Peng and Stelios T. Andreadis. Their work appears in journals such as The Lancet, Parasite, The Science of The Total Environment, The International Journal of Health Planning and Management and Western Journal of Nursing Research.
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.