Lan Yao
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- COVID-19 epidemiological studies 11
- Co-authors
- Donna L. Algase (11 shared papers)Elizabeth Beattie (8 shared papers)Xiaohui Hao (13 shared papers)Shenjie Tang (10 shared papers)Sarah Barber (1 shared paper)Yidian Liu (14 shared papers)Qiang Yao (9 shared papers)Zhanjun Zhang (5 shared papers)
- Journals
- The Lancet (4 papers)Parasite (3 papers)The International Journal of Health Planning and Management (3 papers)Environmental Science and Pollution Research (3 papers)Western Journal of Nursing Research (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Yao
131 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 181
- Infectious Diseases 654
- Modeling and Simulation 138
- Emergency Medical Services 138
- Psychiatry and Mental health 252
- Finance 158
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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 119 | |
| 2 | 2009 | 118 | |
| 3 | 2009 | 107 | |
| 4 | 2015 | 104 | |
| 5 | 2020 | 98 | |
| 6 | 2013 | 93 | |
| 7 | 2014 | 73 | |
| 8 | 2001 | 73 | |
| 9 | 2011 | 68 | |
| 10 | 2005 | 60 | |
| 11 | 2019 | 58 | |
| 12 | 2004 | 50 | |
| 13 | 2010 | 49 | |
| 14 | 2020 | 48 | |
| 15 | 2021 | 43 | |
| 16 | 2021 | 40 | |
| 17 | 2006 | 36 | |
| 18 | 2012 | 35 | |
| 19 | 2013 | 33 | |
| 20 | 2007 | 33 |
About Lan Yao
Lan Yao is a scholar working on Microbiology, Modeling and Simulation, Infectious Diseases, Finance and Parasitology, having authored 138 papers that have together received 2.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (19 papers), Healthcare Systems and Reforms (16 papers), COVID-19 epidemiological studies (11 papers), Healthcare Policy and Management (10 papers), Infectious Diseases and Tuberculosis (8 papers), Global Maternal and Child Health (7 papers) and Dementia and Cognitive Impairment Research (7 papers). The work is most often cited by research in Infectious Diseases (654 citations), Modeling and Simulation (138 citations), Emergency Medical Services (138 citations), Psychiatry and Mental health (252 citations) and Finance (158 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, Shenjie Tang, Sarah Barber, Yidian Liu, Qiang Yao, Zhanjun Zhang, Kun Peng and Stelios T. Andreadis. Their work appears in journals such as The Lancet, Parasite, The International Journal of Health Planning and Management, Environmental Science and Pollution Research 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.