Le Bao
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
Papers in
- Epidemiology 12
- HIV, Drug Use, Sexual Risk 9
- Data-Driven Disease Surveillance 5
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- HIV/AIDS Research and Interventions 9
- Co-authors
- Adrian E. Raftery (4 shared papers)Arnold Mitnitski (1 shared paper)Kenneth Rockwood (1 shared paper)Xinxin Yu (1 shared paper)Dong Li (1 shared paper)X Kang (1 shared paper)Jeffrey W. Eaton (6 shared papers)Xiao‐Ming Xu (1 shared paper)
- Journals
- AIDS (6 papers)The Annals of Applied Statistics (4 papers)Sexually Transmitted Infections (2 papers)Journal of the American Statistical Association (2 papers)Nutrients (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Le Bao
53 papers receiving 822 citations
Peers
Comparison fields: 5 of 132
- Geriatrics and Gerontology 72
- Infectious Diseases 128
- Genetics 59
- Statistics and Probability 51
- Aging 9
Countries citing papers authored by Le Bao
This map shows the geographic impact of Le Bao'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 Le Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Bao more than expected).
Fields of papers citing papers by Le Bao
This network shows the impact of papers produced by Le Bao. 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 Le Bao. The network helps show where Le Bao may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Bao, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 113 | |
| 2 | 2006 | 97 | |
| 3 | 2006 | 77 | |
| 4 | 2009 | 62 | |
| 5 | 2012 | 45 | |
| 6 | 2006 | 39 | |
| 7 | 2014 | 36 | |
| 8 | 2021 | 30 | |
| 9 | 2012 | 28 | |
| 10 | 2018 | 23 | |
| 11 | 2007 | 22 | |
| 12 | 2019 | 21 | |
| 13 | An Exponential Model for Infinite Rankings | 2010 | 17 |
| 14 | 2017 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2015 | 16 | |
| 18 | 2017 | 13 | |
| 19 | 2014 | 12 | |
| 20 | 2012 | 12 |
About Le Bao
Le Bao is a scholar working on Epidemiology, Infectious Diseases, Artificial Intelligence, Statistics and Probability and Molecular Biology, having authored 57 papers that have together received 859 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (9 papers), HIV/AIDS Research and Interventions (9 papers), Data-Driven Disease Surveillance (5 papers), Bayesian Methods and Mixture Models (5 papers), Census and Population Estimation (4 papers), Genomics and Phylogenetic Studies (4 papers), Genetic Associations and Epidemiology (3 papers) and HIV/AIDS Impact and Responses (3 papers). The work is most often cited by research in Geriatrics and Gerontology (72 citations), Infectious Diseases (128 citations), Genetics (59 citations), Statistics and Probability (51 citations) and Aging (9 citations). Le Bao has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Adrian E. Raftery, Arnold Mitnitski, Kenneth Rockwood, Xinxin Yu, Dong Li, X Kang, Jeffrey W. Eaton, Xiao‐Ming Xu, Wei‐Jin Zang and Tim Brown. Their work appears in journals such as AIDS, The Annals of Applied Statistics, Sexually Transmitted Infections, Journal of the American Statistical Association and Nutrients.
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.