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 8
- Co-authors
- Adrian E. Raftery (4 shared papers)Kenneth Rockwood (1 shared paper)Arnold Mitnitski (1 shared paper)Jeffrey W. Eaton (6 shared papers)Tim Brown (4 shared papers)Xiao‐Ming Xu (1 shared paper)Eric P. Grimit (1 shared paper)Tilmann Gneiting (1 shared paper)
- Journals
- AIDS (6 papers)The Annals of Applied Statistics (4 papers)Nutrients (2 papers)Sexually Transmitted Infections (2 papers)Annals of Epidemiology (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Le Bao
52 papers receiving 792 citations
Peers
Comparison fields: 5 of 130
- Geriatrics and Gerontology 69
- Infectious Diseases 125
- Statistics and Probability 50
- Genetics 53
- 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 109 | |
| 2 | 2006 | 95 | |
| 3 | 2006 | 71 | |
| 4 | 2009 | 61 | |
| 5 | 2006 | 37 | |
| 6 | 2014 | 36 | |
| 7 | 2021 | 30 | |
| 8 | 2012 | 27 | |
| 9 | 2018 | 22 | |
| 10 | 2012 | 21 | |
| 11 | 2007 | 21 | |
| 12 | 2019 | 21 | |
| 13 | 2017 | 17 | |
| 14 | An Exponential Model for Infinite Rankings | 2010 | 16 |
| 15 | 2021 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2015 | 16 | |
| 18 | 2017 | 13 | |
| 19 | 2014 | 12 | |
| 20 | 2008 | 12 |
About Le Bao
Le Bao is a scholar working on Epidemiology, Infectious Diseases, Artificial Intelligence, Statistics and Probability and Molecular Biology, having authored 56 papers that have together received 809 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (9 papers), HIV/AIDS Research and Interventions (8 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 Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Geriatrics and Gerontology (69 citations), Infectious Diseases (125 citations), Statistics and Probability (50 citations), Genetics (53 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, Kenneth Rockwood, Arnold Mitnitski, Jeffrey W. Eaton, Tim Brown, Xiao‐Ming Xu, Eric P. Grimit, Tilmann Gneiting, X Kang and Peter Guttorp. Their work appears in journals such as AIDS, The Annals of Applied Statistics, Nutrients, Sexually Transmitted Infections and Annals of Epidemiology.
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.