Lue Ping Zhao
- Statistics and Probability top 0.05%
- Molecular Biology top 5%
- Immunology top 2%
- Epidemiology top 2%
- Genetics top 2%
- Co-authors
- James M. RobinsAndrea RotnitzkyRoss L. PrenticeStuart R. LipsitzShuying Sue LiAlan AderemThomas R. HawnJohn A. Hansen
- Topics
- Genetic Associations and Epidemiology (26 papers)Gene expression and cancer classification (20 papers)Statistical Methods and Bayesian Inference (18 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Genetics
- Partner nations
- United StatesSouth AfricaSweden
In The Last Decade
Lue Ping Zhao
158 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Statistics and Probability 3.3k
- Molecular Biology 1.8k
- Immunology 1.4k
- Epidemiology 1.0k
- Genetics 927
Countries citing papers authored by Lue Ping Zhao
This map shows the geographic impact of Lue Ping Zhao'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 Lue Ping Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lue Ping Zhao more than expected).
Fields of papers citing papers by Lue Ping Zhao
This network shows the impact of papers produced by Lue Ping Zhao. 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 Lue Ping Zhao. The network helps show where Lue Ping Zhao may publish in the future.
Co-authorship network of co-authors of Lue Ping Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Lue Ping Zhao. A scholar is included among the top collaborators of Lue Ping Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lue Ping Zhao. Lue Ping Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 33 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | Network user identification based feature weighting naive Bayesian classification algorithm | 1 |
| 10 | 48 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 56 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 80 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 29 |
About Lue Ping Zhao
Lue Ping Zhao is a scholar working on Statistics and Probability, Genetics and Hematology, having authored 162 papers that have together received 9.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (26 papers), Gene expression and cancer classification (20 papers) and Statistical Methods and Bayesian Inference (18 papers). The work is most often cited by research in Statistics and Probability (3.3k citations), Immunology (1.4k citations) and Otorhinolaryngology (204 citations). Lue Ping Zhao has collaborated with scholars based in United States, South Africa and Sweden. Frequent co-authors include James M. Robins, Andrea Rotnitzky, Ross L. Prentice, Stuart R. Lipsitz, Shuying Sue Li, Alan Aderem, Thomas R. Hawn, John A. Hansen, Wenhong Fan and Marta Janer. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Genetics.
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.