Pingzhao Hu
- Cancer Research top 2%
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 30
- Gene expression and cancer classification 25
- Epigenetics and DNA Methylation 11
- Health Informatics top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology 13
- Genomic variations and chromosomal abnormalities 9
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- Computational Drug Discovery Methods 15
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- Radiomics and Machine Learning in Medical Imaging 14
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- AI in cancer detection 12
- Co-authors
- Qian LiuClaúdia C. dos SantosCelia M.T. GreenwoodJoseph BeyeneAndrew EmiliCarson K. LeungShujun HuangZhi Wei
- Journals
- BMC Bioinformatics (6 papers)Computational and Structural Biotechnology Journal (5 papers)Scientific Reports (4 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Pingzhao Hu
165 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 171
- Cancer Research 668
- Molecular Biology 2.2k
- Health Informatics 35
- Genetics 687
- Computational Theory and Mathematics 352
Countries citing papers authored by Pingzhao Hu
This map shows the geographic impact of Pingzhao Hu'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 Pingzhao Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingzhao Hu more than expected).
Fields of papers citing papers by Pingzhao Hu
This network shows the impact of papers produced by Pingzhao Hu. 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 Pingzhao Hu. The network helps show where Pingzhao Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pingzhao Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 71 | |
| 14 | 2020 | 57 | |
| 15 | 2015 | 48 | |
| 16 | 2013 | 25 | |
| 17 | 2012 | 16 | |
| 18 | 2012 | 38 | |
| 19 | 2012 | 74 | |
| 20 | 2006 | 9 |
About Pingzhao Hu
Pingzhao Hu is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 167 papers that have together received 4.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (25 papers), Computational Drug Discovery Methods (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Genetic Associations and Epidemiology (13 papers), AI in cancer detection (12 papers), Epigenetics and DNA Methylation (11 papers) and Genomic variations and chromosomal abnormalities (9 papers). The work is most often cited by research in Cancer Research (668 citations), Molecular Biology (2.2k citations) and Health Informatics (35 citations). Pingzhao Hu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Qian Liu, Claúdia C. dos Santos, Celia M.T. Greenwood, Joseph Beyene, Andrew Emili, Carson K. Leung, Shujun Huang, Zhi Wei, Håkon Håkonarson and Wei Wang. Their work appears in journals such as BMC Bioinformatics, Computational and Structural Biotechnology Journal, Scientific Reports, Cancers and Journal of Translational Medicine.
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.