Pingzhao Hu

8.2k total citations
167 papers, 4.3k citations indexed

About

Pingzhao Hu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Pingzhao Hu has authored 167 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 33 papers in Genetics and 24 papers in Cancer Research. Recurrent topics in Pingzhao Hu's work include Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (25 papers) and Computational Drug Discovery Methods (15 papers). Pingzhao Hu is often cited by papers focused on Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (25 papers) and Computational Drug Discovery Methods (15 papers). Pingzhao Hu collaborates with scholars based in Canada, United States and China. Pingzhao Hu's co-authors include Qian Liu, Claúdia C. dos Santos, Celia M.T. Greenwood, Joseph Beyene, Andrew Emili, Carson K. Leung, Shujun Huang, Zhi Wei, Wei Wang and Gholson J. Lyon and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Pingzhao Hu

165 papers receiving 4.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pingzhao Hu Canada 38 2.2k 687 668 407 370 167 4.3k
Casey S. Greene United States 38 2.8k 1.2× 787 1.1× 457 0.7× 699 1.7× 219 0.6× 144 4.9k
Xiaochen Bo China 31 2.7k 1.2× 360 0.5× 553 0.8× 245 0.6× 196 0.5× 166 4.2k
John V. Pearson Australia 24 1.8k 0.8× 745 1.1× 659 1.0× 566 1.4× 566 1.5× 59 3.7k
Kathleen F. Kerr United States 32 3.1k 1.4× 779 1.1× 419 0.6× 283 0.7× 353 1.0× 113 6.4k
Sune Pletscher-Frankild Denmark 15 4.4k 2.0× 481 0.7× 800 1.2× 264 0.6× 488 1.3× 17 6.1k
Mickaël Guedj France 23 2.2k 1.0× 435 0.6× 413 0.6× 264 0.6× 342 0.9× 54 4.0k
Luciano Milanesi Italy 36 3.0k 1.4× 511 0.7× 449 0.7× 178 0.4× 202 0.5× 243 4.9k
Holger Fröhlich Germany 35 2.2k 1.0× 293 0.4× 472 0.7× 599 1.5× 227 0.6× 180 4.3k
Yuhang Zhang China 36 2.4k 1.1× 205 0.3× 830 1.2× 214 0.5× 376 1.0× 280 4.4k
Ivan G. Costa Germany 39 3.0k 1.3× 327 0.5× 672 1.0× 634 1.6× 328 0.9× 124 4.9k

Countries citing papers authored by Pingzhao Hu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Pingzhao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Pingzhao Hu. A scholar is included among the top collaborators of Pingzhao Hu 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 Pingzhao Hu. Pingzhao Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Hung-Lin, et al.. (2025). Gut colonization of Bacteroides plebeius suppresses colitis-associated colon cancer development. Microbiology Spectrum. 13(2). e0259924–e0259924. 4 indexed citations
2.
Jesus, Vivianne Cruz de, et al.. (2025). Integrative analysis of taste genetics and the dental plaque microbiome in early childhood caries. Cell Reports. 44(9). 116245–116245. 1 indexed citations
3.
Kim, Dongkyu, Junfeng Gao, Reza Noroozi, et al.. (2025). Generative AI for the Design of Molecules: Advances and Challenges. Journal of Chemical Information and Modeling. 65(23). 12668–12690.
4.
Deng, C, et al.. (2025). GraphBAN: An inductive graph-based approach for enhanced prediction of compound-protein interactions. Nature Communications. 16(1). 2541–2541. 4 indexed citations
5.
Schroth, Robert J., et al.. (2024). A cross-cohort analysis of dental plaque microbiome in early childhood caries. iScience. 27(8). 110447–110447. 4 indexed citations
6.
Liu, Qian, et al.. (2024). Conditional generative adversarial network driven radiomic prediction of mutation status based on magnetic resonance imaging of breast cancer. Journal of Translational Medicine. 22(1). 226–226. 8 indexed citations
7.
Liu, Qian, et al.. (2023). Patch-based deep learning models for breast mammographic mass classification. 13–22. 1 indexed citations
8.
Liu, Qian, Shujun Huang, Danielle Desautels, et al.. (2023). Development and validation of a prognostic 15-gene signature for stratifying HER2+/ER+ breast cancer. Computational and Structural Biotechnology Journal. 21. 2940–2949. 6 indexed citations
9.
Leung, Carson K., et al.. (2023). A self-knowledge distillation-driven CNN-LSTM model for predicting disease outcomes using longitudinal microbiome data. Bioinformatics Advances. 3(1). vbad059–vbad059. 8 indexed citations
10.
Walsh, Christopher J., Muskan Gupta, Pamela Plant, et al.. (2022). MicroRNA regulatory networks associated with abnormal muscle repair in survivors of critical illness. Journal of Cachexia Sarcopenia and Muscle. 13(2). 1262–1276. 10 indexed citations
11.
Davis, Rebecca L., et al.. (2022). A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery. PLoS Computational Biology. 18(10). e1010613–e1010613. 18 indexed citations
12.
Liu, Qian, Carson K. Leung, & Pingzhao Hu. (2020). A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images. IEEE Access. 8. 213718–213728. 57 indexed citations
13.
Amatullah, Hajera, et al.. (2015). MiRNA193b-5p Inhibition Attenuates LPS-induced Acute Lung Injury Through Decreased Occludin Degradation. The FASEB Journal. 29. 1 indexed citations
14.
Adams, Jessica R., Jeff C. Liu, Amanda J. Loch, et al.. (2015). Ras Signaling Is a Key Determinant for Metastatic Dissemination and Poor Survival of Luminal Breast Cancer Patients. Cancer Research. 75(22). 4960–4972. 48 indexed citations
15.
Moffatt, Pierre, Francis H. Glorieux, Paul Roschger, et al.. (2013). Metaphyseal Dysplasia with Maxillary Hypoplasia and Brachydactyly Is Caused by a Duplication in RUNX2. The American Journal of Human Genetics. 92(2). 252–258. 25 indexed citations
16.
Ribeiro, Ricardo, Cátia Monteiro, Victoria Catalán, et al.. (2012). Obesity and prostate cancer: gene expression signature of human periprostatic adipose tissue. BMC Medicine. 10(1). 108–108. 74 indexed citations
17.
Smeding, Lonneke, Howard Leong‐Poi, Pingzhao Hu, et al.. (2012). Salutary effect of resveratrol on sepsis-induced myocardial depression*. Critical Care Medicine. 40(6). 1896–1907. 38 indexed citations
18.
Hu, Pingzhao, Xinchen Wang, Jack J. Haitsma, et al.. (2012). Microarray Meta-Analysis Identifies Acute Lung Injury Biomarkers in Donor Lungs That Predict Development of Primary Graft Failure in Recipients. PLoS ONE. 7(10). e45506–e45506. 16 indexed citations
19.
Kabakchiev, Boyko, Dan Turner, Jeffrey S. Hyams, et al.. (2010). Gene Expression Changes Associated with Resistance to Intravenous Corticosteroid Therapy in Children with Severe Ulcerative Colitis. PLoS ONE. 5(9). e13085–e13085. 31 indexed citations
20.
Hu, Pingzhao, Joseph Beyene, & Celia M.T. Greenwood. (2006). Tests for differential gene expression using weights in oligonucleotide microarray experiments. BMC Genomics. 7(1). 33–33. 9 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Casey S. Greene Breakdown of academic impact, for papers by Xiaochen Bo Breakdown of academic impact, for papers by John V. Pearson Breakdown of academic impact, for papers by Kathleen F. Kerr Breakdown of academic impact, for papers by Sune Pletscher-Frankild Breakdown of academic impact, for papers by Mickaël Guedj Breakdown of academic impact, for papers by Luciano Milanesi Breakdown of academic impact, for papers by Holger Fröhlich Breakdown of academic impact, for papers by Yuhang Zhang Breakdown of academic impact, for papers by Ivan G. Costa
Rankless by CCL
2026