Ping Luo
Impact in
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- Cancer Genomics and Diagnostics
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
Papers in
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- Gene expression and cancer classification 12
- Bioinformatics and Genomic Networks 9
- Single-cell and spatial transcriptomics 5
- Machine Learning in Bioinformatics 5
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Fang‐Xiang Wu (11 shared papers)Yulian Ding (2 shared papers)Xiujuan Lei (1 shared paper)Jishou Ruan (1 shared paper)Yuanyuan Li (1 shared paper)Minghan Fu (1 shared paper)Qian Wei (1 shared paper)Bo Liao (2 shared papers)
- Journals
- Academic Radiology (2 papers)BMC Bioinformatics (2 papers)Frontiers in Genetics (2 papers)Neurocomputing (1 paper)Alzheimer s Research & Therapy (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Ping Luo
23 papers receiving 356 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 67
- Molecular Biology 249
- Computational Mathematics 2
- Computational Theory and Mathematics 48
- Health Informatics 4
Countries citing papers authored by Ping Luo
This map shows the geographic impact of Ping Luo'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 Ping Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Luo more than expected).
Fields of papers citing papers by Ping Luo
This network shows the impact of papers produced by Ping Luo. 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 Ping Luo. The network helps show where Ping Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Luo, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2017 | 47 | |
| 3 | 2019 | 45 | |
| 4 | 2023 | 25 | |
| 5 | 2005 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2011 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2006 | 5 | |
| 20 | 2020 | 5 |
About Ping Luo
Ping Luo is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Biophysics and Biomedical Engineering, having authored 24 papers that have together received 363 indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (9 papers), Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (5 papers), Machine Learning in Bioinformatics (5 papers), Cell Image Analysis Techniques (3 papers), Computational Drug Discovery Methods (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Cancer Research (67 citations), Molecular Biology (249 citations), Computational Mathematics (2 citations), Computational Theory and Mathematics (48 citations) and Health Informatics (4 citations). Ping Luo has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Fang‐Xiang Wu, Yulian Ding, Xiujuan Lei, Jishou Ruan, Yuanyuan Li, Minghan Fu, Qian Wei, Bo Liao, Bolin Chen and Fang Dong. Their work appears in journals such as Academic Radiology, BMC Bioinformatics, Frontiers in Genetics, Neurocomputing and Alzheimer s Research & Therapy.
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.