Pingzhen Guo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Gallbladder and Bile Duct Disorders
Papers in
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- Radiomics and Machine Learning in Medical Imaging 11
- Medical Imaging Techniques and Applications 6
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- Lung Cancer Diagnosis and Treatment 5
- Pleural and Pulmonary Diseases 1
- Co-authors
- Binsheng Zhao (13 shared papers)Lawrence H. Schwartz (12 shared papers)Mark G. Kris (3 shared papers)Chaya S. Moskowitz (3 shared papers)Michelle S. Ginsberg (2 shared papers)Leonard P. James (2 shared papers)Robert A. Lefkowitz (2 shared papers)Gregory J. Riely (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Journal of Thoracic Oncology (2 papers)Journal of Clinical Oncology (1 paper)European Journal of Radiology (1 paper)Cancer Imaging (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Pingzhen Guo
12 papers receiving 917 citations
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 596
- Pulmonary and Respiratory Medicine 569
- Health Informatics 14
- Hepatology 71
- Oncology 233
Countries citing papers authored by Pingzhen Guo
This map shows the geographic impact of Pingzhen Guo'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 Pingzhen Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingzhen Guo more than expected).
Fields of papers citing papers by Pingzhen Guo
This network shows the impact of papers produced by Pingzhen Guo. 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 Pingzhen Guo. The network helps show where Pingzhen Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingzhen Guo, 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 | 2009 | 265 | |
| 2 | 2020 | 128 | |
| 3 | 2011 | 118 | |
| 4 | 2009 | 111 | |
| 5 | 2010 | 82 | |
| 6 | 2013 | 74 | |
| 7 | 2010 | 72 | |
| 8 | 2020 | 27 | |
| 9 | 2012 | 25 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 12 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About Pingzhen Guo
Pingzhen Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Hepatology and Surgery, having authored 13 papers that have together received 931 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Advanced X-ray and CT Imaging (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer Genomics and Diagnostics (1 paper), Advanced Radiotherapy Techniques (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (596 citations), Pulmonary and Respiratory Medicine (569 citations), Health Informatics (14 citations), Hepatology (71 citations) and Oncology (233 citations). Pingzhen Guo has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Binsheng Zhao, Lawrence H. Schwartz, Mark G. Kris, Chaya S. Moskowitz, Michelle S. Ginsberg, Leonard P. James, Robert A. Lefkowitz, Gregory J. Riely, Yilin Qin and Geoffrey R. Oxnard. Their work appears in journals such as Clinical Cancer Research, Journal of Thoracic Oncology, Journal of Clinical Oncology, European Journal of Radiology and Cancer Imaging.
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.