Pingli Sun
Impact in
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
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- Cancer Genomics and Diagnostics
Papers in
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- Lung Cancer Treatments and Mutations 9
- Lung Cancer Diagnosis and Treatment 6
- Co-authors
- Hongwen Gao (20 shared papers)Di Zhao (9 shared papers)Yunwei Niu (7 shared papers)Lanqing Cao (8 shared papers)Sanghoon Jheon (5 shared papers)Hyojin Kim (5 shared papers)Yanxiang Kang (9 shared papers)Zuobing Xiao (6 shared papers)
- Journals
- BMC Cancer (5 papers)Histopathology (2 papers)Human Pathology (2 papers)Carbohydrate Polymers (2 papers)Progress in Organic Coatings (2 papers)
- Partner nations
- ChinaSouth KoreaEthiopia
In The Last Decade
Pingli Sun
44 papers receiving 718 citations
Peers
Comparison fields: 5 of 93
- Pulmonary and Respiratory Medicine 290
- Cancer Research 112
- Biomaterials 96
- Oncology 187
- Molecular Medicine 24
Countries citing papers authored by Pingli Sun
This map shows the geographic impact of Pingli Sun'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 Pingli Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingli Sun more than expected).
Fields of papers citing papers by Pingli Sun
This network shows the impact of papers produced by Pingli Sun. 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 Pingli Sun. The network helps show where Pingli Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingli Sun, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 59 | |
| 2 | 2013 | 53 | |
| 3 | 2014 | 47 | |
| 4 | 2017 | 46 | |
| 5 | 2012 | 46 | |
| 6 | 2022 | 41 | |
| 7 | 2013 | 39 | |
| 8 | 2023 | 36 | |
| 9 | 2013 | 30 | |
| 10 | 2020 | 29 | |
| 11 | 2024 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2012 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2017 | 12 |
About Pingli Sun
Pingli Sun is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Surgery and Biomaterials, having authored 45 papers that have together received 725 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Diagnosis and Treatment (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Polymer Surface Interaction Studies (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers), Microencapsulation and Drying Processes (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (290 citations), Cancer Research (112 citations), Biomaterials (96 citations), Oncology (187 citations) and Molecular Medicine (24 citations). Pingli Sun has collaborated with scholars based in China, South Korea and Ethiopia. Frequent co-authors include Hongwen Gao, Di Zhao, Yunwei Niu, Lanqing Cao, Sanghoon Jheon, Hyojin Kim, Yanxiang Kang, Zuobing Xiao, Meng Jia and Yan Jin. Their work appears in journals such as BMC Cancer, Histopathology, Human Pathology, Carbohydrate Polymers and Progress in Organic Coatings.
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.