Dongling Pei
Impact in
-
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
- Genetics 7
- Glioma Diagnosis and Treatment 7
-
- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 2
- Advanced Neuroimaging Techniques and Applications 1
- Co-authors
- Yu Guo (6 shared papers)Zhenyu Zhang (6 shared papers)Jing Yan (6 shared papers)Xianzhi Liu (5 shared papers)Jingliang Cheng (5 shared papers)Wenchao Duan (6 shared papers)Zhicheng Li (2 shared papers)Xiangxiang Wang (2 shared papers)
- Journals
- CNS Neuroscience & Therapeutics (2 papers)Frontiers in Oncology (1 paper)Journal of Translational Medicine (1 paper)Frontiers in Immunology (1 paper)Cancer Science (1 paper)
- Partner nations
- China
In The Last Decade
Dongling Pei
8 papers receiving 73 citations
Peers
Comparison fields: 5 of 28
- Genetics 51
- Radiology, Nuclear Medicine and Imaging 55
- Structural Biology 2
- Neurology 11
- Health Informatics 1
Countries citing papers authored by Dongling Pei
This map shows the geographic impact of Dongling Pei'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 Dongling Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongling Pei more than expected).
Fields of papers citing papers by Dongling Pei
This network shows the impact of papers produced by Dongling Pei. 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 Dongling Pei. The network helps show where Dongling Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongling Pei, 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 | 2022 | 23 | |
| 2 | 2021 | 19 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2019 | 0 |
About Dongling Pei
Dongling Pei is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Structural Biology, having authored 9 papers that have together received 76 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Ferroptosis and cancer prognosis (3 papers), MRI in cancer diagnosis (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), RNA Research and Splicing (1 paper) and Advanced Electron Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Genetics (51 citations), Radiology, Nuclear Medicine and Imaging (55 citations), Structural Biology (2 citations), Neurology (11 citations) and Health Informatics (1 citation). Dongling Pei has collaborated with scholars based in China. Frequent co-authors include Yu Guo, Zhenyu Zhang, Jing Yan, Xianzhi Liu, Jingliang Cheng, Wenchao Duan, Zhicheng Li, Xiangxiang Wang, Chen Sun and Zilong Wang. Their work appears in journals such as CNS Neuroscience & Therapeutics, Frontiers in Oncology, Journal of Translational Medicine, Frontiers in Immunology and Cancer Science.
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.