Dejun She
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
Papers in
-
- MRI in cancer diagnosis 11
- Advanced Neuroimaging Techniques and Applications 9
- Advanced MRI Techniques and Applications 7
- Genetics 23
- Glioma Diagnosis and Treatment 23
- Co-authors
- Dairong Cao (38 shared papers)Zhen Xing (26 shared papers)Yu Lin (6 shared papers)Bo Yin (7 shared papers)Yingyan Zheng (8 shared papers)Yiping Lu (6 shared papers)Huihui Huang (2 shared papers)Shaojun Peng (2 shared papers)
- Journals
- Neuroradiology (7 papers)Acta Radiologica (6 papers)American Journal of Neuroradiology (5 papers)European Radiology (3 papers)Journal of Computer Assisted Tomography (3 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Dejun She
48 papers receiving 810 citations
Peers
Comparison fields: 5 of 80
- Genetics 338
- Radiology, Nuclear Medicine and Imaging 313
- Biomaterials 131
- Neurology 115
- Structural Biology 8
Countries citing papers authored by Dejun She
This map shows the geographic impact of Dejun She'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 Dejun She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun She more than expected).
Fields of papers citing papers by Dejun She
This network shows the impact of papers produced by Dejun She. 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 Dejun She. The network helps show where Dejun She may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun She, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2017 | 102 | |
| 3 | 2020 | 55 | |
| 4 | 2020 | 50 | |
| 5 | 2019 | 39 | |
| 6 | 2019 | 38 | |
| 7 | 2017 | 31 | |
| 8 | 2022 | 28 | |
| 9 | 2018 | 24 | |
| 10 | 2019 | 21 | |
| 11 | 2016 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2020 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2018 | 13 |
About Dejun She
Dejun She is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Neurology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 817 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), MRI in cancer diagnosis (11 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Meningioma and schwannoma management (8 papers), Nanoplatforms for cancer theranostics (7 papers), Advanced MRI Techniques and Applications (7 papers), Vascular Malformations Diagnosis and Treatment (6 papers) and Nanoparticle-Based Drug Delivery (4 papers). The work is most often cited by research in Genetics (338 citations), Radiology, Nuclear Medicine and Imaging (313 citations), Biomaterials (131 citations), Neurology (115 citations) and Structural Biology (8 citations). Dejun She has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Dairong Cao, Zhen Xing, Yu Lin, Bo Yin, Yingyan Zheng, Yiping Lu, Huihui Huang, Shaojun Peng, Zhiqing Pang and Daoying Geng. Their work appears in journals such as Neuroradiology, Acta Radiologica, American Journal of Neuroradiology, European Radiology and Journal of Computer Assisted Tomography.
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.