Dejun She

1.2k citations
54 papers · 866 · h-index 18

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

Dejun She

48 papers receiving 858 citations

Peers

Dejun She
Comparison fields: 5 of 72
  • Genetics 298
  • Biomaterials 134
  • Radiology, Nuclear Medicine and Imaging 174
  • Biomedical Engineering 248
  • Structural Biology 8
Replace Liejing Lu with:
Liejing Lu China
Daniel W. Fort United States
Jiaji Mao China
P. Stephen Patrick United Kingdom
Revaz Machaidze United States
Alice Busato Italy
Brian Madajewski United States
Margaret F. Bennewitz United States
Pravin Patil United States
Evan D. Bander United States
Dejun She relative to Liejing Lu China Liejing Lu's profile →
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Citations per year

Countries citing papers authored by Dejun She

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dejun She Line = papers co-authored together Dejun She links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018118
2 2017107
3 202057
4 202050
5 201942
6 201941
7 201733
8 202231
9 201824
10 201921
11 202020
12 201620
13 202218
14 202118
15 201918
16 202118
17 202017
18 201817
19 202216
20 201813

About Dejun She

Dejun She is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Epidemiology, having authored 54 papers that have together received 866 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Nanoplatforms for cancer theranostics (7 papers), Nanoparticle-Based Drug Delivery (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Meningioma and schwannoma management (3 papers), Advanced MRI Techniques and Applications (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Dental Radiography and Imaging (2 papers). The work is most often cited by research in Genetics (298 citations), Biomaterials (134 citations), Radiology, Nuclear Medicine and Imaging (174 citations), Biomedical Engineering (248 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, Zebin Xiao and Zhiqing Pang. 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.

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