Danli Sheng

1.3k citations
24 papers · 1.0k · h-index 13

Impact in

    • Nanoparticle-Based Drug Delivery
    • Nanoplatforms for cancer theranostics
    • Photoacoustic and Ultrasonic Imaging
    • Ultrasound and Hyperthermia Applications

Papers in

Danli Sheng

24 papers receiving 1.0k citations

Peers

Danli Sheng
Comparison fields: 5 of 85
  • Biomaterials 252
  • Biomedical Engineering 804
  • Cancer Research 95
  • Pulmonary and Respiratory Medicine 196
  • Materials Chemistry 243
Replace Yixin Zhong with:
Yixin Zhong China
Yikai Xu China
Bingxia Zhao China
Azhar Z. Abbasi Canada
Yunfei Yi China
Sanpeng Li China
Zijian Zhang China
Yanhong Duo China
Renye Yue China
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Citations per field
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Citations per year

Countries citing papers authored by Danli Sheng

Since Specialization
Citations

This map shows the geographic impact of Danli Sheng'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 Danli Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danli Sheng more than expected).

Fields of papers citing papers by Danli Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danli Sheng. 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 Danli Sheng. The network helps show where Danli Sheng may publish in the future.

Co-authors

The 25 scholars most cited alongside Danli Sheng, 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 Danli Sheng Line = papers co-authored together Danli Sheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018187
2 2018176
3 201997
4 201894
5 201689
6 201781
7 202154
8 201753
9 202042
10 202341
11 202130
12 201819
13 202212
14 201911
15 202310
16 202210
17 20249
18 20248
19 20207
20 20254

About Danli Sheng

Danli Sheng is a scholar working on Biomedical Engineering, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Biomaterials, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (11 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Photodynamic Therapy Research Studies (3 papers), Breast Cancer Treatment Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Ultrasound and Hyperthermia Applications (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Biomaterials (252 citations), Biomedical Engineering (804 citations), Cancer Research (95 citations), Pulmonary and Respiratory Medicine (196 citations) and Materials Chemistry (243 citations). Danli Sheng has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Zhigang Wang, Liming Deng, Haitao Ran, Dong Wang, Pan Li, Hangrong Chen, Ke Yang, Yu Chen, Hengjing Yi and Lan Hao. Their work appears in journals such as Biomaterials, Theranostics, Advanced Science, The EMBO Journal and Proceedings of the National Academy of Sciences.

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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