Dan Shao

15.8k total citations · 6 hit papers
283 papers, 12.9k citations indexed

About

Dan Shao is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Dan Shao has authored 283 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 79 papers in Biomedical Engineering and 59 papers in Materials Chemistry. Recurrent topics in Dan Shao's work include Nanoplatforms for cancer theranostics (54 papers), Nanoparticle-Based Drug Delivery (32 papers) and Advanced Nanomaterials in Catalysis (24 papers). Dan Shao is often cited by papers focused on Nanoplatforms for cancer theranostics (54 papers), Nanoparticle-Based Drug Delivery (32 papers) and Advanced Nanomaterials in Catalysis (24 papers). Dan Shao collaborates with scholars based in China, United States and Macao. Dan Shao's co-authors include Mingqiang Li, Junichi Sadoshima, Kam W. Leong, Wen‐Fei Dong, Hanze Hu, Li Chen, Xiao Zheng, Peiyong Zhai, Zhimin Chang and Rong Tian and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Dan Shao

267 papers receiving 12.8k citations

Hit Papers

Design of therapeutic biomaterials to control inflammation 2022 2026 2023 2024 2022 2022 2022 2023 2022 100 200 300

Peers

Dan Shao
Comparison fields: 5 of 166
  • Molecular Biology 4.2k
  • Biomedical Engineering 3.7k
  • Materials Chemistry 3.0k
  • Biomaterials 2.1k
  • Electrical and Electronic Engineering 1.2k
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Citations per field, relative to Dan Shao
Dan Shao · 1×
Citations per year, relative to Dan Shao
Dan Shao · 1×

Countries citing papers authored by Dan Shao

Since Specialization
Citations

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

Fields of papers citing papers by Dan Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Shao. A scholar is included among the top collaborators of Dan Shao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Shao. Dan Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 8
3
Bioactive mesoporous silica nanoparticle-functionalized titanium implants with controllable antimicrobial peptide release potentiate the regulation of inflammation and osseointegration breakdown →
46
4 21
5 4
6 0
7 13
8 0
9 3
10 2
11 27
12 21
13 1
14 16
15 32
16 14
17 142
18 47
19 57
20 325

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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