Shuailong Liang

810 citations
14 papers · 370 indexed · 2 hit papers · h-index 10
Topics
Orthopaedic implants and arthroplasty (3 papers)Extracellular vesicles in disease (3 papers)Nanoplatforms for cancer theranostics (3 papers)

In The Last Decade

Shuailong Liang

14 papers receiving 344 citations

Hit Papers

Macrophage-derived biomimetic nanoparticles enhanced SDT ...2024202620252024202410203040

Peers

Shuailong Liang
Comparison fields: 5 of 81
  • Artificial Intelligence 145
  • Biomedical Engineering 102
  • Molecular Biology 79
  • Biomaterials 36
  • Surgery 34
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Sai Li China
Zhenchao Tao China
Chaohui Jin China
Haotian Liao China
Yiwei He China
Masoud Zamani Iran
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Shuailong Liang relative to Sai Li China Sai Li's profile →
Citations per field
00.5×4.3×
Sai Li · 1×
Citations per year

Countries citing papers authored by Shuailong Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shuailong Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuailong Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuailong Liang. A scholar is included among the top collaborators of Shuailong Liang 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 Shuailong Liang. Shuailong Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2
Multifunctional fucoidan-loaded Zn-MOF-encapsulated microneedles for MRSA-infected wound healingbreakdown →
42
3
Macrophage-derived biomimetic nanoparticles enhanced SDT combined with immunotherapy inhibited tumor growth and metastasisbreakdown →
49
4 13
5 24
6 9
7 24
8 1
9 35
10 19
11 59
12 2
13 34
14
Design Challenges and Misconceptions in Neural Sequence Labeling
57

About Shuailong Liang

Shuailong Liang is a scholar working on Aquatic Science, Clinical Biochemistry and Rehabilitation, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (3 papers), Extracellular vesicles in disease (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Artificial Intelligence (145 citations), Biomaterials (36 citations) and Pharmaceutical Science (16 citations). Shuailong Liang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jie Yang, Yue Zhang, Yue Zhang, Tianliang Ma, Long Wang, Sijie Chen, Mingyu Chen, Yilong Wang, Xiaodan Zhu and Cunxiang Wang. Their work appears in journals such as Biomaterials, Journal of Controlled Release and Small.

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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