Hong Shen

6.8k citations
134 papers · 5.8k indexed · 1 hit paper · h-index 44
Topics
Bone Tissue Engineering Materials (27 papers)Electrospun Nanofibers in Biomedical Applications (14 papers)RNA Interference and Gene Delivery (13 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Hong Shen

130 papers receiving 5.8k citations

Hit Papers

A Universal Soaking Strategy to Convert Composite Hydroge...20162026201920222016100200300400500

Peers

Hong Shen
Comparison fields: 5 of 141
  • Biomedical Engineering 2.6k
  • Biomaterials 1.9k
  • Molecular Biology 1.0k
  • Materials Chemistry 896
  • Polymers and Plastics 672
Replace Weiyuan John Kao with:
Weiyuan John Kao United States
Ye Zhu China
Vasıf Hasırcı Türkiye
Gregory F. Payne United States
Laura A. Poole‐Warren Australia
Hyukjin Lee South Korea
Liqun Xu China
Yufang Zhu China
Mary B. Chan‐Park Singapore
Yanqin Liang China
Hong Shen relative to Weiyuan John Kao United States Weiyuan John Kao's profile →
Citations per field
00.5×3.1×
Weiyuan John Kao · 1×
Citations per year

Countries citing papers authored by Hong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Hong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Shen. A scholar is included among the top collaborators of Hong Shen 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 Hong Shen. Hong Shen 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
#WorkIndexed citations
1 0
2 0
3 8
4 101
5 22
6 10
7 95
8 108
9 38
10 18
11 14
12 85
13 134
14 56
15 70
16 101
17 164
18 13
19 40
20 41

About Hong Shen

Hong Shen is a scholar working on Biomaterials, Molecular Medicine and Biomedical Engineering, having authored 134 papers that have together received 5.8k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (27 papers), Electrospun Nanofibers in Biomedical Applications (14 papers) and RNA Interference and Gene Delivery (13 papers). The work is most often cited by research in Biomaterials (1.9k citations), Molecular Medicine (628 citations) and Surfaces, Coatings and Films (459 citations). Hong Shen has collaborated with scholars based in China, United States and France. Frequent co-authors include Fei Yang, Decheng Wu, Yanyu Yang, Shenguo Wang, W. Mark Saltzman, Xixue Hu, Xing Wang, Jianzhong Bei, Xing Wang and Kenny K. Tran. Their work appears in journals such as Advanced Materials, Nature Materials and Applied Physics Letters.

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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