Kaizhen Zhang

884 citations
8 papers · 607 indexed · 1 hit paper · h-index 5
Topics
Tissue Engineering and Regenerative Medicine (2 papers)Micro and Nano Robotics (2 papers)Smart Grid and Power Systems (2 papers)

In The Last Decade

Kaizhen Zhang

8 papers receiving 600 citations

Hit Papers

Reduced Graphene Oxide‐GelMA Hybrid Hydrogels as Scaffold...20162026201920222016100200300400

Peers

Kaizhen Zhang
Comparison fields: 5 of 82
  • Biomedical Engineering 477
  • Biomaterials 212
  • Surgery 136
  • Mechanical Engineering 89
  • Cellular and Molecular Neuroscience 77
Replace Sukyoung Chae with:
Sukyoung Chae United States
Riho Gojo Japan
Kaori Kuribayashi‐Shigetomi Japan
Afsoon Fallahi United States
Banu Akar United States
Mario El Tahchi Lebanon
Abdolrahman Omidinia‐Anarkoli Germany
Louis Cheung United States
Yuewei Chen China
Alessandro Enrico Sweden
Kaizhen Zhang relative to Sukyoung Chae United States Sukyoung Chae's profile →
Citations per field
00.5×1.5×1.8×
Sukyoung Chae · 1×
Citations per year

Countries citing papers authored by Kaizhen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Kaizhen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaizhen Zhang

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 7
2 10
3 1
4 3
5 16
6 160
7 4
8
Reduced Graphene Oxide‐GelMA Hybrid Hydrogels as Scaffolds for Cardiac Tissue Engineeringbreakdown →
406

About Kaizhen Zhang

Kaizhen Zhang is a scholar working on Energy Engineering and Power Technology, Biomaterials and Condensed Matter Physics, having authored 8 papers that have together received 607 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (2 papers), Micro and Nano Robotics (2 papers) and Smart Grid and Power Systems (2 papers). The work is most often cited by research in Biomaterials (212 citations), Molecular Medicine (64 citations) and Biomedical Engineering (477 citations). Kaizhen Zhang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Su Ryon Shin, Kai‐Tak Wan, Mehmet R. Dokmeci, Yu Shrike Zhang, Mohsen Akbari, Mehmet Yüksekkaya, Ali Khademhosseini, Vijayan Manoharan, Mehdi Nikkhah and Louis Cheung. Their work appears in journals such as Advanced Materials, Small and ACS Omega.

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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