Kevin S. Zhang

1.0k citations
18 papers · 766 indexed · h-index 10

Kevin S. Zhang

15 papers receiving 752 citations

Peers

Kevin S. Zhang
Comparison fields: 5 of 110
  • Biomedical Engineering 333
  • Materials Chemistry 330
  • General Dentistry 13
  • Biomaterials 74
  • Electrical and Electronic Engineering 261
Replace Amal Kasry with:
Amal Kasry Egypt
Shailabh Kumar United States
Yiming Zhao China
Sami Pekdemir Türkiye
Ilaria Mannelli Italy
Zhiwen Liu China
Lu Gou China
Mehmet E. Solmaz Türkiye
Milad Radiom Switzerland
Laura Sutarlie Singapore
Kevin S. Zhang relative to Amal Kasry Egypt Amal Kasry's profile →
Citations per field
00.5×6.5×
Amal Kasry · 1×
Citations per year

Countries citing papers authored by Kevin S. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Kevin S. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20250
2 20240
3 20240
4 202212
5 20223
6 202110
7 202113
8 202115
9 202193
10 202111
11 20194
12 20194
13 201719
14 20178
15 201537
16 20131
17 2012209
18 2007327

About Kevin S. Zhang

Kevin S. Zhang is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering, Hepatology, Radiation and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 766 indexed citations. Recurring topics across this work include Graphene research and applications (3 papers), Protist diversity and phylogeny (2 papers), Advancements in Battery Materials (2 papers), Biocrusts and Microbial Ecology (2 papers), Carbon Nanotubes in Composites (2 papers), Graphene and Nanomaterials Applications (2 papers), 3D Printing in Biomedical Research (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Biomedical Engineering (333 citations), Materials Chemistry (330 citations), General Dentistry (13 citations), Biomaterials (74 citations) and Electrical and Electronic Engineering (261 citations). Kevin S. Zhang has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include R. Chau, Suman Datta, J. Kavalieros, B.S. Doyle, Sayan Mullick Chowdhury, Balaji Sitharaman, Gaurav Lalwani, Jeong Yun Yang, Sindy K. Y. Tang and Jin Kim Montclare. Their work appears in journals such as Scientific Reports, BMC Biology, Developmental Medicine & Child Neurology, Physical review. E and ACS Applied Materials & Interfaces.

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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