Shaoping Zhong

1.3k citations
20 papers · 1.0k · h-index 13

Impact in

Papers in

Shaoping Zhong

19 papers receiving 1.0k citations

Peers

Shaoping Zhong
Comparison fields: 5 of 103
  • Biomaterials 573
  • Surfaces, Coatings and Films 90
  • Biomedical Engineering 415
  • Rehabilitation 41
  • Surgery 226
Replace Lida Moradi with:
Lida Moradi Iran
Věra Lisá Czechia
Delara Motlagh United States
Lucy A. Bosworth United Kingdom
Dingying Shan United States
Marwa Tallawi Germany
Elahe Masaeli Iran
Mehmet Berat Taskin Denmark
Susanna Sartori Italy
Ana M. Martins Portugal
Shaoping Zhong relative to Lida Moradi Iran Lida Moradi's profile →
Citations per field
00.5×10×15×21.3×
Lida Moradi · 1×
Citations per year

Countries citing papers authored by Shaoping Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Shaoping Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006265
2 2011181
3 2010124
4 201286
5 201265
6 201356
7 202143
8 200842
9 201533
10 201229
11 202026
12 202026
13 201312
14 201912
15 20247
16 20226
17 20242
18 20252
19 20101
20 20230

About Shaoping Zhong

Shaoping Zhong is a scholar working on Biomaterials, Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Surgery, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (5 papers), Silk-based biomaterials and applications (3 papers), Genetic Neurodegenerative Diseases (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Bone Tissue Engineering Materials (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Biomaterials (573 citations), Surfaces, Coatings and Films (90 citations), Biomedical Engineering (415 citations), Rehabilitation (41 citations) and Surgery (226 citations). Shaoping Zhong has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Chwee Teck Lim, Lin Yue Lanry Yung, Yanzhong Zhang, Roger W. Beuerman, Seeram Ramakrishna, Wee Eong Teo, Xiao Zhu, Bing Ma, Jingwei Xie and Sajini Vadukumpully. Their work appears in journals such as Journal of Biomedical Materials Research Part A, Acta Neuropathologica, Advanced Functional Materials, CNS Neuroscience & Therapeutics and Neurology.

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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