An Sha Zhao

1.4k citations
30 papers · 340 indexed · h-index 10

An Sha Zhao

26 papers receiving 330 citations

Peers

An Sha Zhao
Comparison fields: 5 of 94
  • Surfaces, Coatings and Films 17
  • Immunology 50
  • Rheumatology 30
  • Equine 3
  • Mechanics of Materials 44
Replace Gabriel Magariños with:
Gabriel Magariños Argentina
Yiqing Hu China
Tomoya Hasegawa Japan
Yong Jin China
Megumi Yokoyama Japan
Jacqueline H. Cole United States
Sanghwa Lee South Korea
Shuyuan Ma China
Yong Hoon Cho South Korea
Anna Klukowska Poland
An Sha Zhao relative to Gabriel Magariños Argentina Gabriel Magariños's profile →
Citations per field
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Gabriel Magariños · 1×
Citations per year

Countries citing papers authored by An Sha Zhao

Since Specialization
Citations

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

Fields of papers citing papers by An Sha Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by An Sha Zhao. 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 An Sha Zhao. The network helps show where An Sha Zhao may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 20232
4 202036
5 20201
6 20170
7 201518
8 201111
9 2011105
10 20081
11 20072
12 20074
13 20071
14 200610
15 200615
16 20052
17 200510
18 20053
19 200527
20
[The effects of Xuezhikang on neointimal proliferation and C-myc gene expression after angioplasty in rabbits].
19991

About An Sha Zhao

An Sha Zhao is a scholar working on Surfaces, Coatings and Films, Biomaterials and Nephrology, having authored 30 papers that have together received 340 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (6 papers), Polymer Surface Interaction Studies (6 papers), Metal and Thin Film Mechanics (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Corrosion Behavior and Inhibition (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Semiconductor materials and devices (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (17 citations), Immunology (50 citations) and Rheumatology (30 citations). An Sha Zhao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Alexandre Avraméas, François Legay, Marie‐Anne Valentin, Guojiang Wan, Y.X. Leng, P. Yang, Can‐Cheng Guo, Nan Huang, Jing Jia and Xin Liu. Their work appears in journals such as The Journal of Clinical Pharmacology, Surface and Coatings Technology, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Journal of Applied Polymer Science and Recent Patents on Nanotechnology.

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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