Weiyun Wang

50 papers receiving 1.6k citations

Peers

Weiyun Wang
Comparison fields: 5 of 131
  • Biomaterials 233
  • Biochemistry 78
  • Molecular Medicine 65
  • Complementary and alternative medicine 94
  • Biomedical Engineering 439
Replace Arokia Vijaya Anand Mariadoss with:
Arokia Vijaya Anand Mariadoss South Korea
Heran Li China
Ioana Bâldea Romania
Elena-Alina Moacă Romania
Yalda Shokoohinia Iran
Wenwen Deng China
Javad Baharara Iran
Govindarajan Karthivashan Malaysia
Selvaraj Kunjiappan India
Blassan P. George South Africa
Weiyun Wang relative to Arokia Vijaya Anand Mariadoss South Korea Arokia Vijaya Anand Mariadoss's profile →
Citations per field
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Arokia Vijaya Anand Mariadoss · 1×
Citations per year

Countries citing papers authored by Weiyun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiyun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016143
2 2020135
3 2015118
4 2017109
5 202387
6 202383
7 201677
8 201070
9 202054
10 201649
11 201841
12 201738
13 201531
14 201631
15 202129
16 201928
17 201628
18 201425
19 201924
20 201923

About Weiyun Wang

Weiyun Wang is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Biomaterials and Plant Science, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (9 papers), Nanoparticles: synthesis and applications (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Graphene and Nanomaterials Applications (5 papers), Genomics and Phylogenetic Studies (5 papers), Antimicrobial agents and applications (4 papers), Nanoparticle-Based Drug Delivery (4 papers) and Advanced Nanomaterials in Catalysis (4 papers). The work is most often cited by research in Biomaterials (233 citations), Biochemistry (78 citations), Molecular Medicine (65 citations), Complementary and alternative medicine (94 citations) and Biomedical Engineering (439 citations). Weiyun Wang has collaborated with scholars based in China, Australia and Thailand. Frequent co-authors include Endong Yang, Dongdong Sun, Zhipeng Mou, Dongdong Sun, Nuan Li, Zhiwei Zhao, Chenyang Yin, Weiwei Zhang, Weiwei Zhang and Feng Guo. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Biomaterials Science, Colloids and Surfaces B Biointerfaces, Journal of Biomedical Materials Research Part B Applied Biomaterials and Chemical Engineering Journal.

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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