Haijun Wang

2.1k citations
66 papers · 1.7k · h-index 23

Impact in

    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications
    • Nanoplatforms for cancer theranostics
    • Graphene and Nanomaterials Applications

Papers in

    • Nanoplatforms for cancer theranostics 16
    • Graphene and Nanomaterials Applications 4
    • Nanoparticle-Based Drug Delivery 15
    • Electrospun Nanofibers in Biomedical Applications 6

Haijun Wang

64 papers receiving 1.7k citations

Peers

Haijun Wang
Comparison fields: 5 of 139
  • Biomaterials 661
  • Biomedical Engineering 845
  • Fuel Technology 10
  • Molecular Medicine 57
  • Materials Chemistry 452
Replace Peifeng Liu with:
Peifeng Liu China
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Dawei Deng China
Leilei Sun China
Zhiyuan Fan China
Huifang Liu China
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Haijun Wang relative to Peifeng Liu China Peifeng Liu's profile →
Citations per field
00.5×1.5×
Peifeng Liu · 1×
Citations per year

Countries citing papers authored by Haijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019181
2 2019113
3 2019109
4 201890
5 201789
6 201885
7 201580
8 201959
9 201954
10 201752
11 202047
12 201446
13 201845
14 201944
15 201838
16 202035
17 201734
18 202134
19 201734
20 201433

About Haijun Wang

Haijun Wang is a scholar working on Biomedical Engineering, Biomaterials, Materials Chemistry, Molecular Biology and Mechanics of Materials, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (16 papers), Nanoparticle-Based Drug Delivery (15 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Molecular Sensors and Ion Detection (5 papers), Hydrogels: synthesis, properties, applications (4 papers), Graphene and Nanomaterials Applications (4 papers), Advanced Nanomaterials in Catalysis (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Biomaterials (661 citations), Biomedical Engineering (845 citations), Fuel Technology (10 citations), Molecular Medicine (57 citations) and Materials Chemistry (452 citations). Haijun Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junzi Wu, Li‐Min Zhu, Gareth R. Williams, Shiwei Niu, Xiaotian Xie, Heyu Li, David H. Bremner, Qing Fan, Huanling Wu and Frank R. Fronczek. Their work appears in journals such as International Journal of Pharmaceutics, Molecules, ACS Applied Bio Materials, Colloids and Surfaces B Biointerfaces and Nano Letters.

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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