Karin Wang

23 papers receiving 2.0k citations

Hit Papers

High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical models 2024 · 83 citations
8320222026202320244080120

Peers

Karin Wang
Comparison fields: 5 of 134
  • Biomaterials 528
  • Immunology and Allergy 146
  • Cell Biology 301
  • Cancer Research 203
  • Oncology 345
Replace George S. Hussey with:
George S. Hussey United States
Guanqing Ou United States
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Citations per field
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George S. Hussey · 1×
Citations per year

Countries citing papers authored by Karin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Karin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007284
2 2015256
3 2020196
4
Nanoparticle protein corona: from structure and function to therapeutic targeting
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2023147
5 2020137
6
Rational Design of Bisphosphonate Lipid-like Materials for mRNA Delivery to the Bone Microenvironment
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2022124
7 2023109
8 2015102
9
Hydroxycholesterol substitution in ionizable lipid nanoparticles for mRNA delivery to T cells
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202290
10 201686
11
High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical models
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202483
12 201566
13 201560
14 202249
15 201942
16 201842
17 201334
18 202332
19 202414
20 202410

About Karin Wang

Karin Wang is a scholar working on Immunology and Allergy, Cell Biology, Cancer Research, Biomaterials and Immunology, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Cellular Mechanics and Interactions (8 papers), RNA Interference and Gene Delivery (6 papers), Immunotherapy and Immune Responses (4 papers), Protease and Inhibitor Mechanisms (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Biomaterials (528 citations), Immunology and Allergy (146 citations), Cell Biology (301 citations), Cancer Research (203 citations) and Oncology (345 citations). Karin Wang has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Claudia Fischbach, Delphine Gourdon, Michael J. Mitchell, Bo Ri Seo, Sarah J. Shepherd, Xuexiang Han, Yiqian Zhu, Benjamin S. Hsiao, William L. Young and Song Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Cellular and Molecular Bioengineering, Journal of Controlled Release and Advanced Drug Delivery Reviews.

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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