Wayne Ngo

22 papers receiving 1.5k citations

Wayne Ngo's Hit Papers

The pathways for nanoparticle transport across tumour endothelium 2025 · 54 citations
540+2+4Years since publication100200300400

Peers

Wayne Ngo
Comparison fields: 5 of 78
  • Biomaterials 746
  • Biomedical Engineering 319
  • Pharmaceutical Science 53
  • Drug Discovery 2
  • Oncology 126
Replace Kuo‐Ching Mei with:
Kuo‐Ching Mei United States
Ziqi Wang China
Jessica Ngai United States
Elisabetta Falvo Italy
Jai Woong Seo United States
Jeremy Rothschild Canada
Yifan Jiang China
Yingjuan June Lu United States
Walter A. Henne United States
Zachary Pengju Lin Canada
Wayne Ngo relative to Kuo‐Ching Mei United States Kuo‐Ching Mei's profile →
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Citations per year

Countries citing papers authored by Wayne Ngo

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Ngo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A framework for designing delivery systems
Hit paper breakdown →
2020461
2 2022202
3
The mechanisms of nanoparticle delivery to solid tumours
Hit paper breakdown →
2024190
4
In vivo human T cell engineering with enveloped delivery vehicles
Hit paper breakdown →
2024177
5 2023138
6 202280
7
The pathways for nanoparticle transport across tumour endothelium
Hit paper breakdown →
202554
8 201849
9 201848
10 202329
11 202529
12 202520
13 202015
14 202315
15 202415
16 20269
17 20258
18 20254
19 20264
20 20251

About Wayne Ngo

Wayne Ngo is a scholar working on Biomaterials, Molecular Biology, Modeling and Simulation, Cell Biology and Immunology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (13 papers), CRISPR and Genetic Engineering (7 papers), Phagocytosis and Immune Regulation (1 paper), CAR-T cell therapy research (1 paper), Virus-based gene therapy research (1 paper), Mathematical Biology Tumor Growth (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Biotin and Related Studies (1 paper). The work is most often cited by research in Biomaterials (746 citations), Biomedical Engineering (319 citations), Pharmaceutical Science (53 citations), Drug Discovery (2 citations) and Oncology (126 citations). Wayne Ngo has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Warren C. W. Chan, Benjamin R. Kingston, Ben Ouyang, Wilson Poon, Stefan M. Mladjenovic, Zachary Pengju Lin, Shrey Sindhwani, Luan N. M. Nguyen, Presley MacMillan and Zahra Sepahi. Their work appears in journals such as Nature Biotechnology, Nature Nanotechnology, Nano Letters, Nature Chemical Biology and Nature.

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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