Mei Ou

856 citations
17 papers · 660 · h-index 12

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

    • RNA Interference and Gene Delivery 7
    • Advanced biosensing and bioanalysis techniques 6
    • Virus-based gene therapy research 4

Mei Ou

16 papers receiving 649 citations

Peers

Mei Ou
Comparison fields: 5 of 60
  • Biomaterials 107
  • Genetics 211
  • Molecular Biology 482
  • Polymers and Plastics 50
  • Cancer Research 45
Replace Ahmed Aied with:
Ahmed Aied Ireland
Nilesh P. Ingle United States
Anitha Ravikrishnan United States
Vanessa Incani Canada
Pyung‐Hwan Kim South Korea
Cheol Am Hong South Korea
Wanxing Cui United States
Víctor Ramos Spain
Jillian W. Andrejecsk United States
Jonathan Yen United States
Mei Ou relative to Ahmed Aied Ireland Ahmed Aied's profile →
Citations per field
00.5×3.8×
Ahmed Aied · 1×
Citations per year

Countries citing papers authored by Mei Ou

Since Specialization
Citations

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

Fields of papers citing papers by Mei Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008163
2 2008144
3 200998
4 200846
5 201531
6 202330
7 201430
8 201023
9 201022
10 200922
11 201120
12 201917
13 20224
14 20254
15 20233
16 20233
17 20250

About Mei Ou

Mei Ou is a scholar working on Molecular Biology, Genetics, Surgery, Electrical and Electronic Engineering and Oncology, having authored 17 papers that have together received 660 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Virus-based gene therapy research (4 papers), Advancements in Battery Materials (3 papers), Cancer Cells and Metastasis (2 papers), Advanced Battery Materials and Technologies (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Biomaterials (107 citations), Genetics (211 citations), Molecular Biology (482 citations), Polymers and Plastics (50 citations) and Cancer Research (45 citations). Mei Ou has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Sung Wan Kim, David A. Bull, Tae‐il Kim, Minhyung Lee, Rongzuo Xu, Sun Hwa Kim, Chien‐Wen Chang, James W. Yockman, Sung Wan Kim and Ji Hoon Jeong. Their work appears in journals such as Biomaterials, Journal of Controlled Release, Bioconjugate Chemistry, Molecular Pharmaceutics and Batteries.

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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