Aeju Lee

1.8k citations
40 papers · 1.4k · h-index 23

Impact in

    • Nanoparticle-Based Drug Delivery
    • Nanoplatforms for cancer theranostics
    • Biosensors and Analytical Detection
    • Graphene and Nanomaterials Applications

Papers in

Aeju Lee

37 papers receiving 1.4k citations

Peers

Aeju Lee
Comparison fields: 5 of 103
  • Biomaterials 388
  • Biomedical Engineering 562
  • Pharmaceutical Science 74
  • Cancer Research 163
  • Molecular Biology 671
Replace Yingjuan Lu with:
Yingjuan Lu United States
Lifang Cheng China
Yujie Shi China
Shiyan Dong China
Gerard G. M. D’Souza United States
Alexandros Marios Sofias Germany
Meng Zhou China
Cheng‐Liang Peng Taiwan
Amir K. Varkouhi Netherlands
Sol Shin South Korea
Aeju Lee relative to Yingjuan Lu United States Yingjuan Lu's profile →
Citations per field
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Yingjuan Lu · 1×
Citations per year

Countries citing papers authored by Aeju Lee

Since Specialization
Citations

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

Fields of papers citing papers by Aeju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009134
2 2013132
3 2018126
4 2019101
5 202077
6 202060
7 202053
8 201153
9 201749
10 201146
11 201346
12 201845
13 201744
14 201741
15 201140
16 202138
17 201936
18 201628
19 201427
20 201024

About Aeju Lee

Aeju Lee is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Oncology and Biomaterials, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (13 papers), Advanced biosensing and bioanalysis techniques (8 papers), Nanoparticle-Based Drug Delivery (8 papers), RNA Interference and Gene Delivery (7 papers), Protease and Inhibitor Mechanisms (7 papers), Peptidase Inhibition and Analysis (4 papers), Cell Adhesion Molecules Research (4 papers) and Osteoarthritis Treatment and Mechanisms (3 papers). The work is most often cited by research in Biomaterials (388 citations), Biomedical Engineering (562 citations), Pharmaceutical Science (74 citations), Cancer Research (163 citations) and Molecular Biology (671 citations). Aeju Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Min Woo Kim, Yong Il Park, Kwangmeyung Kim, Ick Chan Kwon, Kuiwon Choi, Takuro Niidome, Min Lin, Inchan Youn, Seung‐Hae Kwon and Jung Hoon Choi. Their work appears in journals such as Bioconjugate Chemistry, Theranostics, Pharmaceutics, Nanomaterials and Marine Drugs.

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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