Tae‐Jin Lee

6.2k citations
155 papers · 4.6k indexed · 1 hit paper · h-index 35

Tae‐Jin Lee

151 papers receiving 4.5k citations

Hit Papers

A wet-tolerant adhesive patch inspired by protuberances i...4692017202620202023100200300400

Peers

Tae‐Jin Lee
Comparison fields: 5 of 169
  • Genetics 659
  • Biomaterials 763
  • Surfaces, Coatings and Films 238
  • Biomedical Engineering 1.5k
  • Rehabilitation 178
Replace Qin Shi with:
Qin Shi China
Fan He China
Andreas H. Zisch Switzerland
Li Yang China
Qingsong Ye China
Sabine Neuß Germany
Yan Liu China
Ning Zhang China
Kedong Song China
Yan Li China
Tae‐Jin Lee relative to Qin Shi China Qin Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tae‐Jin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20236
3 202223
4 202213
5 202113
6 20214
7 20215
8 20205
9 20187
10 201818
11 201811
12 201719
13 201493
14 201436
15 20121
16
The Significance of the Lymphatic Micro Vessel Density and Vascular Endothelial Growth Factor- C Expression for Colorectal Cancer
20071
17
Sequence Batch Reactor(SBR) Operation Using Dissolved Oxygen Derivatives
20041
18
A Study of Advanced Zinc Titanate Sorbent for Mid - Temperature Desulfurization
20002
19
Adsorption Equilibria of Freon-113 on Activated Carbons
19944
20
Methanation Kinetics of Carbon Oxides over Supported Ru and Ni Catalysts
19921

About Tae‐Jin Lee

Tae‐Jin Lee is a scholar working on Biomaterials, Genetics and Rehabilitation, having authored 155 papers that have together received 4.6k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (21 papers), Mesenchymal stem cell research (18 papers), Tissue Engineering and Regenerative Medicine (14 papers), Cell death mechanisms and regulation (14 papers), Graphene and Nanomaterials Applications (10 papers), RNA Interference and Gene Delivery (9 papers), 3D Printing in Biomedical Research (8 papers) and Bone Tissue Engineering Materials (8 papers). The work is most often cited by research in Genetics (659 citations), Biomaterials (763 citations) and Surfaces, Coatings and Films (238 citations). Tae‐Jin Lee has collaborated with scholars based in South Korea, United States and Sudan. Frequent co-authors include Suk Ho Bhang, Byung‐Soo Kim, Taeg Kyu Kwon, Jong‐Wook Park, Jung‐Youn Shin, Changhyun Pang, Sangyul Baik, Youngjin Park, Da Wan Kim and Wan‐Geun La. Their work appears in journals such as Journal of Cellular Biochemistry, Tissue Engineering Part A, Korean Journal of Chemical Engineering, Biochemical and Biophysical Research Communications and Biomaterials.

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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