Taek Lee

4.6k citations
157 papers · 3.8k · h-index 35

Impact in

Papers in

Taek Lee

150 papers receiving 3.7k citations

Peers

Taek Lee
Comparison fields: 5 of 131
  • Electrochemistry 384
  • Bioengineering 262
  • Biomedical Engineering 1.6k
  • Molecular Biology 2.1k
  • Biomaterials 328
Replace Changqing Yi with:
Changqing Yi China
Byung‐Keun Oh South Korea
Yufang Hu China
Reza Saber Iran
Pawan Jolly United Kingdom
Md. Azahar Ali India
Wing Cheung Mak Sweden
Yang Song United States
Aleksandr Simonian United States
Kwangnak Koh South Korea
Taek Lee relative to Changqing Yi China Changqing Yi's profile →
Citations per field
00.5×1.5×
Changqing Yi · 1×
Citations per year

Countries citing papers authored by Taek Lee

Since Specialization
Citations

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

Fields of papers citing papers by Taek Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016119
2 2020111
3 2015110
4 2020103
5 201999
6 200997
7 201997
8 202090
9 202388
10 202086
11 201883
12 201971
13 201971
14 201970
15 201570
16 201366
17 201166
18 201966
19 202262
20 201860

About Taek Lee

Taek Lee is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 157 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (78 papers), Molecular Junctions and Nanostructures (27 papers), Electrochemical sensors and biosensors (24 papers), Biosensors and Analytical Detection (17 papers), Neuroscience and Neural Engineering (15 papers), Electrochemical Analysis and Applications (14 papers), Analytical Chemistry and Sensors (13 papers) and Enzyme Catalysis and Immobilization (11 papers). The work is most often cited by research in Electrochemistry (384 citations), Bioengineering (262 citations), Biomedical Engineering (1.6k citations), Molecular Biology (2.1k citations) and Biomaterials (328 citations). Taek Lee has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Jeong‐Woo Choi, Junhong Min, Jinho Yoon, Chulhwan Park, Ajay Kumar Yagati, Mohsen Mohammadniaei, Yeon‐Ju Lee, Minkyu Shin, Min‐Ho Lee and Hye Kyu Choi. Their work appears in journals such as Biosensors and Bioelectronics, Journal of Nanoscience and Nanotechnology, Materials, Colloids and Surfaces B Biointerfaces and Sensors and Actuators B Chemical.

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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