Tae‐Gon Cha
Impact in
- Surfaces, Coatings and Films top 5%
- Surface Modification and Superhydrophobicity
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
Papers in
-
- Advanced biosensing and bioanalysis techniques 14
- RNA Interference and Gene Delivery 5
- DNA and Nucleic Acid Chemistry 4
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- Molecular Junctions and Nanostructures 4
- Co-authors
- Jong Hyun Choi (15 shared papers)Jing Pan (10 shared papers)Haorong Chen (8 shared papers)Chengde Mao (2 shared papers)Feiran Li (5 shared papers)Xiang Li (1 shared paper)Myoung‐Woon Moon (3 shared papers)Ho‐Young Kim (3 shared papers)
- Journals
- ACS Nano (3 papers)Langmuir (2 papers)Analytical Chemistry (1 paper)Advanced Functional Materials (1 paper)Advanced Materials (1 paper)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Tae‐Gon Cha
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 65
- Surfaces, Coatings and Films 132
- Molecular Biology 697
- Biomedical Engineering 408
- Electrochemistry 40
- Ecology 111
Countries citing papers authored by Tae‐Gon Cha
This map shows the geographic impact of Tae‐Gon Cha'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‐Gon Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae‐Gon Cha more than expected).
Fields of papers citing papers by Tae‐Gon Cha
This network shows the impact of papers produced by Tae‐Gon Cha. 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‐Gon Cha. The network helps show where Tae‐Gon Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Tae‐Gon Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 246 | |
| 2 | 2014 | 123 | |
| 3 | 2010 | 119 | |
| 4 | 2015 | 98 | |
| 5 | 2011 | 71 | |
| 6 | 2016 | 65 | |
| 7 | 2011 | 47 | |
| 8 | 2017 | 47 | |
| 9 | 2010 | 37 | |
| 10 | 2016 | 33 | |
| 11 | 2010 | 31 | |
| 12 | 2013 | 22 | |
| 13 | 2016 | 20 | |
| 14 | 2013 | 16 | |
| 15 | 2012 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 2021 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2010 | 4 |
About Tae‐Gon Cha
Tae‐Gon Cha is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Mechanics of Materials, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), RNA Interference and Gene Delivery (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Molecular Junctions and Nanostructures (4 papers), Carbon Nanotubes in Composites (3 papers), Surface Modification and Superhydrophobicity (3 papers), Adhesion, Friction, and Surface Interactions (2 papers) and Plasmonic and Surface Plasmon Research (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (132 citations), Molecular Biology (697 citations), Biomedical Engineering (408 citations), Electrochemistry (40 citations) and Ecology (111 citations). Tae‐Gon Cha has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Jong Hyun Choi, Jing Pan, Haorong Chen, Chengde Mao, Feiran Li, Xiang Li, Myoung‐Woon Moon, Ho‐Young Kim, Kwang‐Ryeol Lee and Yi Jin. Their work appears in journals such as ACS Nano, Langmuir, Analytical Chemistry, Advanced Functional Materials and Advanced Materials.
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.