Taeho Kwon
Impact in
- Biotechnology top 0.5%
- Transgenic Plants and Applications
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
Papers in
-
- Plant tissue culture and regeneration 23
- Redox biology and oxidative stress 19
- Viral Infectious Diseases and Gene Expression in Insects 19
- CRISPR and Genetic Engineering 9
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- Transgenic Plants and Applications 37
- Co-authors
- Moon‐Sik Yang (30 shared papers)Hu‐Nan Sun (51 shared papers)Dong Kee Jeong (22 shared papers)Yong‐Suk Jang (18 shared papers)Ying‐Hao Han (39 shared papers)Do Luong Huynh (17 shared papers)Nisansala Chandimali (23 shared papers)Yun‐Ji Shin (11 shared papers)
- Journals
- Anticancer Research (8 papers)Protein Expression and Purification (7 papers)Oncotarget (7 papers)Biochemical and Biophysical Research Communications (6 papers)Enzyme and Microbial Technology (5 papers)
- Partner nations
- South KoreaChinaIndia
In The Last Decade
Taeho Kwon
149 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 132
- Biotechnology 860
- Molecular Medicine 205
- Molecular Biology 1.8k
- Immunology 374
- Cancer Research 223
Countries citing papers authored by Taeho Kwon
This map shows the geographic impact of Taeho Kwon'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 Taeho Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taeho Kwon more than expected).
Fields of papers citing papers by Taeho Kwon
This network shows the impact of papers produced by Taeho Kwon. 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 Taeho Kwon. The network helps show where Taeho Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Taeho Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 267 | |
| 2 | 2019 | 155 | |
| 3 | 2003 | 117 | |
| 4 | 2021 | 80 | |
| 5 | 2019 | 78 | |
| 6 | 2000 | 72 | |
| 7 | 2002 | 72 | |
| 8 | 2012 | 59 | |
| 9 | 2008 | 58 | |
| 10 | 2003 | 56 | |
| 11 | 2023 | 55 | |
| 12 | 2023 | 51 | |
| 13 | 2016 | 48 | |
| 14 | 2011 | 43 | |
| 15 | 2000 | 42 | |
| 16 | 2016 | 40 | |
| 17 | 2008 | 40 | |
| 18 | 2013 | 39 | |
| 19 | 2010 | 38 | |
| 20 | 2015 | 38 |
About Taeho Kwon
Taeho Kwon is a scholar working on Molecular Biology, Biotechnology, Plant Science, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 156 papers that have together received 3.1k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (37 papers), Plant tissue culture and regeneration (23 papers), Redox biology and oxidative stress (19 papers), Viral Infectious Diseases and Gene Expression in Insects (19 papers), CRISPR and Genetic Engineering (9 papers), Plasma Applications and Diagnostics (8 papers), Plant Virus Research Studies (8 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Biotechnology (860 citations), Molecular Medicine (205 citations), Molecular Biology (1.8k citations), Immunology (374 citations) and Cancer Research (223 citations). Taeho Kwon has collaborated with scholars based in South Korea, China and India. Frequent co-authors include Moon‐Sik Yang, Hu‐Nan Sun, Dong Kee Jeong, Yong‐Suk Jang, Ying‐Hao Han, Do Luong Huynh, Nisansala Chandimali, Yun‐Ji Shin, Mrinmoy Ghosh and Meeta Gera. Their work appears in journals such as Anticancer Research, Protein Expression and Purification, Oncotarget, Biochemical and Biophysical Research Communications and Enzyme and Microbial Technology.
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.