Taejoon Kwon
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Molecular Biology top 5%
- Bacterial biofilms and quorum sensing
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 8
- Epigenetics and DNA Methylation 6
- Bacterial biofilms and quorum sensing 4
- Developmental Biology and Gene Regulation 4
- Ubiquitin and proteasome pathways 3
- Genetics 15
- Genetic and Kidney Cyst Diseases 5
- Evolution and Genetic Dynamics 4
- Co-authors
- Edward M. Marcotte (15 shared papers)Marvin Whiteley (6 shared papers)Christine Vogel (5 shared papers)Holly Huse (4 shared papers)Tae Joo Park (21 shared papers)David P. Speert (2 shared papers)James E. A. Zlosnik (2 shared papers)Jeong Kon Seo (3 shared papers)
- Journals
- Scientific Reports (3 papers)eLife (3 papers)Developmental Biology (3 papers)Journal of Proteome Research (3 papers)PLoS ONE (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Taejoon Kwon
67 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 144
- Molecular Medicine 96
- Molecular Biology 1.3k
- Cell Biology 221
- Microbiology 81
- Genetics 348
Countries citing papers authored by Taejoon Kwon
This map shows the geographic impact of Taejoon 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 Taejoon Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taejoon Kwon more than expected).
Fields of papers citing papers by Taejoon Kwon
This network shows the impact of papers produced by Taejoon 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 Taejoon Kwon. The network helps show where Taejoon Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Taejoon 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2010 | 115 | |
| 3 | 2023 | 107 | |
| 4 | 2012 | 106 | |
| 5 | 2010 | 103 | |
| 6 | 2014 | 98 | |
| 7 | 2016 | 98 | |
| 8 | 2017 | 78 | |
| 9 | 2011 | 75 | |
| 10 | 2015 | 73 | |
| 11 | 2020 | 72 | |
| 12 | 2018 | 51 | |
| 13 | 2018 | 48 | |
| 14 | 2016 | 46 | |
| 15 | 2015 | 46 | |
| 16 | 2018 | 45 | |
| 17 | 2019 | 41 | |
| 18 | 2013 | 39 | |
| 19 | 2013 | 38 | |
| 20 | 2020 | 35 |
About Taejoon Kwon
Taejoon Kwon is a scholar working on Molecular Biology, Genetics, Cell Biology, Ecology and Plant Science, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Epigenetics and DNA Methylation (6 papers), Chromosomal and Genetic Variations (5 papers), Genetic and Kidney Cyst Diseases (5 papers), Bacterial biofilms and quorum sensing (4 papers), Evolution and Genetic Dynamics (4 papers), Developmental Biology and Gene Regulation (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Molecular Medicine (96 citations), Molecular Biology (1.3k citations), Cell Biology (221 citations), Microbiology (81 citations) and Genetics (348 citations). Taejoon Kwon has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Edward M. Marcotte, Marvin Whiteley, Christine Vogel, Holly Huse, Tae Joo Park, David P. Speert, James E. A. Zlosnik, Jeong Kon Seo, John B. Wallingford and Pamela C. Ronald. Their work appears in journals such as Scientific Reports, eLife, Developmental Biology, Journal of Proteome Research and PLoS ONE.
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.