Tae-Jun Kwon
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
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- Virus-based gene therapy research
- Congenital Ear and Nasal Anomalies
Papers in
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- Hearing, Cochlea, Tinnitus, Genetics 13
- Genetics 3
- Congenital Ear and Nasal Anomalies 3
- Co-authors
- Un‐Kyung Kim (16 shared papers)Kyu-Yup Lee (11 shared papers)Jeong‐In Baek (5 shared papers)Se‐Kyung Oh (5 shared papers)Byeonghyeon Lee (6 shared papers)Min-A Kim (2 shared papers)Zae Young Ryoo (2 shared papers)Hwa‐Young Kim (2 shared papers)
- Journals
- PLoS ONE (3 papers)Gene (3 papers)Cells Tissues Organs (1 paper)Experimental Brain Research (1 paper)Food & Function (1 paper)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Tae-Jun Kwon
23 papers receiving 347 citations
Peers
Comparison fields: 5 of 48
- Sensory Systems 183
- Genetics 20
- Genetics 54
- Molecular Biology 83
- Neurology 7
Countries citing papers authored by Tae-Jun Kwon
This map shows the geographic impact of Tae-Jun 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 Tae-Jun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae-Jun Kwon more than expected).
Fields of papers citing papers by Tae-Jun Kwon
This network shows the impact of papers produced by Tae-Jun 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 Tae-Jun Kwon. The network helps show where Tae-Jun Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Tae-Jun 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 72 | |
| 2 | 2013 | 51 | |
| 3 | 2009 | 45 | |
| 4 | 2013 | 36 | |
| 5 | 2019 | 26 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 19 | |
| 8 | 2017 | 13 | |
| 9 | 2014 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 8 | |
| 12 | 2012 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2011 | 2 | |
| 20 | 2011 | 1 |
About Tae-Jun Kwon
Tae-Jun Kwon is a scholar working on Sensory Systems, Genetics, Food Science, Cognitive Neuroscience and Clinical Biochemistry, having authored 24 papers that have together received 350 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (13 papers), Congenital Ear and Nasal Anomalies (3 papers), Hearing Loss and Rehabilitation (2 papers), Probiotics and Fermented Foods (2 papers), Drug Solubulity and Delivery Systems (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Acute Kidney Injury Research (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Sensory Systems (183 citations), Genetics (20 citations), Genetics (54 citations), Molecular Biology (83 citations) and Neurology (7 citations). Tae-Jun Kwon has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Un‐Kyung Kim, Kyu-Yup Lee, Jeong‐In Baek, Se‐Kyung Oh, Byeonghyeon Lee, Min-A Kim, Zae Young Ryoo, Hwa‐Young Kim, Jinwoong Bok and Hong-Joon Park. Their work appears in journals such as PLoS ONE, Gene, Cells Tissues Organs, Experimental Brain Research and Food & Function.
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.