Heechung Kwon
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Genetics top 10%
- Virus-based gene therapy research
- Mesenchymal stem cell research
Papers in
- Genetics 6
- Virus-based gene therapy research 8
- Mesenchymal stem cell research 4
- Neurogenetic and Muscular Disorders Research 2
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- Herpesvirus Infections and Treatments 8
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Hyunjung Baek (8 shared papers)Kyung Hee Koo (2 shared papers)Justus B. Cohen (5 shared papers)Joseph C. Glorioso (5 shared papers)Jaemin Jeong (7 shared papers)William F. Goins (3 shared papers)Kenji Nakano (3 shared papers)Izumi Kumagai (2 shared papers)
- Journals
- Molecular Therapy (3 papers)Current Cancer Drug Targets (1 paper)Molecular Biology Reports (1 paper)Molecules and Cells (1 paper)Experimental and Molecular Pathology (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Heechung Kwon
21 papers receiving 606 citations
Peers
Comparison fields: 5 of 76
- Hepatology 71
- Genetics 82
- Genetics 210
- Oncology 115
- Epidemiology 143
Countries citing papers authored by Heechung Kwon
This map shows the geographic impact of Heechung 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 Heechung Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heechung Kwon more than expected).
Fields of papers citing papers by Heechung Kwon
This network shows the impact of papers produced by Heechung 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 Heechung Kwon. The network helps show where Heechung Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Heechung 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 119 | |
| 2 | 2012 | 102 | |
| 3 | 2013 | 65 | |
| 4 | 2005 | 47 | |
| 5 | 2005 | 43 | |
| 6 | 2018 | 42 | |
| 7 | 1998 | 33 | |
| 8 | 2010 | 24 | |
| 9 | 2018 | 21 | |
| 10 | 2012 | 21 | |
| 11 | 1994 | 21 | |
| 12 | 2019 | 18 | |
| 13 | 2014 | 15 | |
| 14 | 2001 | 14 | |
| 15 | 2012 | 10 | |
| 16 | 2003 | 9 | |
| 17 | 2016 | 6 | |
| 18 | 2016 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2012 | 3 |
About Heechung Kwon
Heechung Kwon is a scholar working on Genetics, Genetics, Epidemiology, Physiology and Molecular Biology, having authored 21 papers that have together received 620 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Herpesvirus Infections and Treatments (8 papers), Muscle Physiology and Disorders (4 papers), Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cytomegalovirus and herpesvirus research (3 papers), CAR-T cell therapy research (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Hepatology (71 citations), Genetics (82 citations), Genetics (210 citations), Oncology (115 citations) and Epidemiology (143 citations). Heechung Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyunjung Baek, Kyung Hee Koo, Justus B. Cohen, Joseph C. Glorioso, Jaemin Jeong, William F. Goins, Kenji Nakano, Izumi Kumagai, Hiroaki Uchida and Masahide Kuroki. Their work appears in journals such as Molecular Therapy, Current Cancer Drug Targets, Molecular Biology Reports, Molecules and Cells and Experimental and Molecular Pathology.
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.