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
-
- Muscle Physiology and Disorders 4
-
- Herpesvirus Infections and Treatments 8
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Kyung Hee Koo (2 shared papers)Hyunjung Baek (8 shared papers)Joseph C. Glorioso (5 shared papers)Justus B. Cohen (5 shared papers)Jaemin Jeong (7 shared papers)William F. Goins (3 shared papers)Kenji Nakano (3 shared papers)Hiroaki Uchida (3 shared papers)
- Journals
- Molecular Therapy (3 papers)Human Gene Therapy (1 paper)Experimental and Molecular Pathology (1 paper)Virology Journal (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Heechung Kwon
20 papers receiving 561 citations
Peers
Comparison fields: 5 of 76
- Hepatology 70
- Genetics 90
- Genetics 194
- Oncology 118
- Epidemiology 142
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 | 110 | |
| 2 | 2012 | 96 | |
| 3 | 2013 | 53 | |
| 4 | 2005 | 43 | |
| 5 | 2018 | 41 | |
| 6 | 2005 | 40 | |
| 7 | 1998 | 30 | |
| 8 | 2010 | 21 | |
| 9 | 2012 | 21 | |
| 10 | 1994 | 20 | |
| 11 | 2018 | 18 | |
| 12 | 2019 | 16 | |
| 13 | 2001 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2012 | 10 | |
| 16 | 2003 | 9 | |
| 17 | 2016 | 5 | |
| 18 | 2018 | 3 | |
| 19 | 2012 | 3 | |
| 20 | 2016 | 3 |
About Heechung Kwon
Heechung Kwon is a scholar working on Molecular Biology, Epidemiology, Genetics, Genetics and Surgery, having authored 21 papers that have together received 571 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Herpesvirus Infections and Treatments (8 papers), Mesenchymal stem cell research (4 papers), Muscle Physiology and Disorders (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cytomegalovirus and herpesvirus research (3 papers), CAR-T cell therapy research (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Hepatology (70 citations), Genetics (90 citations), Genetics (194 citations), Oncology (118 citations) and Epidemiology (142 citations). Heechung Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyung Hee Koo, Hyunjung Baek, Joseph C. Glorioso, Justus B. Cohen, Jaemin Jeong, William F. Goins, Kenji Nakano, Hiroaki Uchida, Izumi Kumagai and Masahide Kuroki. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, Experimental and Molecular Pathology, Virology Journal and Cell Death and Disease.
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.