Jongsun Jung
Impact in
- Health Informatics top 10%
-
- Computational Drug Discovery Methods
Papers in
-
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 2
- Genetics 10
- Genetic Associations and Epidemiology 3
- Genomics and Rare Diseases 3
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Byung Kook Lee (3 shared papers)Hyun‐Jin Yang (2 shared papers)Seungju Lee (1 shared paper)Jaemin Shin (1 shared paper)Hyejin Park (1 shared paper)Hyung‐Lae Kim (6 shared papers)Joohon Sung (2 shared papers)Han‐Na Kim (2 shared papers)
- Journals
- Scientific Reports (2 papers)BMC Bioinformatics (2 papers)Protein Science (2 papers)Blood (1 paper)Cancer Research (1 paper)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Jongsun Jung
24 papers receiving 713 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 12
- Computational Theory and Mathematics 134
- Molecular Biology 413
- Animal Science and Zoology 55
- Genetics 128
Countries citing papers authored by Jongsun Jung
This map shows the geographic impact of Jongsun Jung'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 Jongsun Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongsun Jung more than expected).
Fields of papers citing papers by Jongsun Jung
This network shows the impact of papers produced by Jongsun Jung. 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 Jongsun Jung. The network helps show where Jongsun Jung may publish in the future.
Co-authors
The 25 scholars most cited alongside Jongsun Jung, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 223 | |
| 2 | 2000 | 97 | |
| 3 | 2017 | 75 | |
| 4 | 2015 | 56 | |
| 5 | 2001 | 55 | |
| 6 | 2006 | 41 | |
| 7 | 2010 | 39 | |
| 8 | 2005 | 24 | |
| 9 | 2013 | 21 | |
| 10 | 2017 | 14 | |
| 11 | 2010 | 12 | |
| 12 | 2000 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2014 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2009 | 8 | |
| 17 | 2007 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2008 | 3 | |
| 20 | 2014 | 3 |
About Jongsun Jung
Jongsun Jung is a scholar working on Molecular Biology, Genetics, Cancer Research, Physiology and Plant Science, having authored 25 papers that have together received 726 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Genomics and Phylogenetic Studies (3 papers), Genetic Associations and Epidemiology (3 papers), Genomics and Rare Diseases (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Acute Myeloid Leukemia Research (2 papers), Protein Structure and Dynamics (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Health Informatics (12 citations), Computational Theory and Mathematics (134 citations), Molecular Biology (413 citations), Animal Science and Zoology (55 citations) and Genetics (128 citations). Jongsun Jung has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Byung Kook Lee, Hyun‐Jin Yang, Seungju Lee, Jaemin Shin, Hyejin Park, Hyung‐Lae Kim, Joohon Sung, Han‐Na Kim, Sunho Lee and Yangrae Cho. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, Protein Science, Blood and Cancer Research.
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.