Young-Jun Jeon
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- Circular RNAs in diseases 9
- RNA modifications and cancer 5
- RNA Research and Splicing 4
- Machine Learning in Bioinformatics 4
- Glycosylation and Glycoproteins Research 3
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- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 14
- Co-authors
- Carlo M. Croce (14 shared papers)Tae‐Wan Kim (10 shared papers)Hansjüerg Alder (8 shared papers)Tae Jin Lee (9 shared papers)Ri Cui (6 shared papers)Stefano Volinia (4 shared papers)Sung-Suk Suh (2 shared papers)Pascal Pineau (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Oncotarget (3 papers)Cancer Research (3 papers)PLoS ONE (2 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Young-Jun Jeon
39 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 1.0k
- Molecular Biology 1.3k
- Oncology 281
- Immunology 103
- Cell Biology 72
Countries citing papers authored by Young-Jun Jeon
This map shows the geographic impact of Young-Jun Jeon'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 Young-Jun Jeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Jun Jeon more than expected).
Fields of papers citing papers by Young-Jun Jeon
This network shows the impact of papers produced by Young-Jun Jeon. 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 Young-Jun Jeon. The network helps show where Young-Jun Jeon may publish in the future.
Co-authors
The 25 scholars most cited alongside Young-Jun Jeon, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 452 | |
| 2 | 2013 | 138 | |
| 3 | 2015 | 128 | |
| 4 | 2015 | 121 | |
| 5 | 2012 | 114 | |
| 6 | 2013 | 104 | |
| 7 | 2015 | 75 | |
| 8 | 2007 | 70 | |
| 9 | 2015 | 64 | |
| 10 | 2022 | 60 | |
| 11 | 2015 | 59 | |
| 12 | 2018 | 51 | |
| 13 | 2015 | 50 | |
| 14 | 2006 | 43 | |
| 15 | 2022 | 42 | |
| 16 | 2021 | 42 | |
| 17 | 2021 | 32 | |
| 18 | 2023 | 32 | |
| 19 | 2019 | 29 | |
| 20 | 2019 | 22 |
About Young-Jun Jeon
Young-Jun Jeon is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Pharmacology, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (9 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Machine Learning in Bioinformatics (4 papers), Glycosylation and Glycoproteins Research (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (1.3k citations), Oncology (281 citations), Immunology (103 citations) and Cell Biology (72 citations). Young-Jun Jeon has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Carlo M. Croce, Tae‐Wan Kim, Hansjüerg Alder, Tae Jin Lee, Ri Cui, Stefano Volinia, Sung-Suk Suh, Pascal Pineau, Anne Dejean and Jeff Palatini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncotarget, Cancer Research, PLoS ONE and Briefings in Bioinformatics.
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.