Jun Cho
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 5%
Papers in
-
- RNA Research and Splicing 5
- CRISPR and Genetic Engineering 4
- RNA modifications and cancer 3
- RNA regulation and disease 2
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- MicroRNA in disease regulation 4
- Co-authors
- V. Narry Kim (4 shared papers)Minju Ha (3 shared papers)Inha Heo (2 shared papers)Chirlmin Joo (2 shared papers)Jinju Han (2 shared papers)Mi-Jeong Yoon (1 shared paper)Young Kook Kim (1 shared paper)Kyu‐Hyeon Yeom (1 shared paper)
- Journals
- Cell (2 papers)Virus Research (1 paper)Planta Medica (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- South KoreaUnited StatesLithuania
In The Last Decade
Jun Cho
20 papers receiving 2.2k citations
Jun Cho's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 1.0k
- Aging 79
- Molecular Biology 1.8k
- Immunology 267
- Developmental Neuroscience 30
Countries citing papers authored by Jun Cho
This map shows the geographic impact of Jun Cho'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 Jun Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cho more than expected).
Fields of papers citing papers by Jun Cho
This network shows the impact of papers produced by Jun Cho. 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 Jun Cho. The network helps show where Jun Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Lin28 Mediates the Terminal Uridylation of let-7 Precursor MicroRNA Hit paper breakdown → | 2008 | 780 |
| 2 | TUT4 in Concert with Lin28 Suppresses MicroRNA Biogenesis through Pre-MicroRNA Uridylation Hit paper breakdown → | 2009 | 646 |
| 3 | 2012 | 180 | |
| 4 | 2018 | 113 | |
| 5 | 2014 | 107 | |
| 6 | 2014 | 96 | |
| 7 | 2015 | 93 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 38 | |
| 10 | 2013 | 28 | |
| 11 | 2018 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2002 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Jun Cho
Jun Cho is a scholar working on Molecular Biology, Cancer Research, Critical Care and Intensive Care Medicine, Cellular and Molecular Neuroscience and Neurology, having authored 20 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), MicroRNA in disease regulation (4 papers), CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (3 papers), Thermal Regulation in Medicine (3 papers), T-cell and B-cell Immunology (2 papers), RNA regulation and disease (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (1.0k citations), Aging (79 citations), Molecular Biology (1.8k citations), Immunology (267 citations) and Developmental Neuroscience (30 citations). Jun Cho has collaborated with scholars based in South Korea, United States and Lithuania. Frequent co-authors include V. Narry Kim, Minju Ha, Inha Heo, Chirlmin Joo, Jinju Han, Mi-Jeong Yoon, Young Kook Kim, Kyu‐Hyeon Yeom, Yoosik Kim and Jung Hyun Lee. Their work appears in journals such as Cell, Virus Research, Planta Medica, Nature Communications and Cell Reports.
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.