Jin‐Wu Nam
Impact in
- Cancer Research top 0.05%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- Extracellular vesicles in disease
Papers in
-
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 16
-
- RNA Research and Splicing 17
- RNA modifications and cancer 12
- RNA and protein synthesis mechanisms 10
- RNA Interference and Gene Delivery 7
- Circular RNAs in diseases 7
- Genomics and Phylogenetic Studies 5
- Co-authors
- David P. BartelVikram AgarwalGeorge W. BellV. Narry KimByoung-Tak ZhangJe‐Keun RheeSun Young SohnYoontae Lee
- Journals
- Briefings in Bioinformatics (5 papers)eLife (4 papers)Nature Communications (3 papers)Experimental & Molecular Medicine (3 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Jin‐Wu Nam
53 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cancer Research 7.6k
- Molecular Biology 9.0k
- Aging 111
- Immunology 974
- Developmental Neuroscience 90
Countries citing papers authored by Jin‐Wu Nam
This map shows the geographic impact of Jin‐Wu Nam'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 Jin‐Wu Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Wu Nam more than expected).
Fields of papers citing papers by Jin‐Wu Nam
This network shows the impact of papers produced by Jin‐Wu Nam. 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 Jin‐Wu Nam. The network helps show where Jin‐Wu Nam may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐Wu Nam, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 55 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 125 | |
| 10 | 2020 | 93 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 25 | |
| 13 | 2019 | 23 | |
| 14 | 2018 | 32 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 110 | |
| 17 | Predicting effective microRNA target sites in mammalian mRNAs Hit paper breakdown → | 2015 | 5523 |
| 18 | Expanding the MicroRNA Targeting Code: Functional Sites with Centered Pairing | 2010 | 3 |
| 19 | 2010 | 471 | |
| 20 | miR-29 miRNAs activate p53 by targeting p85α and CDC42 Hit paper breakdown → | 2008 | 522 |
About Jin‐Wu Nam
Jin‐Wu Nam is a scholar working on Cancer Research, Molecular Biology, Equine, Immunology and Endocrinology, having authored 58 papers that have together received 11.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (17 papers), RNA Research and Splicing (17 papers), Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (10 papers), RNA Interference and Gene Delivery (7 papers), Circular RNAs in diseases (7 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Cancer Research (7.6k citations), Molecular Biology (9.0k citations), Aging (111 citations), Immunology (974 citations) and Developmental Neuroscience (90 citations). Jin‐Wu Nam has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include David P. Bartel, Vikram Agarwal, George W. Bell, V. Narry Kim, Byoung-Tak Zhang, Je‐Keun Rhee, Sun Young Sohn, Yoontae Lee, Jinju Han and Inha Heo. Their work appears in journals such as Briefings in Bioinformatics, eLife, Nature Communications, Experimental & Molecular Medicine and Scientific 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.