| Predicting effective microRNA target sites in mammalian mRNAs V Agarwal, GW Bell, JW Nam, DP Bartel elife 4, e05005, 2015 | 7162 | 2015 |
| Molecular basis for the recognition of primary microRNAs by the Drosha-DGCR8 complex J Han, Y Lee, KH Yeom, JW Nam, I Heo, JK Rhee, SY Sohn, Y Cho, ... cell 125 (5), 887-901, 2006 | 2236 | 2006 |
| Genomics of microRNA VN Kim, JW Nam TRENDS in Genetics 22 (3), 165-173, 2006 | 1327 | 2006 |
| miR-29 miRNAs activate p53 by targeting p85α and CDC42 SY Park, JH Lee, M Ha, JW Nam, VN Kim Nature structural & molecular biology 16 (1), 23-29, 2009 | 792 | 2009 |
| Expanding the microRNA targeting code: functional sites with centered pairing C Shin, JW Nam, KKH Farh, HR Chiang, A Shkumatava, DP Bartel Molecular cell 38 (6), 789-802, 2010 | 773 | 2010 |
| In vivo high-throughput profiling of CRISPR–Cpf1 activity HK Kim, M Song, J Lee, AV Menon, S Jung, YM Kang, JW Choi, E Woo, ... Nature methods 14 (2), 153-159, 2017 | 399 | 2017 |
| Transcriptome analysis reveals nonfoamy rather than foamy plaque macrophages are proinflammatory in atherosclerotic murine models K Kim, D Shim, JS Lee, K Zaitsev, JW Williams, KW Kim, MY Jang, ... Circulation research 123 (10), 1127-1142, 2018 | 396 | 2018 |
| Global analyses of the effect of different cellular contexts on microRNA targeting JW Nam, OS Rissland, D Koppstein, C Abreu-Goodger, CH Jan, ... Molecular cell 53 (6), 1031-1043, 2014 | 383 | 2014 |
| Conserved MicroRNA miR-8/miR-200 and its target USH/FOG2 control growth by regulating PI3K S Hyun, JH Lee, H Jin, JW Nam, B Namkoong, G Lee, J Chung, VN Kim Cell 139 (6), 1096-1108, 2009 | 353 | 2009 |
| The present and future of de novo whole-genome assembly J Sohn, JW Nam Briefings in bioinformatics 19 (1), 23-40, 2018 | 327 | 2018 |
| Human microRNA prediction through a probabilistic co-learning model of sequence and structure JW Nam, KR Shin, J Han, Y Lee, VN Kim, BT Zhang Nucleic acids research 33 (11), 3570-3581, 2005 | 307 | 2005 |
| miTarget: microRNA target gene prediction using a support vector machine SK Kim, JW Nam, JK Rhee, WJ Lee, BT Zhang BMC bioinformatics 7, 1-12, 2006 | 293 | 2006 |
| The small peptide world in long noncoding RNAs SW Choi, HW Kim, JW Nam Briefings in bioinformatics 20 (5), 1853-1864, 2019 | 258 | 2019 |
| Long noncoding RNAs in C. elegans JW Nam, DP Bartel Genome research 22 (12), 2529-2540, 2012 | 257 | 2012 |
| Incredible RNA: dual functions of coding and noncoding JW Nam, SW Choi, BH You Molecules and cells 39 (5), 367-374, 2016 | 196 | 2016 |
| Discovery of microRNA–mRNA modules via population-based probabilistic learning JG Joung, KB Hwang, JW Nam, SJ Kim, BT Zhang Bioinformatics 23 (9), 1141-1147, 2007 | 177 | 2007 |
| A single-cell survey of Drosophila blood SG Tattikota, B Cho, Y Liu, Y Hu, V Barrera, MJ Steinbaugh, SH Yoon, ... Elife 9, e54818, 2020 | 164 | 2020 |
| Tumor immune microenvironment lncRNAs EG Park, SJ Pyo, Y Cui, SH Yoon, JW Nam Briefings in bioinformatics 23 (1), bbab504, 2022 | 152 | 2022 |
| The long noncoding RNA LUCAT1 promotes tumorigenesis by controlling ubiquitination and stability of DNA methyltransferase 1 in esophageal squamous cell carcinoma JH Yoon, BH You, CH Park, YJ Kim, JW Nam, SK Lee Cancer letters 417, 47-57, 2018 | 138 | 2018 |
| Single-cell transcriptome maps of myeloid blood cell lineages in Drosophila B Cho, SH Yoon, D Lee, F Koranteng, SG Tattikota, N Cha, M Shin, H Do, ... Nature Communications 11 (1), 4483, 2020 | 136 | 2020 |
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National UniversityVerified email at bi.snu.ac.kr
