The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
The Functions of MicroRNAs: mRNA Decay and Translational Repression
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Citations
Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429 · cited 1×
“Comparing changes at the mRNA and protein levels of potential miRNA targets by using SILAC (Stable Isotope Labeling using Amino acids in cell Culture) or pulsed SILAC coupled with mass spectrometry after expression or deletion of individual mammalian miRNAs revealed that protein changes generally correlate with mRNA c…”
MethodRegulation of mRNA Translation and Stability by microRNAs
Fabian, M. R., Sonenberg, N., & Filipowicz, W. (2010) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-060308-103103 · Cited by 3,214
Gene silencing by microRNAs: contributions of translational repression and mRNA decay
Huntzinger, E., & Izaurralde, E. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2936 · Cited by 2,339
Towards a molecular understanding of microRNA-mediated gene silencing
Jonas, S., & Izaurralde, E. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3965 · Cited by 1,872
Widespread translational inhibition by plant miRNAs and siRNAs
Brodersen, P., Sakvarelidze-Achard, L., Bruun-Rasmussen, M., Dunoyer, P., Yamamoto, Y. Y., Sieburth, L., & Voinnet, O. (2008) · Science · doi:10.1126/science.1159151 · Cited by 1,477
Cited by
Life of RISC: Formation, action, and degradation of RNA-induced silencing complex
Iwakawa, H.-O., & Tomari, Y. (2022) · Molecular Cell · doi:10.1016/j.molcel.2021.11.026 · Cited by 488
Self-citationNew frontiers in translational control of the cancer genome
Truitt, M. L., & Ruggero, D. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.27 · Cited by 378
Hartmann, G. (2017) · Advances in Immunology · doi:10.1016/bs.ai.2016.11.001 · Cited by 285
microRNA target prediction programs predict many false positives
Pinzón, N., Li, B., Martinez, L., Sergeeva, A., Presumey, J., Apparailly, F., & Seitz, H. (2017) · Genome Research · doi:10.1101/gr.205146.116 · Cited by 273
Lekka, E., & Hall, J. (2018) · FEBS Letters · doi:10.1002/1873-3468.13182 · Cited by 251
Sakai, A., Saitow, F., Maruyama, M., Miyake, N., Miyake, K., Shimada, T., Okada, T., & Suzuki, H. (2017) · Nature Communications · doi:10.1038/ncomms16079 · Cited by 108
Pei, T., Liu, C., Liu, T., Xiao, L., Luo, B., Tan, J., Li, X., Zhou, G., Duan, C., & Huang, W. (2018) · Endocrinology · doi:10.1210/en.2018-00374 · Cited by 73
Freimer, J. W., Hu, T., & Blelloch, R. (2018) · eLife · doi:10.7554/elife.38014 · Cited by 69
Islam, M. A., Sultana, O. F., Bandari, M., Kshirsagar, S., Manna, P. R., & Reddy, P. H. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102459 · Cited by 28
Diagnostic Potential of Exosomal microRNAs in Colorectal Cancer
Dohmen, J., Semaan, A., Kobilay, M., Zaleski, M., Branchi, V., Schlierf, A., Hettwer, K., Uhlig, S., Hartmann, G., Kalff, J. C., et al. (2022) · Diagnostics · doi:10.3390/diagnostics12061413 · Cited by 24
Sano, M., Nakasu, A., Ohtaka, M., & Nakanishi, M. (2019) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2019.10.012 · Cited by 13
Temporal Shifts in MicroRNAs Signify the Inflammatory State of Primary Murine Microglial Cells
Zohar, K., Lezmi, E., Reichert, F., Eliyahu, T., Rotshenker, S., Weinstock, M., & Linial, M. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26125677 · Cited by 1
Metadata
- Authors
- Iwakawa, H.-O., & Tomari, Y.
- Venue
- Trends in Cell Biology
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 25
- Issue
- 11
- Pages
- 651-665
- ISSN
- 0962-8924 (ISSN-L)
- OpenAlex
- W1892182006
- Cited by
- 732
- References
- 19
- FWCI
- 5.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
