On the public citation graph

https://doi.org/10.2139/ssrn.4671409

0 signed · 41 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471250953.bi1114s51openalex-extracted
Mapping RNA‐seq Reads with STAR
inferredcites →https://doi.org/10.1002/hep.29683openalex-extracted
RNA N6‐methyladenosine methyltransferase‐like 3 promotes liver cancer progression through YTHDF2‐dependent posttranscriptional silencing of SOCS2
inferredcites →https://doi.org/10.1016/j.cell.2012.05.003openalex-extracted
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
inferredcites →https://doi.org/10.1016/j.cell.2013.10.026openalex-extracted
RNA-Methylation-Dependent RNA Processing Controls the Speed of the Circadian Clock
inferredcites →https://doi.org/10.1016/j.celrep.2014.05.048openalex-extracted
Perturbation of m6A Writers Reveals Two Distinct Classes of mRNA Methylation at Internal and 5′ Sites
inferredcites →https://doi.org/10.1016/j.csbj.2020.06.010openalex-extracted
Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics
inferredcites →https://doi.org/10.1016/j.csbj.2021.05.030openalex-extracted
Recent advances in functional annotation and prediction of the epitranscriptome
inferredcites →https://doi.org/10.1016/j.molcel.2012.10.015openalex-extracted
ALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility
inferredcites →https://doi.org/10.1016/j.molcel.2019.04.025openalex-extracted
Where, When, and How: Context-Dependent Functions of RNA Methylation Writers, Readers, and Erasers
inferredcites →https://doi.org/10.1016/j.molcel.2019.11.007openalex-extracted
Altered m6A Modification of Specific Cellular Transcripts Affects Flaviviridae Infection
inferredcites →https://doi.org/10.1016/j.neuron.2017.12.036openalex-extracted
Epitranscriptomic m6A Regulation of Axon Regeneration in the Adult Mammalian Nervous System
inferredcites →https://doi.org/10.1016/j.stem.2014.09.019openalex-extracted
m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells
inferredcites →https://doi.org/10.1016/j.stem.2017.11.016openalex-extracted
METTL14 Inhibits Hematopoietic Stem/Progenitor Differentiation and Promotes Leukemogenesis via mRNA m6A Modification
inferredcites →https://doi.org/10.1016/j.ymeth.2022.03.008openalex-extracted
m6Aexpress-Reader: Prediction of m6A regulated expression genes by integrating m6A sites and reader binding information in specific- context
inferredcites →https://doi.org/10.1016/j.ymeth.2022.03.015openalex-extracted
Guitar2: An improved version of the Guitar for sketching the transcriptomic view of RNA-related biological features
inferredcites →https://doi.org/10.1038/nature12730openalex-extracted
N6-methyladenosine-dependent regulation of messenger RNA stability
inferredcites →https://doi.org/10.1038/nature20568openalex-extracted
m6A modulates neuronal functions and sex determination in Drosophila
inferredcites →https://doi.org/10.1038/nchembio.687openalex-extracted
N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO
inferredcites →https://doi.org/10.1038/ni1568openalex-extracted
The proteolytic activity of the paracaspase MALT1 is key in T cell activation
inferredcites →https://doi.org/10.1038/nmeth.3582openalex-extracted
WASP: allele-specific software for robust molecular quantitative trait locus discovery
inferredcites →https://doi.org/10.1038/s41419-020-03143-zopenalex-extracted
The role of m6A modification in physiology and disease
inferredcites →https://doi.org/10.1038/s41419-022-04681-4openalex-extracted
Global profiling reveals common and distinct N6-methyladenosine (m6A) regulation of innate immune responses during bacterial and viral infections
inferredcites →https://doi.org/10.1038/s41556-018-0045-zopenalex-extracted
Recognition of RNA N6-methyladenosine by IGF2BP proteins enhances mRNA stability and translation
inferredcites →https://doi.org/10.1038/s41588-020-0644-zopenalex-extracted
Genetic analyses support the contribution of mRNA N6-methyladenosine (m6A) modification to human disease heritability
inferredcites →https://doi.org/10.1038/sj.onc.1206126openalex-extracted
An unexpected role for FosB in activation-induced cell death of T cells
inferredcites →https://doi.org/10.1093/bioinformatics/btab181openalex-extracted
Detecting m6A methylation regions from Methylated RNA Immunoprecipitation Sequencing
inferredcites →https://doi.org/10.1093/bioinformatics/btac025openalex-extracted
MeRIPseqPipe: an integrated analysis pipeline for MeRIP-seq data based on Nextflow
inferredcites →https://doi.org/10.1093/bioinformatics/btac601openalex-extracted
Differential RNA methylation analysis for MeRIP-seq data under general experimental design
inferredcites →https://doi.org/10.1093/bioinformatics/btt171openalex-extracted
Exome-based analysis for RNA epigenome sequencing data
inferredcites →https://doi.org/10.1093/bioinformatics/btz316openalex-extracted
FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes
inferredcites →https://doi.org/10.1093/nar/gkw104openalex-extracted
SRAMP: prediction of mammalian N 6 -methyladenosine (m 6 A) sites based on sequence-derived features
inferredcites →https://doi.org/10.1093/nar/gkz074openalex-extracted
WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach
inferredcites →https://doi.org/10.1093/nar/gkz114openalex-extracted
The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads
inferredcites →https://doi.org/10.1109/tcbb.2022.3192572openalex-extracted
DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes
inferredcites →https://doi.org/10.1126/science.1071914openalex-extracted
The IκB-NF-κB Signaling Module: Temporal Control and Selective Gene Activation
inferredcites →https://doi.org/10.1126/science.1249340openalex-extracted
Internal mRNA Methylation Finally Finds Functions
inferredcites →https://doi.org/10.1177/0962280214530608openalex-extracted
Penalized count data regression with application to hospital stay after pediatric cardiac surgery
inferredcites →https://doi.org/10.1186/1471-2105-9-559openalex-extracted
WGCNA: an R package for weighted correlation network analysis
inferredcites →https://doi.org/10.1186/s12859-018-2516-4openalex-extracted
DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning
inferredcites →https://doi.org/10.1261/rna.069112.118openalex-extracted
Gene2vec: gene subsequence embedding for prediction of mammalian N 6 -methyladenosine sites from mRNA
inferredcites →https://doi.org/10.1371/journal.pcbi.1006663openalex-extracted
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.